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Author SHA1 Message Date
erew123 dd45008e88 Merge pull request #60 from S95Sedan/main
Gui Overhaul
2024-01-10 18:13:06 +00:00
S95Sedan 840889ac9a Update script.py
- Changed non_quoted_text_is_gr from "Char" to "Character"
2024-01-10 16:08:51 +01:00
S95Sedan d3e061b127 Update script.py
- GUI overhaul/cleanup.
- Temperature and Repetition penalty in GUI (disabled) but not yet parsed to API
2024-01-10 15:35:13 +01:00
erew123 50aa6de96c Uploading the correct version!! 2024-01-08 18:57:00 +00:00
erew123 10299194f8 Update README.md 2024-01-08 14:33:16 +00:00
erew123 d80d1ace3c Update README.md 2024-01-08 13:31:40 +00:00
erew123 f19f4e9a29 Update README.md 2024-01-08 13:19:16 +00:00
erew123 7e4ceef0e8 Update README.md 2024-01-08 13:00:48 +00:00
erew123 c1bc1f26cd Export split setting
Avoids the 1GB file limit imposed by browsers and also lowers memory requirements per exported block.
2024-01-08 12:54:14 +00:00
erew123 70d385133d JSON import pagination 2024-01-08 01:13:36 +00:00
erew123 13b2eb5fe3 Update README.md 2024-01-08 01:03:06 +00:00
erew123 ff4b9d9e99 Updates to reduce browser load
Pagination of files list.
No Playback option
Better clearing of played back audio from memory
2024-01-08 00:56:36 +00:00
erew123 a22830f700 Update tts_chunk_player.html
bumped sentence splitting
2024-01-07 21:33:33 +00:00
erew123 374c794fa9 Merge pull request #51 from nicobubulle/fix
Fix greedy option for regex in HTML files
2024-01-07 20:59:13 +00:00
nicobubulle d2adbd9c1e Fix greedy option for regex in HTML files 2024-01-07 18:06:32 +01:00
erew123 1dc4b8bf50 Add $ to demo page regex 2024-01-07 08:38:39 +00:00
erew123 0eba72fc47 Merge pull request #50 from nicobubulle/fix
Fix greedy option for regex
2024-01-07 08:32:24 +00:00
nicobubulle f2c87dcdab Fix greedy option for regex 2024-01-07 09:25:52 +01:00
erew123 4a727ce14a Update README.md 2024-01-06 22:32:19 +00:00
erew123 6e15d43e63 Update README.md 2024-01-06 22:21:22 +00:00
erew123 dedc13b3b6 Update README.md 2024-01-06 22:05:10 +00:00
erew123 7cb206e531 Update README.md 2024-01-06 21:19:25 +00:00
erew123 4f80b39cd0 Update README.md 2024-01-06 20:49:58 +00:00
erew123 332582baea AllTalk TTS Generator 2024-01-06 20:26:05 +00:00
erew123 2bd7ebc514 Delete templates/TTS_Input_Proof_of_concept.html 2024-01-06 20:24:20 +00:00
erew123 7718bfd3ea Update admin.html
Added Hungarian characters
2024-01-05 13:27:49 +00:00
erew123 002c5ad9db Update tts_server.py
Added Hungarian characters
2024-01-05 13:26:15 +00:00
erew123 2c14847708 Update script.py
added Hungarian characters
2024-01-05 13:24:20 +00:00
erew123 3647d69007 Update README.md 2024-01-05 13:18:02 +00:00
erew123 abaa56e8f4 Update admin.html
Additional European and Cyrillic characters
2024-01-04 12:17:23 +00:00
erew123 d0dc9f3212 Update tts_server.py
Additional European language & Cyrillic characters
2024-01-04 12:16:21 +00:00
erew123 67dcc411ad Update script.py
Extend allowed characters, additional European & Cyrillic characters
2024-01-04 12:13:38 +00:00
erew123 b11a087dc8 Update tts_server.py
# Start Uvicorn Webserver
host_parameter = params["ip_address"]
port_parameter = int(params["port_number"])

Corrected format
2024-01-03 20:57:21 +00:00
erew123 e068115eef Merge pull request #43 from nicobubulle/improvement
Regex improvement for text_filtering
2024-01-03 17:54:15 +00:00
nicobubulle 0ec580539a Regex improvement
Add greedy option to avoid apostrophe being removed
Add accentuated character for foreign language
2024-01-03 16:54:25 +01:00
erew123 e9feae12ad path corrected for word_addin 2024-01-03 10:50:22 +00:00
erew123 e183e3a7bb Filtering Demo page
removed some of the demo filtering as it was stripping too much from the text.
2024-01-03 09:36:33 +00:00
erew123 67d2b1c5ea Word-Add-in Proof of concept 2024-01-03 01:29:57 +00:00
erew123 f3b44424ef Update for word add-in 2024-01-03 01:28:56 +00:00
erew123 3b5c4b9b68 added an extra replace for % to percent 2024-01-02 20:37:27 +00:00
erew123 e452a926f2 adding params to demo generate
params.ip_address  &  params.port_number
2024-01-02 20:30:16 +00:00
erew123 b28ecaf43e added pause button 2024-01-01 21:43:23 +00:00
erew123 ba1328311c Update README.md 2024-01-01 20:47:32 +00:00
erew123 9e6b9396bc Corrected Spelling mistakes 2024-01-01 20:30:18 +00:00
erew123 2e40db5fe5 Merge pull request #39 from erew123/dev
Dev
2024-01-01 20:05:09 +00:00
erew123 720bf8697f Merge branch 'main' into dev 2024-01-01 20:05:00 +00:00
erew123 1893d1a130 remove unused style.css file 2024-01-01 19:55:38 +00:00
erew123 8472baf031 Delete style.css 2024-01-01 19:51:23 +00:00
erew123 6cab618706 Update README.md 2024-01-01 18:45:41 +00:00
erew123 ebf3b362f7 Add files via upload 2024-01-01 18:20:44 +00:00
erew123 2dd303f53c Add files via upload 2024-01-01 18:10:14 +00:00
erew123 df69fb0b07 Merge pull request #36 from rbruels/feature/add-streaming-tts
Feature: Add streaming TTS, using the new inference_stream() function from CoquiTTS
2024-01-01 16:58:33 +00:00
erew123 a0d9771fa6 Add files via upload 2024-01-01 16:20:58 +00:00
erew123 a71c46bb98 Merge pull request #35 from rbruels/enhancement/templatize-tts-server-html
Enhancement: Templatize tts-server html for ease of editing
2024-01-01 12:41:08 +00:00
erew123 995f317b4f Merge pull request #37 from erew123/main
sync main to dev
2024-01-01 12:36:36 +00:00
Ryan 6ef2de2923 Support streaming of model inference to lower time to first token for long passages. Uses the new CoquiTTS inference_stream() function 2024-01-01 00:27:11 -08:00
Ryan 37c4e86566 Merge branch 'main' into enhancement/templatize-tts-server-html 2023-12-31 15:09:11 -08:00
Ryan 11071b279b Templatize the tts-server HTML for ease of editing 2023-12-31 15:06:39 -08:00
erew123 5ab7463f35 More narrator shenanigans 2023-12-31 21:35:23 +00:00
erew123 74c9238e3a Update README.md 2023-12-30 22:15:30 +00:00
erew123 e874e46304 Update README.md 2023-12-30 15:26:02 +00:00
33 changed files with 4403 additions and 1171 deletions

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{
"files.associations": {
"*.html": "jinja-html"
},
"emmet.includeLanguages": {
"jinja-html": "html",
"jinja2": "html"
},
}
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# AllTalk TTS # AllTalk TTS
AllTalk is an updated version of the Coqui_tts extension for Text Generation web UI. Features include: AllTalk is an updated version of the Coqui_tts extension for Text Generation web UI. Features include:
- **Can be run as a** [standalone](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app) **or part of** [Text-generation-webui](https://github.com/erew123/alltalk_tts?#-installation-on-text-generation-web-ui)
- **Model Finetuning:** Train the model specifically on a voice of your choosing for better reproduction.
