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@@ -0,0 +1,9 @@
|
||||
{
|
||||
"files.associations": {
|
||||
"*.html": "jinja-html"
|
||||
},
|
||||
"emmet.includeLanguages": {
|
||||
"jinja-html": "html",
|
||||
"jinja2": "html"
|
||||
},
|
||||
}
|
||||
@@ -1,17 +1,18 @@
|
||||
# AllTalk TTS
|
||||
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.
|
||||
- **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)
|
||||
- **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)
|
||||
- **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)
|
||||
- **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.
|
||||
- **Can be run as a standalone app** Not just inside of text-generation-webui.
|
||||
- **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.
|
||||
|
||||
## 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)
|
||||
- 🔵🟢🟡 [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)
|
||||
- ⬜ [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)
|
||||
- 🔴 [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.
|
||||
|
||||
#### 🟩 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
|
||||
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>
|
||||
`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>
|
||||
`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_
|
||||
|:---:|:---:|
|
||||
| |  |
|
||||
| |  |
|
||||
| |
|
||||
|
||||
## 🟨 Help with problems
|
||||
#### 🔄 **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
|
||||
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.
|
||||
- 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).
|
||||
@@ -502,27 +508,71 @@ def get_shm_size():
|
||||
## 🟦 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.
|
||||
|
||||
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
|
||||
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
|
||||
1) In your chosen disk location git clone this repository:<br><br>
|
||||
`git clone https://github.com/erew123/alltalk_tts`
|
||||
#### 🔹 A very quick understanding of Python Environments.
|
||||
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>
|
||||
`cd alltalk_tts`
|
||||
**Note:** A standard VENV can cause module path issues, hence Conda is the correct method to create a Python environment for AllTalk.
|
||||
|
||||
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>
|
||||
**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.<br><br>The link to open the TTS generator can be found on the built-in Settings and Documentation page.
|
||||
|
||||
#### ⬜ 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.
|
||||
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. 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”.
|
||||
#### ⬜ 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.
|
||||
#### ⬜ 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
|
||||
### 🟠Overview
|
||||
@@ -691,14 +741,14 @@ The API returns a JSON object with the following properties:
|
||||
|
||||
- **status** Indicates whether the generation was successful (generate-success) or failed (generate-failure).<br>
|
||||
- **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:
|
||||
|
||||
`{"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
|
||||
- Voice output within the command prompt/terminal (TBD).
|
||||
- Correct a few spelling mistakes in the documentation.
|
||||
- SillyTavern Support
|
||||
- Possibly add some additional TTS engines (TBD).
|
||||
- Have a break!
|
||||
@@ -509,8 +509,53 @@ def voice_preview(string):
|
||||
return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}"
|
||||
|
||||
|
||||
def replace_asterisk(match):
|
||||
return match.group(0) + '"<*'
|
||||
def process_text(text):
|
||||
# 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 ####
|
||||
@@ -520,6 +565,7 @@ def output_modifier(string, state):
|
||||
if not params["activate"]:
|
||||
return string
|
||||
original_string = string
|
||||
#print("ORIGINAL STRING IS:", original_string)
|
||||
cleaned_string = before_audio_generation(string, params)
|
||||
if cleaned_string is None:
|
||||
return
|
||||
@@ -530,82 +576,55 @@ def output_modifier(string, state):
|
||||
if process_lock.acquire(blocking=False):
|
||||
try:
|
||||
if params["narrator_enabled"]:
|
||||
# Do Some basic stripping and remove any double CR's
|
||||
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('"\n\n*', '"<*'))
|
||||
processed_string = (processed_string .replace('"\n', '< '))
|
||||
processed_string = (processed_string .replace("'", "'"))
|
||||
processed_string = (processed_string .replace("\n", " "))
|
||||
processed_string = (processed_string .replace('"', '"<'))
|
||||
processed_string = (processed_string .replace('"', '"<'))
|
||||
#pattern = re.compile(r'(?<=[a-zA-Z!])"<(?=[a-zA-Z])')
|
||||
pattern = re.compile(r'(?<=[a-zA-Z!?\.])"<(?=[a-zA-Z])')
|
||||
processed_string = pattern.sub('" ', processed_string)
|
||||
pattern = re.compile(r'(?<=[a-zA-Z])\*(?=[a-zA-Z])')
|
||||
processed_string = pattern.sub('*"', processed_string)
|
||||
processed_string = processed_string.replace('"<. *', '"< *"')
|
||||
processed_string = processed_string.replace('< *"', '< *')
|
||||
processed_string = processed_string.replace('. *', '< *')
|
||||
processed_string = processed_string.replace('! *', '"< *')
|
||||
processed_string = processed_string.replace('? *', '< *')
|
||||
processed_string = processed_string.replace('* ', '* "<')
|
||||
processed_string = processed_string.replace('*. ', '* "<')
|
||||
processed_string = re.sub(r'\*(?=[a-zA-Z])', replace_asterisk, processed_string)