- **Local/Custom models:** Use any of the XTTSv2 models (API Local and XTTSv2 Local).
- **Bulk TTS Generator/Editor:** Generate hours of TTS into one big file or have something read back to you [demo](https://www.youtube.com/watch?v=hunvXn0mLzc).
- **DeepSpeed:** A 3-4x performance boost generating TTS. [DeepSpeed Windows/Linux Instructions](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options) [Screenshot](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db)
- **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots) - **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA) - **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA)
- **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **DeepSpeed:** A 3-4x performance boost generating TTS. [DeepSpeed Windows/Linux Instructions](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options) [Screenshot](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db)
- **Local/Custom models:** Use any of the XTTSv2 models (API Local and XTTSv2 Local).
- **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots) - **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Finetuning** Train the model specifically on a voice of your choosing for better reproduction.
- **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots) - **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Console output** Clear command line output for any warnings or issues. - **Console output:** Clear command line output for any warnings or issues.
- **API Suite and 3rd Party support via JSON calls** Can be used with 3rd party applications via JSON calls. - **API Suite and 3rd Party support via JSON calls:** Can be used with 3rd party applications via JSON calls.
- **Can be run as a standalone app** Not just inside of text-generation-webui.
## Index ## Index
@@ -22,6 +23,7 @@ AllTalk is an updated version of the Coqui_tts extension for Text Generation web
- ⚫ [Finetuning a model](https://github.com/erew123/alltalk_tts?#-finetuning-a-model) - ⚫ [Finetuning a model](https://github.com/erew123/alltalk_tts?#-finetuning-a-model)
- 🔵🟢🟡 [DeepSpeed Installation (Windows & Linux)](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options) - 🔵🟢🟡 [DeepSpeed Installation (Windows & Linux)](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options)
- 🟦 [Running AllTalk as a standalone app](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app) - 🟦 [Running AllTalk as a standalone app](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app)
- ⬜ [AllTalk TTS Generator](https://github.com/erew123/alltalk_tts?#-alltalk-tts-generator)
- 🟠 [API Suite and JSON-CURL](https://github.com/erew123/alltalk_tts?#-api-suite-and-json-curl) - 🟠 [API Suite and JSON-CURL](https://github.com/erew123/alltalk_tts?#-api-suite-and-json-curl)
- 🔴 [Future to-do list & Upcoming updates](https://github.com/erew123/alltalk_tts?#-future-to-do-list) - 🔴 [Future to-do list & Upcoming updates](https://github.com/erew123/alltalk_tts?#-future-to-do-list)
@@ -69,17 +71,20 @@ Once the extension is loaded, please find all documentation and settings on the
**Where to find voices** https://aiartes.com/voiceai or https://commons.wikimedia.org/ or interviews on youtube etc. Instructions on how to cut down and prepare a voice sample are within the built in documentation. **Where to find voices** https://aiartes.com/voiceai or https://commons.wikimedia.org/ or interviews on youtube etc. Instructions on how to cut down and prepare a voice sample are within the built in documentation.
#### 🟩 The one thing I cant easily work around #### 🟩 The one thing I cant easily work around
Narrator function specific - With a RP chat with your AI, **on your character card** `parameters menu` > `character tab` > `greeting` make sure that anything in there that is the **narrator is in asterisks** and anything **spoken is in double quotes**, then hit the `save` (💾) button. Greeting paragraphs/sentences are handled differently from how the AI sends text and so its difficut to account for them both. Messages intended for the Narrator should be enclosed in asterisks `*` and those for the character inside quotation marks `"`. However, AI systems often deviate from these rules, resulting in text that is neither in quotes nor asterisks. Sometimes, text may appear with only a single asterisk, and AI models may vary their formatting mid-conversation. For example, they might use asterisks initially and then switch to unmarked text. A properly formatted line should look like this:
I could force a delimeter in at this stage, but I know it would/may affect things further down the line in the chat and I need a good think about that before just making a change. This issue **only** affects the greeting card/start of conversation and the "example" card that comes with text-generation-webui suffers this issue (if you want to try it for yourself). So you would put double quotes around like this (from the example card): `"`Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers.`"` `*`She walked across the room and picked up her cup of coffee`*`
`"`*Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers. I'm sure you have a wealth of knowledge that I can learn from.*`"` Most narrator/character systems switch voices upon encountering an asterisk or quotation marks, which is somewhat effective. AllTalk has undergone several revisions in its sentence splitting and identification methods. While some irregularities and AI deviations in message formatting are inevitable, any line beginning or ending with an asterisk should now be recognized as Narrator dialogue. Lines enclosed in double quotes are identified as Character dialogue. For any other text, you can choose how AllTalk handles it: whether it should be interpreted as Character or Narrator dialogue (most AI systems tend to lean more towards one format when generating text not enclosed in quotes or asterisks).
With improvements to the splitter/processor, I'm confident it's functioning well. You can monitor what AllTalk identifies as Narrator lines on the command line and adjust its behavior if needed (Text Not Inside - Function).
## 🟪 Updating ## 🟪 Updating
This is pretty much a repeat of the installation process. This is pretty much a repeat of the installation process.
1) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br> 1) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br>
`cd text-generation-webui` `cd text-generation-webui` and start the Python environment for your OS with whichever **one** of the below is correct for your OS:<br><br>
`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`<br>
2) Move into your extensions and alltalk_tts folder:<br><br> 2) Move into your extensions and alltalk_tts folder:<br><br>
`cd extensions` then `cd alltalk_tts` `cd extensions` then `cd alltalk_tts`
@@ -146,6 +151,7 @@ Assuming its all working fine and you are happy, you can delete the old alltalk_
|:---:|:---:| |:---:|:---:|
|![image](https://github.com/erew123/alltalk_tts/assets/35898566/b0e13dba-c6b1-4ab7-845d-244ac1158330) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/e35e987c-543a-486b-b4fb-ee6ebe6f59c6) | |![image](https://github.com/erew123/alltalk_tts/assets/35898566/b0e13dba-c6b1-4ab7-845d-244ac1158330) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/e35e987c-543a-486b-b4fb-ee6ebe6f59c6) |
|![image](https://github.com/erew123/alltalk_tts/assets/35898566/68edc968-bdd2-4f98-9d56-b9ca40decf26) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/eb5e617b-2345-418d-8267-a9d30f705a10) | |![image](https://github.com/erew123/alltalk_tts/assets/35898566/68edc968-bdd2-4f98-9d56-b9ca40decf26) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/eb5e617b-2345-418d-8267-a9d30f705a10) |
|![image](https://github.com/erew123/alltalk_tts/assets/35898566/4bd0f02e-298d-4e46-95ea-afc003c1cb70) |
## 🟨 Help with problems ## 🟨 Help with problems
#### &nbsp;&nbsp;&nbsp;&nbsp; 🔄 **Minor updates/bug fixes list** can be found [here](https://github.com/erew123/alltalk_tts/issues/25) #### &nbsp;&nbsp;&nbsp;&nbsp; 🔄 **Minor updates/bug fixes list** can be found [here](https://github.com/erew123/alltalk_tts/issues/25)
@@ -276,7 +282,7 @@ Depending on which of your Nvidia GPU's is the more powerful one, you can change
## ⚫ Finetuning a model ## ⚫ Finetuning a model
If you have a voice that the model doesnt quite reproduce correctly, or indeed you just want to improve the reproduced voice, then finetuning is a way to train your "XTTSv2 local" model **(stored in `/alltalk_tts/models/xxxxx/`)** on a specific voice. For this you will need: If you have a voice that the model doesnt quite reproduce correctly, or indeed you just want to improve the reproduced voice, then finetuning is a way to train your "XTTSv2 local" model **(stored in `/alltalk_tts/models/xxxxx/`)** on a specific voice. For this you will need:
- An Nvidia graphics card. (Please see this [note](https://github.com/erew123/alltalk_tts#i-have-multiple-gpus-and-i-have-problems-running-finetuning) if you have multiple Nvidia GPU's). - An Nvidia graphics card. (Please see this [note](https://github.com/erew123/alltalk_tts#-i-have-multiple-gpus-and-i-have-problems-running-finetuning) if you have multiple Nvidia GPU's).
- To install a few portions of the Nvidia CUDA 11.8 Toolkit (this will not impact text-generation-webui's cuda setup. - To install a few portions of the Nvidia CUDA 11.8 Toolkit (this will not impact text-generation-webui's cuda setup.
- 18GB of disk space free (most of this is used temporarily) - 18GB of disk space free (most of this is used temporarily)
- At least 2 minutes of good quality speech from your chosen speaker in mp3, wav or flacc format, in one or more files (have tested as far as 20 minutes worth of audio). - At least 2 minutes of good quality speech from your chosen speaker in mp3, wav or flacc format, in one or more files (have tested as far as 20 minutes worth of audio).
@@ -502,27 +508,75 @@ def get_shm_size():
## 🟦 Running AllTalk as a standalone app ## 🟦 Running AllTalk as a standalone app
AllTalk will run as a standalone app, as long as you install its requirements files into whatever Python environment you are using. You can follow the steps to install the AllTalk's requirements into whatever Python environment you wish. Because I dont know what Python environment you are wanting to use, I can only give you a loose set of installation instructions. AllTalk will run as a standalone app, as long as you install its requirements files into whatever Python environment you are using. You can follow the steps to install the AllTalk's requirements into whatever Python environment you wish. Because I dont know what Python environment you are wanting to use, I can only give you a loose set of installation instructions.
Please note, at time of writing, the TTS engine requires Python **3.9.x** to **3.11.x** [TTS Engine details here](https://pypi.org/project/TTS/). AllTalk and its requirements are tested on Python 3.11.x. Please note, at time of writing, the TTS engine requires Python **3.9.x** to **3.11.x** [TTS Engine details here](https://pypi.org/project/TTS/). AllTalk and its requirements are tested on Python **3.11.x**.
#### 🟦 (Option 1) I already have AllTalk installed as an extension of Text-generation-webui #### 🟦 (Option 1) I already have AllTalk installed as an extension of Text-generation-webui
If you already have AllTalk as a extension of Text-generation-webui, and wish to run it as standalone, load Text-generation-webui's Python environment `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`, move into the AllTalk folder `cd extensions` > `cd alltalk_tts` and start AllTalk with `python script.py`. There is nothing beyond this you would need to do. If you already have AllTalk as a extension of Text-generation-webui, and wish to run it as standalone, load Text-generation-webui's Python environment `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`, move into the AllTalk folder `cd extensions` > `cd alltalk_tts` and start AllTalk with `python script.py`. There is nothing beyond this you would need to do.
#### 🟦 (Option 2) I wish to do a custom install of AllTalk #### 🟦 (Option 2) I wish to do a custom install of AllTalk
1) In your chosen disk location git clone this repository:<br><br> #### 🔹 A very quick understanding of Python Environments.
`git clone https://github.com/erew123/alltalk_tts` Different Python applications have different requirements, some of those requirement’s conflict with other Python applications requirements. To work around this problem, you can create different Python environments that remain separated from one another. A simple way of looking at Python environments, is just like how your house has different rooms for specific purposes (Kitchen, Bathroom, Bedroom etc). You can create a Python environment that is built/customised specifically for your current applications needs/purposes and will **not** interfere with any other Python applications environments/installations. <br><br>If you are adept at managing Python environments, have an existing Python environment and know that you won’t cause any conflicts by installing AllTalk's requirements within that Python environment, then load up your Python environment and install the requirements. For everyone else, here is a basic guide on installing AllTalk in its own custom Python environment (there will be small variations between OS's, but the principle is the same).
2) Move into the **alltalk_tts** folder:<br><br> **Note:** A standard VENV can cause module path issues, hence Conda is the correct method to create a Python environment for AllTalk.
`cd alltalk_tts`
3) If you have a custom Python environment, now is the time to load it! #### 🔹 Building a custom Python Environment with Miniconda
1) Open a terminal/command prompt, and confirm that both `python --version` and `pip` both work. Neither of them should give an error message. If they do you may need to install Python (and maybe Pip).<br><br>[Python Website](https://www.python.org/downloads/)<br>[Pip Website](https://pip.pypa.io/en/stable/installation/)<br><br>Once you have those working you can now continue on.<br><br>
4) Install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br> 2) Assuming you don't already have Miniconda installed, we will need to download and install Minoconda as this is what we will use to build our custom Python environment.<br><br>[Miniconda Website](https://docs.conda.io/projects/miniconda/en/latest/)<br><br>Download the Miniconda version that is correct for your OS and then install it. Miniconda will create some items in your Start Menu or Application Launcher called something like `Anaconda Prompt`<br><br> You will start the `Anaconda Prompt` and your prompt in your terminal/command prompt will say something like: <br><br>`(base) C:\users\myaccount\>`<br><br> The important bit is that it has the `(base)`, the location after that doesn't matter. `(base)` signifies we are in the base conda Python environment and can now create custom Python environments with Conda.<br><br>
3) In your Anaconda Prompt command prompt/terminal, move into the folder where you want to download AllTalk to and then git clone this repository. For simplicity I am going to assume that location is `c:\myfiles\`. So you will:<br><br>`cd myfiles`<br><br>`git clone https://github.com/erew123/alltalk_tts`<br><br>
4) Now we will create our custom Conda Python 3.11.5 environment and give it the name alltalkenv by typing the following at the prompt:<br><br>`conda create --name alltalkenv python=3.11.5`<br><br>You will be prompted if you want to continue and you say yes.<br><br>Once that process has completed, we now need to change from the `(base)` Conda Python environment, to our newly created `(alltalkenv)` environment. So type the following:<br><br>`conda activate alltalkenv`<br><br>Your prompt should now change from `(base) C:\myfiles\>` to `(alltalkenv) C:\myfiles\>`<br><br>
5) **If you are NOT using an Nvidia card and CUDA, skip to step 6**. To force PyTorch to install with CUDA, perform the following:<br><br>`pip cache purge` (Clear the current Pip cache)<br><br>`pip uninstall torch torchaudio` (Uninstall Torch and Torchaudio from the `alltalkenv` environment)<br><br>
You can now either install the CUDA 11.8 or 12.1 version of Torch and Torchaudio with **one** of the following<br><br>**CUDA 11.8** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`<br><br>**CUDA 12.1** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121`<br><br>
6) Move into the alltalk_tts folder and install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br>`cd alltalk_tts`<br><br>
**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br> **Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt` **Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`<br><br>
5) Start AllTalk with `python script.py` 7) Start AllTalk with `python script.py`<br><br>
Deepspeed and other such things can be installed. Please read the relevant instructions for those items, however, make the relevant changes to load your correct Python environment when installing any requirements files and starting AllTalk. 🔹Anytime you wish to use AllTalk, update its requirements, install some other requirements such as DeepSpeed, you will need to start its Conda Python Environment in the terminal/prompt, which you will do with `conda activate alltalkenv` as long as the Conda executable is accessible at the command prompt/terminal you are in.<br><br>It is fully possible to create a batch file or script file that you can use as a launcher from your Start Menu/Application Launcher that will start the environment and AllTalk for you.
Deepspeed and other such things can be installed. Please read the relevant instructions for those items, however, make the relevant changes to load your correct Python environment when installing any requirements files and starting AllTalk.<br><br>
## ⬜ AllTalk TTS Generator
AllTalk TTS Generator is the solution for converting large volumes of text into speech using the voice of your choice. Whether you're creating audio content or just want to hear text read aloud, the TTS Generator is equipped to handle it all efficiently. Please see here for a quick [demo](https://www.youtube.com/watch?v=hunvXn0mLzc)<br><br>The link to open the TTS generator can be found on the built-in Settings and Documentation page.<br><br>**DeepSpeed** is **highly** recommended to speed up generation. **Low VRAM** would be best turned off and your LLM model unloaded from your GPU VRAM (unload your model). **No Playback** will reduce memory overhead on very large generations (15,000 words or more). Splitting **Export to Wav** into smaller groups will also reduce memory overhead at the point of exporting your wav files (so good for low memory systems).