|
||||
# Set up a tracking of the individual wav files.
|
||||
processed_parts = process_text(original_string)
|
||||
|
||||
audio_files_all_paragraphs = []
|
||||
# Split the line using " 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 *
|
||||
parts = re.split(r'"|\.\*', processed_string)
|
||||
audio_files_paragraph = []
|
||||
for i, part in enumerate(parts):
|
||||
for part_type, part in processed_parts:
|
||||
# Skip parts that are too short
|
||||
if len(part.strip()) <= 3:
|
||||
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
|
||||
if '<' in part and '< *' not in part and '<*' not in part and '< *' not in part and '< ' not in part and '< ' not in part:
|
||||
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('*', ''))
|
||||
|
||||
# Determine the voice to use based on the part type
|
||||
if part_type == 'narrator':
|
||||
voice_to_use = params["narrator_voice"]
|
||||
#If the other two dont capture it, aka, the AI gave no * or " on the line, use non_quoted_text_is aka user interface, user can choose Char or Narrator
|
||||
elif non_quoted_text_is:
|
||||
cleaned_part = html.unescape(part.replace('< ', '').replace('< ', '').replace('< ', ''))
|
||||
print(f"[{params['branding']}TTSGen] \033[92mNarrator\033[0m") # Green
|
||||
elif part_type == 'character':
|
||||
voice_to_use = params["voice"]
|
||||
print(f"[{params['branding']}TTSGen] \033[36mCharacter\033[0m") # Yellow
|
||||
else:
|
||||
cleaned_part = html.unescape(part.replace('< ', '').replace('< ', '').replace('< ', ''))
|
||||
voice_to_use = params["narrator_voice"]
|
||||
# Generate that TTS and output to a file
|
||||
# Handle ambiguous parts based on user preference
|
||||
voice_to_use = params["voice"] if non_quoted_text_is else params["narrator_voice"]
|
||||
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)
|
||||
generate_response = send_generate_request(
|
||||
cleaned_part, voice_to_use, language_code, output_filename
|
||||
)
|
||||
audio_path = generate_response.get("data", {}).get("audio_path")
|
||||
audio_files_paragraph.append(audio_path)
|
||||
# Accumulate audio files within the paragraph
|
||||
audio_files_all_paragraphs.extend(audio_files_paragraph)
|
||||
audio_files_all_paragraphs.append(audio_path)
|
||||
|
||||
# Combine audio files across paragraphs
|
||||
final_output_file = combine(
|
||||
audio_files_all_paragraphs, params["output_folder_wav"], state
|
||||
)
|
||||
else:
|
||||
processed_string = (
|
||||
original_string
|
||||
.replace("***", "")
|
||||
.replace("**", "")
|
||||
.replace("*", "")
|
||||
.replace("\n\n", "\n")
|
||||
.replace("'", "'")
|
||||
)
|
||||
cleaned_part = html.unescape(processed_string)
|
||||
# Decode HTML entities first
|
||||
cleaned_part = html.unescape(original_string)
|
||||
# Replace multiple instances of certain punctuation marks with a single instance
|
||||
cleaned_part = re.sub(r'([!?.])\1+', r'\1', cleaned_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)