#### ⬜ Estimated Throughput
This will vary by system for a multitude of reasons, however, while generating a 58,000 word document to TTS, with DeepSpeed enabled, LowVram disabled, splitting size 2 and on an Nvidia RTX 4070, throughput was around 1,000 words per minute. Meaning, this took 1 hour to generate the TTS. Exporting to combined wavs took about 2-3 minutes total.
#### ⬜ Quick Start
- **Text Input:** Enter the text you wish to convert into speech in the 'Text Input' box.
- **Generate TTS:** Hit this to start the text-to-speech conversion.
- **Pause/Resume:** Used to pause and resume the playback of the initial generation of wavs or the stream.
- **Stop Playback:** This will stop the current audio playing back. It does not stop the text from being generated however.
Once you have sent text off to be generated, either as a stream or wav file generation, the TTS server will remain busy until this process has competed. As such, think carefully as to how much you want to send to the server.
If you are generating wav files and populating the queue, you can generate one lot of text to speech, then input your next lot of text and it will continue adding to the list.
#### ⬜ TTS Generation Modes
- **Wav Chunks:** Perfect for creating audio books, or anything you want to keep long term. Breaks down your text into manageable wav files and queues them up. Generation begins automatically, and playback will start after a few chunks have been prepared ahead. You can set the volume to 0 if you don’t want to hear playback. With Wav chunks, you can edit and/or regenerate portions of the TTS as needed.
- **Streaming:** For immediate playback without the ability to save. Ideal for on-the-fly speech generation and listening. This will not generate wav files and it will play back through your browser. You cannot stop the server generating the TTS once it has been sent.<br><br>
With wav chunks you can either playback “In Browser” which is the web page you are on, or “On Server” which is through the console/terminal where AllTalk is running from, or "No Playback". Only generation “In Browser” can play back smoothly and populate the Generated TTS List. Setting the Volume will affect the volume level played back both “In Browser” and “On Server”.<br><br>
For generating **large amounts of TTS**, it's recommended to select the **No Playback** option. This setting minimizes the memory usage in your web browser by avoiding the loading and playing of audio files directly within the browser, which is particularly beneficial for handling extensive audio generations. The definition of large will vary depending on your system RAM availability (will update when I have more information as to guidelines). Once the audio is generated, you can export your list to JSON (for safety) and use the **Play List** option to play back your audio.
#### ⬜ Playback and List Management
- **Playback Controls:** Utilize 'Play List' to start from the beginning or 'Stop Playback' to halt at any time.
- **Custom Start:** Jump into your list at a specific ID to hear a particular section.
- **Regeneration and Editing:** If a chunk isn't quite right, you can opt to regenerate it or edit the text directly. Click off the text to save changes and hit regenerate for the specific line.
- **Export/Import List:** Save your TTS list as a JSON file or import one. Note: Existing wav files are needed for playback. Exporting is handy if you want to take your files away into another program and have a list of which wav is which, or if you keep your audio files, but want to come back at a later date, edit one or two lines, regenerate the speech and re-combine the wav’s into one new long wav.
#### ⬜ Exporting Your Audio
- **Export to WAV:** Combine all generated TTS from the list, into one single WAV file for easy download and distribution. Its always recommended to export your list to a JSON before exporting, so that you have a backup, should something go wrong. You can simply re-import the list and try exporting again.<br><br>When exporting, there is a file size limit of 1GB and as such you have the option to choose how many files to include in each block of audio exported. 600 is just on the limit of 1GB, depending on the average file size, so 500 or less is a good amount to work with. You can combine the generated files after if you wish, in Audacity or similar.<br><br>Additionally, lower export batches will lower the memory requirements, so if your system is low on memory (maybe 8 or 16GB system), you can use smaller export batches to keep the memory requirement down.
#### ⬜ Customization and Preferences
- **Character Voice:** Choose the voice that will read your text.
- **Language:** Select the language of your text.
- **Chunk Sizes:** Decide the size of text chunks for generation. Smaller sizes are recommended for better TTS quality.
#### ⬜ Interface and Accessibility
- **Dark/Light Mode:** Switch between themes for your visual comfort.
- **Word Count and Generation Queue:** Keep track of the word count and the generation progress.
#### ⬜ Notes on Usage
- For seamless TTS generation, it's advised to keep text chunks under 250 characters, which you can control with the Chunk sizes.
- Generated audio can be played back from the list, which also highlights the currently playing chunk.
- The TTS Generator remembers your settings, so you can pick up where you left off even after refreshing the page.
## 🟠 API Suite and JSON-CURL ## 🟠 API Suite and JSON-CURL
### 🟠Overview ### 🟠Overview
@@ -691,14 +745,14 @@ The API returns a JSON object with the following properties:
- **status** Indicates whether the generation was successful (generate-success) or failed (generate-failure).<br> - **status** Indicates whether the generation was successful (generate-success) or failed (generate-failure).<br>
- **output_file_path** The on-disk location of the generated WAV file.<br> - **output_file_path** The on-disk location of the generated WAV file.<br>
- **output_file_url** The HTTP location for accessing the generated WAV file.<br> - **output_file_url** The HTTP location for accessing the generated WAV file for browser playback.<br>
- **output_cache_url** The HTTP location for accessing the generated WAV file as a pushed download.<br>
Example JSON TTS Generation Response: Example JSON TTS Generation Response:
`{"status": "generate-success", "output_file_path": "C:\text-generation-webui\extensions\alltalk_tts\outputs\myoutputfile_1703149973.wav", "output_file_url": "http://127.0.0.1:7851/audio/myoutputfile_1703149973.wav"}` `{"status":"generate-success","output_file_path":"C:\\text-generation-webui\\extensions\\alltalk_tts\\outputs\\myoutputfile_1704141936.wav","output_file_url":"http://127.0.0.1:7851/audio/myoutputfile_1704141936.wav","output_cache_url":"http://127.0.0.1:7851/audiocache/myoutputfile_1704141936.wav"}`
### 🔴 Future to-do list ### 🔴 Future to-do list
- Voice output within the command prompt/terminal (TBD). - SillyTavern Support
- Correct a few spelling mistakes in the documentation.
- Possibly add some additional TTS engines (TBD). - Possibly add some additional TTS engines (TBD).
- Have a break! - Have a break!
+117 -151
View File
@@ -509,8 +509,53 @@ def voice_preview(string):
return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}" return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}"
def replace_asterisk(match): def process_text(text):
return match.group(0) + '&quot;<*' # Normalize HTML encoded quotes
text = html.unescape(text)
# Replace ellipsis with a single dot
text = re.sub(r'\.{3,}', '.', text)
# Pattern to identify combined narrator and character speech
combined_pattern = r'(\*[^*"]+\*|"[^"*]+")'
# List to hold parts of speech along with their type
ordered_parts = []
# Track the start of the next segment
start = 0
# Find all matches
for match in re.finditer(combined_pattern, text):
# Add the text before the match, if any, as ambiguous
if start < match.start():
ambiguous_text = text[start:match.start()].strip()
if ambiguous_text:
ordered_parts.append(('ambiguous', ambiguous_text))
# Add the matched part as either narrator or character
matched_text = match.group(0)
if matched_text.startswith('*') and matched_text.endswith('*'):
ordered_parts.append(('narrator', matched_text.strip('*').strip()))
elif matched_text.startswith('"') and matched_text.endswith('"'):
ordered_parts.append(('character', matched_text.strip('"').strip()))
else:
# In case of mixed or improperly formatted parts
if '*' in matched_text:
ordered_parts.append(('narrator', matched_text.strip('*').strip('"')))
else:
ordered_parts.append(('character', matched_text.strip('"').strip('*')))
# Update the start of the next segment
start = match.end()
# Add any remaining text after the last match as ambiguous
if start < len(text):
ambiguous_text = text[start:].strip()
if ambiguous_text:
ordered_parts.append(('ambiguous', ambiguous_text))
return ordered_parts
################################# #################################
#### TTS STANDARD GENERATION #### #### TTS STANDARD GENERATION ####
@@ -520,6 +565,7 @@ def output_modifier(string, state):
if not params["activate"]: if not params["activate"]:
return string return string
original_string = string original_string = string
#print("ORIGINAL STRING IS:", original_string)
cleaned_string = before_audio_generation(string, params) cleaned_string = before_audio_generation(string, params)
if cleaned_string is None: if cleaned_string is None:
return return
@@ -530,82 +576,55 @@ def output_modifier(string, state):
if process_lock.acquire(blocking=False): if process_lock.acquire(blocking=False):
try: try:
if params["narrator_enabled"]: if params["narrator_enabled"]:
# Do Some basic stripping and remove any double CR's processed_parts = process_text(original_string)
processed_string = (
original_string
.replace("***", "*")
.replace("**", "*")
.replace("\n\n", "\n")
.replace("\n", "")
)
processed_string = re.sub(r'\.\*\n\*', '. ', processed_string)
processed_string = (processed_string .replace('&quot;\n\n*', '&quot;<*'))
processed_string = (processed_string .replace('&quot;\n', '< '))
processed_string = (processed_string .replace("&#x27;", "'"))
processed_string = (processed_string .replace("\n", " "))
processed_string = (processed_string .replace('&quot;', '&quot;<'))
processed_string = (processed_string .replace('"', '&quot;<'))
#pattern = re.compile(r'(?<=[a-zA-Z!])&quot;<(?=[a-zA-Z])')
pattern = re.compile(r'(?<=[a-zA-Z!?\.])&quot;<(?=[a-zA-Z])')
processed_string = pattern.sub('&quot; ', processed_string)
pattern = re.compile(r'(?<=[a-zA-Z])\*(?=[a-zA-Z])')
processed_string = pattern.sub('*&quot;', processed_string)
processed_string = processed_string.replace('&quot;<. *', '&quot;< *"')
processed_string = processed_string.replace('< *"', '< *')
processed_string = processed_string.replace('. *', '< *')
processed_string = processed_string.replace('! *', '&quot;< *')
processed_string = processed_string.replace('? *', '< *')
processed_string = processed_string.replace('* ', '* &quot;<')
processed_string = processed_string.replace('*. ', '* &quot;<')
processed_string = re.sub(r'\*(?=[a-zA-Z])', replace_asterisk, processed_string)
# Set up a tracking of the individual wav files.
audio_files_all_paragraphs = [] audio_files_all_paragraphs = []
# Split the line using &quot; and ".* " (so end of sentences, leaving special characters added to the start of all OTHER sentences, bar possibly the first one if its starting with a * for part_type, part in processed_parts:
parts = re.split(r'&quot;|\.\*', processed_string)
audio_files_paragraph = []
for i, part in enumerate(parts):
# Skip parts that are too short # Skip parts that are too short
if len(part.strip()) <= 3: if len(part.strip()) <= 3:
continue continue
# Figure out which type of line it is, then replace characters as necessary to avoid TTS trying to pronunce them, htmlunescape after.
# Character will always be a < with a letter immediately after it # Determine the voice to use based on the part type
if '<' in part and '< *' not in part and '<*' not in part and '< *' not in part and '< ' not in part and '< ' not in part: if part_type == 'narrator':
cleaned_part = html.unescape(part.replace('<', ''))
voice_to_use = params["voice"]
#Narrator will always be an * or < with an * a position or two after it.
elif '<*' in part or '< *' in part or '< *' in part or '*' in part:
cleaned_part = html.unescape(part.replace('<*', '').replace('< *', '').replace('< *', '').replace('*', ''))
voice_to_use = params["narrator_voice"] voice_to_use = params["narrator_voice"]
#If the other two dont capture it, aka, the AI gave no * or &quot; on the line, use non_quoted_text_is aka user interface, user can choose Char or Narrator print(f"[{params['branding']}TTSGen] \033[92mNarrator\033[0m") # Green
elif non_quoted_text_is: elif part_type == 'character':
cleaned_part = html.unescape(part.replace('< ', '').replace('< ', '').replace('< ', ''))
voice_to_use = params["voice"] voice_to_use = params["voice"]
print(f"[{params['branding']}TTSGen] \033[36mCharacter\033[0m") # Yellow
else: else:
cleaned_part = html.unescape(part.replace('< ', '').replace('< ', '').replace('< ', '')) # Handle ambiguous parts based on user preference
voice_to_use = params["narrator_voice"] voice_to_use = params["voice"] if non_quoted_text_is else params["narrator_voice"]
# Generate that TTS and output to a file voice_description = "\033[36mCharacter (Text-not-inside)\033[0m" if non_quoted_text_is else "\033[92mNarrator (Text-not-inside)\033[0m"
print(f"[{params['branding']}TTSGen] {voice_description}")
# Replace multiple exclamation marks, question marks, or other punctuation with a single instance
cleaned_part = re.sub(r'([!?.])\1+', r'\1', part)
# Further clean to remove any other unwanted characters
cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\$]', '', cleaned_part)
# Remove all newline characters (single or multiple)
cleaned_part = re.sub(r'\n+', ' ', cleaned_part)
# Generate TTS and output to a file
output_filename = get_output_filename(state) output_filename = get_output_filename(state)
generate_response = send_generate_request( generate_response = send_generate_request(
cleaned_part, voice_to_use, language_code, output_filename cleaned_part, voice_to_use, language_code, output_filename
) )
audio_path = generate_response.get("data", {}).get("audio_path") audio_path = generate_response.get("data", {}).get("audio_path")
audio_files_paragraph.append(audio_path) audio_files_all_paragraphs.append(audio_path)
# Accumulate audio files within the paragraph
audio_files_all_paragraphs.extend(audio_files_paragraph)
# Combine audio files across paragraphs # Combine audio files across paragraphs
final_output_file = combine( final_output_file = combine(
audio_files_all_paragraphs, params["output_folder_wav"], state audio_files_all_paragraphs, params["output_folder_wav"], state
) )
else: else:
processed_string = ( # Decode HTML entities first
original_string cleaned_part = html.unescape(original_string)
.replace("***", "") # Replace multiple instances of certain punctuation marks with a single instance
.replace("**", "") cleaned_part = re.sub(r'([!?.])\1+', r'\1', cleaned_part)
.replace("*", "") # Further clean to remove any other unwanted characters
.replace("\n\n", "\n") cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\$]', '', cleaned_part)
.replace("&#x27;", "'") # Remove all newline characters (single or multiple)
) cleaned_part = re.sub(r'\n+', ' ', cleaned_part)
cleaned_part = html.unescape(processed_string)
# Process the part and give it a non-character name if being used vai API or standalone. # Process the part and give it a non-character name if being used vai API or standalone.