|
||||
# Process the part and give it a non-character name if being used vai API or standalone.
|
||||
if "character_menu" in state:
|
||||
output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav')
|
||||
@@ -713,10 +732,6 @@ def input_modifier(string, state):
|
||||
shared.processing_message = "*Is recording a voice message...*"
|
||||
return string
|
||||
|
||||
def custom_css():
|
||||
path_to_css = Path(f"{this_dir}/style.css")
|
||||
return open(path_to_css, "r").read()
|
||||
|
||||
|
||||
def ui():
|
||||
with gr.Accordion(params["branding"] + " TTS (XTTSv2)"):
|
||||
|
||||
@@ -1,8 +0,0 @@
|
||||
.SDAP .hires_opts input[type="number"] {
|
||||
width: 6em !important;
|
||||
}
|
||||
|
||||
/* silero_tts preview */
|
||||
.form:has(> #silero_preview_text) {
|
||||
min-width: 75%
|
||||
}
|
||||
|
After Width: | Height: | Size: 1.1 KiB |
@@ -0,0 +1,179 @@
|
||||
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:**
|
||||
*
|
||||
* 
|
||||
*/
|
||||
mergeAudio(buffers: AudioBuffer[]): AudioBuffer;
|
||||
/**
|
||||
* Concatenates multiple AudioBuffers into a single AudioBuffer.
|
||||
*
|
||||
* **Visual representation:**
|
||||
*
|
||||
* 
|
||||
*/
|
||||
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 @@
|
||||
var e={d:(t,n)=>{for(var r in n)e.o(n,r)&&!e.o(t,r)&&Object.defineProperty(t,r,{enumerable:!0,get:n[r]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t)},t={};function n(e){return n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},n(e)}function r(e){return function(e){if(Array.isArray(e))return a(e)}(e)||function(e){if("undefined"!=typeof Symbol&&null!=e[Symbol.iterator]||null!=e["@@iterator"])return Array.from(e)}(e)||function(e,t){if(!e)return;if("string"==typeof e)return a(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);"Object"===n&&e.constructor&&(n=e.constructor.name);if("Map"===n||"Set"===n)return Array.from(e);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return a(e,t)}(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function a(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function o(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function i(e,t){for(var r=0;r<t.length;r++){var a=t[r];a.enumerable=a.enumerable||!1,a.configurable=!0,"value"in a&&(a.writable=!0),Object.defineProperty(e,(o=a.key,i=void 0,i=function(e,t){if("object"!==n(e)||null===e)return e;var r=e[Symbol.toPrimitive];if(void 0!==r){var a=r.call(e,t||"default");if("object"!==n(a))return a;throw new TypeError("@@toPrimitive must return a primitive value.")}return("string"===t?String:Number)(e)}(o,"string"),"symbol"===n(i)?i:String(i)),a)}var o,i}e.d(t,{Z:()=>u});var u=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=t.sampleRate;o(this,e),this._context=this._createContext(n),n||(n=this._context.sampleRate),this._sampleRate=n}var t,n,a;return t=e,n=[{key:"_createContext",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:44100;return window.AudioContext=window.AudioContext||window.webkitAudioContext||window.mozAudioContext,new AudioContext({sampleRate:e})}},{key:"context",get:function(){return this._context}},{key:"fetchAudio",value:async function(){for(var