if "character_menu" in state: if "character_menu" in state:
output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav') output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav')
@@ -713,101 +732,20 @@ def input_modifier(string, state):
shared.processing_message = "*Is recording a voice message...*" shared.processing_message = "*Is recording a voice message...*"
return string return string
def custom_css():
path_to_css = Path(f"{this_dir}/style.css")
return open(path_to_css, "r").read()
def ui(): def ui():
with gr.Accordion(params["branding"] + " TTS (XTTSv2)"): with gr.Accordion(params["branding"] + " TTS (XTTSv2)"):
with gr.Row(): with gr.Row():
activate = gr.Checkbox(value=params["activate"], label="Activate TTS") activate = gr.Checkbox(value=params['activate'], label='Enable TTS')
autoplay = gr.Checkbox( autoplay = gr.Checkbox(value=params['autoplay'], label='Autoplay TTS')
value=params["autoplay"], label="Play TTS automatically" show_text = gr.Checkbox(value=params['show_text'], label='Show Text')
)
with gr.Row(): with gr.Row():
show_text = gr.Checkbox( low_vram = gr.Checkbox(value=params['low_vram'], label='Enable Low VRAM Mode')
value=params["show_text"], label="Show message text under audio player"
)
remove_trailing_dots = gr.Checkbox(
value=params["remove_trailing_dots"],
label='Remove trailing "." from text segments before generation',
)
with gr.Row():
with gr.Row():
available_voices = get_available_voices()
default_voice = params["voice"]
# Check if the default voice is in the list of available voices
if default_voice not in available_voices:
# Handle the case where the default voice is not in the list (choose a default value or update it)
default_voice = available_voices[
0
] # Choose the first available voice as the default
# Add allow_custom_value=True to the Dropdown
voice = gr.Dropdown(
available_voices,
label="Default Voice",
value=default_voice,
allow_custom_value=True,
)
create_refresh_button(
voice,
lambda: None,
lambda: {
"choices": get_available_voices(),
"value": params["voice"],
},
"refresh-button",
)
language = gr.Dropdown(
languages.keys(),
label="Language",
allow_custom_value=True,
value=params["language"],
)
with gr.Row():
with gr.Row():
narrator_voice_gr = gr.Dropdown(
get_available_voices(),
label="Narrator Voice",
allow_custom_value=True,
value=params["narrator_voice"],
)
create_refresh_button(
narrator_voice_gr,
lambda: None,
lambda: {
"choices": get_available_voices(),
"value": params["narrator_voice"],
},
"refresh-button",
)
narrator_enabled_gr = gr.Radio(
choices={"Enabled": "true", "Disabled": "false"},
label="Narrator Activation",
value="Enabled" if params.get("narrator_enabled") else "Disabled",
)
non_quoted_text_is_gr = gr.Radio(
choices={"Char": "true", "Narrator": "false"},
label='Text NOT inside of * or " is',
value="Char" if non_quoted_text_is else "Narrator",
)
with gr.Row():
low_vram = gr.Checkbox(
value=params["low_vram"], label="Low VRAM mode (Read NOTE)"
)
low_vram_play = gr.HTML(visible=False) low_vram_play = gr.HTML(visible=False)
deepspeed_checkbox = gr.Checkbox( deepspeed_checkbox = gr.Checkbox(value=params['deepspeed_activate'], label='Enable DeepSpeed', visible=deepspeed_installed)
value=params["deepspeed_activate"],
label="Activate DeepSpeed (Read NOTE)",
visible=deepspeed_installed,
)
deepspeed_checkbox_play = gr.HTML(visible=False) deepspeed_checkbox_play = gr.HTML(visible=False)
remove_trailing_dots = gr.Checkbox(value=params['remove_trailing_dots'], label='Remove trailing "."')
with gr.Row(): with gr.Row():
model_loader_choices=["API TTS", "API Local", "XTTSv2 Local"] model_loader_choices=["API TTS", "API Local", "XTTSv2 Local"]
@@ -815,13 +753,37 @@ def ui():
model_loader_choices.append("XTTSv2 FT") model_loader_choices.append("XTTSv2 FT")
tts_radio_buttons = gr.Radio( tts_radio_buttons = gr.Radio(
choices=model_loader_choices, choices=model_loader_choices,
label="Select TTS Generation Method (Read NOTE)", label="TTS Method (Each method sounds slightly different)",
value=gr_modelchoice, # Set the default value value=gr_modelchoice, # Set the default value
) )
tts_radio_buttons_play = gr.HTML(visible=False) tts_radio_buttons_play = gr.HTML(visible=False)
with gr.Row():
available_voices = get_available_voices()
default_voice = params["voice"] # Check if the default voice is in the list of available voices
if default_voice not in available_voices:
default_voice = available_voices[ 0 ] # Choose the first available voice as the default
# Add allow_custom_value=True to the Dropdown
voice = gr.Dropdown(available_voices, label="Character Voice", value=default_voice, allow_custom_value=True, )
create_refresh_button(voice, lambda: None, lambda: {"choices": get_available_voices(), "value": params["voice"],}, "refresh-button",)
with gr.Row():
language = gr.Dropdown(languages.keys(), label="Language", value=params["language"])
with gr.Row():
narrator_voice_gr = gr.Dropdown(get_available_voices(), label="Narrator Voice", allow_custom_value=True, value=params["narrator_voice"])
create_refresh_button(narrator_voice_gr, lambda: None, lambda: {"choices": get_available_voices(), "value": params["narrator_voice"],}, "refresh-button")
# Temperature and Repetition Penalty (Not yet parsed to api/implemented)
# with gr.Row():
# local_temperature_gr = gr.Slider(minimum=0, maximum=1, step=0.05, label="Temperature", value=params["local_temperature"])
# local_repetition_penalty_gr = gr.Slider(minimum=0, maximum=20, step=0.5, label="Repetition Penalty", value=params["local_repetition_penalty"])
with gr.Row():
with gr.Row():
narrator_enabled_gr = gr.Radio(choices={"Enabled": "true", "Disabled": "false"}, label="Narrator", value="Enabled" if params.get("narrator_enabled") else "Disabled")
non_quoted_text_is_gr = gr.Radio(choices={"Character": "true", "Narrator": "false"}, label='Unmarked text NOT inside of * or " is', value="Character" if non_quoted_text_is else "Narrator")
explanation_text = gr.HTML( explanation_text = gr.HTML(
f"<p>⚙️ <a href='http://{params['ip_address']}:{params['port_number']}'>Click here for the Settings page, help & instructions</a><a href='http://{params['ip_address']}:{params['port_number']}'></a>⚙️<br>NOTE: Switching Model Type, Low VRAM & DeepSpeed, each takes 15 seconds. Each TTS generation method has a slightly different sound. DeepSpeed checkbox is only visible if DeepSpeed is installed on your system." f"<p>⚙️ <a href='http://{params['ip_address']}:{params['port_number']}'>Settings and Documentation Page</a><a href='http://{params['ip_address']}:{params['port_number']}'></a>⚙️<br>- Low VRAM Mode and Deepspeed take 15 seconds to be enabled or disabled.<br>- The DeepSpeed checkbox is only visible if DeepSpeed is present.</p>")
)
with gr.Row(): with gr.Row():
preview_text = gr.Text( preview_text = gr.Text(
@@ -900,6 +862,10 @@ def ui():
voice.change(lambda x: params.update({"voice": x}), voice, None) voice.change(lambda x: params.update({"voice": x}), voice, None)
language.change(lambda x: params.update({"language": x}), language, None) language.change(lambda x: params.update({"language": x}), language, None)
# TTS Settings (Not yet parsed to api/implemented)
# local_temperature_gr.change(lambda x: params.update({"local_temperature": x}), local_temperature_gr, None)
# local_repetition_penalty_gr.change(lambda x: params.update({"local_repetition_penalty": x}), local_repetition_penalty_gr, None)
# Narrator selection actions # Narrator selection actions
narrator_enabled_gr.change(update_narrator_enabled, narrator_enabled_gr, None) narrator_enabled_gr.change(update_narrator_enabled, narrator_enabled_gr, None)
non_quoted_text_is_gr.change(update_non_quoted_text_is, non_quoted_text_is_gr, None) non_quoted_text_is_gr.change(update_non_quoted_text_is, non_quoted_text_is_gr, None)
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.SDAP .hires_opts input[type="number"] {
width: 6em !important;
}
/* silero_tts preview */
.form:has(> #silero_preview_text) {
min-width: 75%
}
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export interface CrunkerConstructorOptions {
/**
* Sample rate for Crunker's internal audio context.
*
* @default 44100
*/
sampleRate: number;
}
export type CrunkerInputTypes = string | File | Blob;
/**
* An exported Crunker audio object.
*/
export interface ExportedCrunkerAudio {
blob: Blob;
url: string;
element: HTMLAudioElement;
}
/**
* Crunker is the simple way to merge, concatenate, play, export and download audio files using the Web Audio API.
*/
export default class Crunker {
private readonly _sampleRate;
private readonly _context;
/**
* Creates a new instance of Crunker with the provided options.
*
* If `sampleRate` is not defined, it will auto-select an appropriate sample rate
* for the device being used.
*/
constructor({ sampleRate }?: Partial<CrunkerConstructorOptions>);
/**
* Creates Crunker's internal AudioContext.
*
* @internal
*/
private _createContext;
/**
*
* The internal AudioContext used by Crunker.
*/
get context(): AudioContext;
/**
* Asynchronously fetches multiple audio files and returns an array of AudioBuffers.
*/
fetchAudio(...filepaths: CrunkerInputTypes[]): Promise<AudioBuffer[]>;
/**
* Merges (layers) multiple AudioBuffers into a single AudioBuffer.
*
* **Visual representation:**
*
* ![](https://user-images.githubusercontent.com/12958674/88806278-968f0680-d186-11ea-9cb5-8ef2606ffcc7.png)
*/
mergeAudio(buffers: AudioBuffer[]): AudioBuffer;
/**
* Concatenates multiple AudioBuffers into a single AudioBuffer.
*
* **Visual representation:**
*
* ![](https://user-images.githubusercontent.com/12958674/88806297-9d1d7e00-d186-11ea-8cd2-c64cb0324845.png)
*/
concatAudio(buffers: AudioBuffer[]): AudioBuffer;
/**
* Pads a specified AudioBuffer with silence from a specified start time,
* for a specified length of time.
*
* Accepts float values as well as whole integers.
*
* @param buffer AudioBuffer to pad
* @param padStart Time to start padding (in seconds)
* @param seconds Duration to pad for (in seconds)
*/
padAudio(buffer: AudioBuffer, padStart?: number, seconds?: number): AudioBuffer;
/**
* Slices an AudioBuffer from the specified start time to the end time, with optional fade in and out.
*
* @param buffer AudioBuffer to slice
* @param start Start time (in seconds)
* @param end End time (in seconds)
* @param fadeIn Fade in duration (in seconds, default is 0)
* @param fadeOut Fade out duration (in seconds, default is 0)
*/
sliceAudio(buffer: AudioBuffer, start: number, end: number, fadeIn?: number, fadeOut?: number): AudioBuffer;
/**
* Plays the provided AudioBuffer in an AudioBufferSourceNode.
*/
play(buffer: AudioBuffer): AudioBufferSourceNode;
/**
* Exports the specified AudioBuffer to a Blob, Object URI and HTMLAudioElement.
*
* Note that changing the MIME type does not change the actual file format. The
* file format will **always** be a WAVE file due to how audio is stored in the
* browser.
*
* @param buffer Buffer to export
* @param type MIME type (default: `audio/wav`)
*/
export(buffer: AudioBuffer, type?: string): ExportedCrunkerAudio;
/**
* Downloads the provided Blob.
*
* @param blob Blob to download
* @param filename An optional file name to use for the download (default: `crunker`)
*/
download(blob: Blob, filename?: string): HTMLAnchorElement;
/**
* Executes a callback if the browser does not support the Web Audio API.
*
* Returns the result of the callback, or `undefined` if the Web Audio API is supported.
*
* @param callback callback to run if the browser does not support the Web Audio API
*/
notSupported<T>(callback: () => T): T | undefined;
/**
* Closes Crunker's internal AudioContext.
*/
close(): this;
/**
* Returns the largest duration of the longest AudioBuffer.
*
* @internal
*/
private _maxDuration;
/**
* Returns the largest number of channels in an array of AudioBuffers.
*
* @internal
*/
private _maxNumberOfChannels;
/**
* Returns the sum of the lengths of an array of AudioBuffers.
*
* @internal
*/
private _totalLength;
/**
* Returns whether the browser supports the Web Audio API.
*
* @internal
*/
private _isSupported;
/**
* Writes the WAV headers for the specified Float32Array.
*
* Returns a DataView containing the WAV headers and file content.
*
* @internal
*/
private _writeHeaders;
/**
* Converts a Float32Array to 16-bit PCM.
*
* @internal
*/
private _floatTo16BitPCM;
/**
* Writes a string to a DataView at the specified offset.
*
* @internal
*/
private _writeString;
/**
* Converts an AudioBuffer to a Float32Array.
*
* @internal
*/
private _interleave;
/**
* Creates an HTMLAudioElement whose source is the specified Blob.
*
* @internal
*/
private _renderAudioElement;
/**
* Creates an Object URL for the specified Blob.
*
* @internal
*/
private _renderURL;
}
@@ -0,0 +1,2 @@
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We'll try and continue anyway. (file: \"").concat(t,'")')),e.arrayBuffer()})),await e._context.decodeAudioData(n)})))}},{key:"mergeAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._sampleRate*this._maxDuration(e),this._sampleRate);return e.forEach((function(e){for(var n=0;n<e.numberOfChannels;n++){for(var r=t.getChannelData(n),a=e.getChannelData(n),o=e.getChannelData(n).length-1;o>=0;o--)r[o]+=a[o];t.getChannelData(n).set(r)}})),t}},{key:"concatAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._totalLength(e),this._sampleRate),n=0;return e.forEach((function(e){for(var r=0;r<e.numberOfChannels;r++)t.getChannelData(r).set(e.getChannelData(r),n);n+=e.length})),t}},{key:"padAudio",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;if(0===n)return e;if(t<0)throw new Error('Crunker: Parameter "padStart" in padAudio must be positive');if(n<0)throw new Error('Crunker: Parameter "seconds" in padAudio must be positive');for(var r=this._context.createBuffer(e.numberOfChannels,Math.ceil(e.length+n*e.sampleRate),e.sampleRate),a=0;a<e.numberOfChannels;a++){var o=e.getChannelData(a);r.getChannelData(a).set(o.subarray(0,Math.ceil(t*e.sampleRate)+1),0),r.getChannelData(a).set(o.subarray(Math.ceil(t*e.sampleRate)+2,r.length+1),Math.ceil((t+n)*e.sampleRate))}return r}},{key:"sliceAudio",value:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;if(t>=n)throw new Error('Crunker: "start" time should be less than "end" time in sliceAudio method');for(var o=Math.round((n-t)*this._sampleRate),i=Math.round(t*this._sampleRate),u=this._context.createBuffer(e.numberOfChannels,o,this._sampleRate),l=0;l<e.numberOfChannels;l++)for(var s=e.getChannelData(l),c=u.getChannelData(l),f=0;f<o;f++)c[f]=s[i+f],f<r*this._sampleRate&&(c[f]*=f/(r*this._sampleRate)),f>o-a*this._sampleRate&&(c[f]*=(o-f)/(a*this._sampleRate));return u}},{key:"play",value:function(e){var t=this._context.createBufferSource();return t.buffer=e,t.connect(this._context.destination),t.start(),Line truncated
//# sourceMappingURL=crunker.esm.js.map
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/*! howler.js v2.2.4 | (c) 2013-2020, James Simpson of GoldFire Studios | MIT License | howlerjs.com */
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/*
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*/
html,
body {
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margin: 0;
padding: 0;
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ul {
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{"version":3,"file":"commands.js","mappings":"YACA,IAAIA,EAAsB,CAAC,ECD3BA,EAAoBC,EAAI,WACvB,GAA0B,iBAAfC,WAAyB,OAAOA,WAC3C,IACC,OAAOC,MAAQ,IAAIC,SAAS,cAAb,EAChB,CAAE,MAAOC,GACR,GAAsB,iBAAXC,OAAqB,OAAOA,MACxC,CACA,CAPuB,GCOxBC,OAAOC,SAAQ,WACb,KAuBuB,oBAATC,KACVA,KACkB,oBAAXH,OACPA,YACkB,IAAXI,EAAAA,EACPA,EAAAA,OACAC,GAMJC,OA5BF,SAAgBC,GACd,IAAMC,EAAU,CACdC,KAAMR,OAAOS,aAAaC,4BAA4BC,qBACtDJ,QAAS,oBACTK,KAAM,aACNC,YAAY,GAIdb,OAAOc,QAAQC,QAAQC,KAAKC,qBAAqBC,aAAa,SAAUX,GAGxED,EAAMa,WACR,C","sources":["webpack://office-addin-taskpane-js/webpack/bootstrap","webpack://office-addin-taskpane-js/webpack/runtime/global","webpack://office-addin-taskpane-js/./src/commands/commands.js"],"sourcesContent":["// The require scope\nvar __webpack_require__ = {};\n\n","__webpack_require__.g = (function() {\n\tif (typeof globalThis === 'object') return globalThis;\n\ttry {\n\t\treturn this || new Function('return this')();\n\t} catch (e) {\n\t\tif (typeof window === 'object') return window;\n\t}\n})();","/*\n * Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT license.\n * See LICENSE in the project root for license information.\n */\n\n/* global global, Office, self, window */\n\nOffice.onReady(() => {\n // If needed, Office.js is ready to be called\n});\n\n/**\n * Shows a notification when the add-in command is executed.\n * @param event {Office.AddinCommands.Event}\n */\nfunction action(event) {\n const message = {\n type: Office.MailboxEnums.ItemNotificationMessageType.InformationalMessage,\n message: \"Performed action.\",\n icon: \"Icon.80x80\",\n persistent: true,\n };\n\n // Show a notification message\n Office.context.mailbox.item.notificationMessages.replaceAsync(\"action\", message);\n\n // Be sure to indicate when the add-in command function is complete\n event.completed();\n}\n\nfunction getGlobal() {\n return typeof self !== \"undefined\"\n ? self\n : typeof window !== \"undefined\"\n ? window\n : typeof global !== \"undefined\"\n ? global\n : undefined;\n}\n\nconst g = getGlobal();\n\n// The add-in command functions need to be available in global scope\ng.action = action;\n"],"names":["__webpack_require__","g","globalThis","this","Function","e","window","Office","onReady","self","global","undefined","action","event","message","type","MailboxEnums","ItemNotificationMessageType","InformationalMessage","icon","persistent","context","mailbox","item","notificationMessages","replaceAsync","completed"],"sourceRoot":""}
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<OfficeApp xmlns="http://schemas.microsoft.com/office/appforoffice/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:bt="http://schemas.microsoft.com/office/officeappbasictypes/1.0" xmlns:ov="http://schemas.microsoft.com/office/taskpaneappversionoverrides" xsi:type="TaskPaneApp">
<Id>68b6ad53-4f72-42a8-a971-a9643c2f409a</Id>
<Version>1.0.0.0</Version>
<ProviderName>AllTalk</ProviderName>
<DefaultLocale>en-US</DefaultLocale>
<DisplayName DefaultValue="AllTalk TTS"/>
<Description DefaultValue="Enhance your document creation with AllTalk TTS's advanced text-to-voice functionality. Requires connection to AllTalk server."/>
<IconUrl DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-32.png"/>
<HighResolutionIconUrl DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-64.png"/>
<SupportUrl DefaultValue="https://github.com/erew123/alltalk_tts/issues"/>
<AppDomains>
<AppDomain>https://www.contoso.com</AppDomain>
</AppDomains>
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<Host Name="Document"/>
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<DefaultSettings>
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<Permissions>ReadWriteDocument</Permissions>
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<Hosts>
<Host xsi:type="Document">
<DesktopFormFactor>
<!-- You can add GetStarted information here if needed -->
<FunctionFile resid="Commands.Url"/>
<ExtensionPoint xsi:type="PrimaryCommandSurface">
<OfficeTab id="TabHome">
<Group id="AllTalkGroup">
<Label resid="AllTalkGroup.Label"/>
<Icon>
<bt:Image size="16" resid="Icon.16x16"/>
<bt:Image size="32" resid="Icon.32x32"/>
<bt:Image size="80" resid="Icon.80x80"/>
</Icon>
<Control xsi:type="Button" id="AllTalkTaskpaneButton">
<Label resid="AllTalkTaskpaneButton.Label"/>
<Supertip>
<Title resid="AllTalkTaskpaneButton.Label"/>
<Description resid="AllTalkTaskpaneButton.Tooltip"/>
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<bt:Image size="32" resid="Icon.32x32"/>
<bt:Image size="80" resid="Icon.80x80"/>
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<Action xsi:type="ShowTaskpane">
<TaskpaneId>ButtonId1</TaskpaneId>
<SourceLocation resid="Taskpane.Url"/>
</Action>
</Control>
</Group>
</OfficeTab>
</ExtensionPoint>
</DesktopFormFactor>
</Host>
</Hosts>
<Resources>
<bt:Images>
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<bt:Image id="Icon.32x32" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-32.png"/>
<bt:Image id="Icon.80x80" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-80.png"/>
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<bt:Urls>
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<bt:Url id="Commands.Url" DefaultValue="http://127.0.0.1:7851/api/word_addin/commands.html"/>
<bt:Url id="Taskpane.Url" DefaultValue="http://127.0.0.1:7851/api/word_addin/taskpane.html"/>
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<bt:ShortStrings>
<bt:String id="AllTalkGroup.Label" DefaultValue="AllTalk Controls"/>
<bt:String id="AllTalkTaskpaneButton.Label" DefaultValue="Open AllTalk"/>
</bt:ShortStrings>
<bt:LongStrings>
<bt:String id="AllTalkTaskpaneButton.Tooltip" DefaultValue="Open the AllTalk task pane to start using the add-in."/>
</bt:LongStrings>
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</OfficeApp>
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<!doctype html>
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<meta name="viewport" content="width=device-width,initial-scale=1">
<title>AllTalk TTS Add-in</title>
<script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
<link rel="stylesheet"
href="https://static2.sharepointonline.com/files/fabric/office-ui-fabric-core/11.0.0/css/fabric.min.css" />
<link href="1fda685b81e1123773f6.css" rel="stylesheet" />
<style>
label {
font-weight: 700;
display: block;
margin-top: 10px
}
select {
width: 100%;
padding: 5px
}
.nice-button {
background-color: #0078d4;
color: #fff;
padding: 10px 20px;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 16px;
transition: background-color .3s ease
}
.nice-button:hover {
background-color: #005a9e
}
#audioSource {
width: 300px;
height: 50px
}
.input-container {
display: flex;
flex-direction: column;
margin-right: 10px
}
.input-group {
display: flex;
justify-content: start;
align-items: flex-end
}
.input-group>.input-container {
flex: 1
}
input {
width: 100%
}
</style>
<script defer="defer" src="polyfill.js"></script>
<script defer="defer" src="taskpane.js"></script>
</head>
<body class="ms-font-m ms-welcome ms-Fabric">
<header class="ms-welcome__header ms-bgColor-neutralLighter"><img width="90" height="90"
src="http://127.0.0.1:7851/api/word_addin/assets/logo-filled.png" alt="AllTalk TTS" title="AllTalk TTS" />
<h1 class="ms-font-su">AllTalk TTS</h1>
</header>
<main class="ms-welcome__main"><textarea id="text" rows="4" placeholder="Enter text here"
style="display:none"></textarea> <label for="voice">Voice:</label> <select id="voice" name="voice"
required></select> <label for="language">Language:</label> <select id="language" name="language"
value="English" required>
<option value="en" selected="selected">English</option>
<option value="ar">Arabic</option>
<option value="zh-cn">Chinese</option>
<option value="cs">Czech</option>
<option value="nl">Dutch</option>
<option value="fr">French</option>
<option value="de">German</option>
<option value="hu">Hungarian</option>
<option value="it">Italian</option>
<option value="ja">Japanese</option>
<option value="ko">Korean</option>
<option value="pl">Polish</option>
<option value="pt">Portuguese</option>
<option value="ru">Russian</option>
<option value="es">Spanish</option>
<option value="tr">Turkish</option>
</select><br><audio id="audioSource" controls autoplay></audio><br><button id="sendTextButton"
class="nice-button">Send Text to TTS</button><br><br><br><br>
<div class="input-group">
<div class="input-container"><label for="serverIP">Server IP:</label> <input id="serverIP" name="serverIP"
value="127.0.0.1" required></div>
<div class="input-container"><label for="portNumber">Port Number:</label> <input type="number"
id="portNumber" name="portNumber" value="7851" required></div>
</div>
</main>
<script src="1995fcd6d39cade7d871.js"></script>
</body>
</html>
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