e=this,t=arguments.length,n=new Array(t),r=0;r<t;r++)n[r]=arguments[r];return await Promise.all(n.map((async function(t){var n;return n=t instanceof File||t instanceof Blob?await t.arrayBuffer():await fetch(t).then((function(e){return e.headers.has("Content-Type")&&!e.headers.get("Content-Type").includes("audio/")&&console.warn("Crunker: Attempted to fetch an audio file, but its MIME type is `".concat(e.headers.get("Content-Type").split(";")[0],"`. We'll try and continue anyway. 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truncated
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|
After Width: | Height: | Size: 1.1 KiB |
@@ -0,0 +1,4 @@
|
||||
/*! howler.js v2.2.4 | (c) 2013-2020, James Simpson of GoldFire Studios | MIT License | howlerjs.com */
|
||||
!function(){"use strict";var e=function(){this.init()};e.prototype={init:function(){var e=this||n;return e._counter=1e3,e._html5AudioPool=[],e.html5PoolSize=10,e._codecs={},e._howls=[],e._muted=!1,e._volume=1,e._canPlayEvent="canplaythrough",e._navigator="undefined"!=typeof window&&window.navigator?window.navigator:null,e.masterGain=null,e.noAudio=!1,e.usingWebAudio=!0,e.autoSuspend=!0,e.ctx=null,e.autoUnlock=!0,e._setup(),e},volume:function(e){var o=this||n;if(e=parseFloat(e),o.ctx||_(),void 0!==e&&e>=0&&e<=1){if(o._volume=e,o._muted)return o;o.usingWebAudio&&o.masterGain.gain.setValueAtTime(e,n.ctx.currentTime);for(var t=0;t<o._howls.length;t++)if(!o._howls[t]._webAudio)for(var r=o._howls[t]._getSoundIds(),a=0;a<r.length;a++){var u=o._howls[t]._soundById(r[a]);u&&u._node&&(u._node.volume=u._volume*e)}return o}return o._volume},mute:function(e){var o=this||n;o.ctx||_(),o._muted=e,o.usingWebAudio&&o.masterGain.gain.setValueAtTime(e?0:o._volume,n.ctx.currentTime);for(var t=0;t<o._howls.length;t++)if(!o._howls[t]._webAudio)for(var r=o._howls[t]._getSoundIds(),a=0;a<r.length;a++){var u=o._howls[t]._soundById(r[a]);u&&u._node&&(u._node.muted=!!e||u._muted)}return o},stop:function(){for(var e=this||n,o=0;o<e._howls.length;o++)e._howls[o].stop();return e},unload:function(){for(var e=this||n,o=e._howls.length-1;o>=0;o--)e._howls[o].unload();return e.usingWebAudio&&e.ctx&&void 0!==e.ctx.close&&(e.ctx.close(),e.ctx=null,_()),e},codecs:function(e){return(this||n)._codecs[e.replace(/^x-/,"")]},_setup:function(){var e=this||n;if(e.state=e.ctx?e.ctx.state||"suspended":"suspended",e._autoSuspend(),!e.usingWebAudio)if("undefined"!=typeof Audio)try{var o=new Audio;void 0===o.oncanplaythrough&&(e._canPlayEvent="canplay")}catch(n){e.noAudio=!0}else e.noAudio=!0;try{var o=new Audio;o.muted&&(e.noAudio=!0)}catch(e){}return e.noAudio||e._setupCodecs(),e},_setupCodecs:function(){var e=this||n,o=null;try{o="undefined"!=typeof Audio?new Audio:null}catch(n){return e}if(!o||"function"!=typeof o.canPlayType)return e;var t=o.canPlayType("audio/mpeg;").replace(/^no$/,""),r=e._navigator?e._navigator.userAgent:"",a=r.match(/OPR\/(\d+)/g),u=a&&parseInt(a[0].split("/")[1],10)<33,d=-1!==r.indexOf("Safari")&&-1===r.indexOf("Chrome"),i=r.match(/Version\/(.*?) /),_=d&&i&&parseInt(i[1],10)<15;return e._codecs={mp3:!(u||!t&&!o.canPlayType("audio/mp3;").replace(/^no$/,"")),mpeg:!!t,opus:!!o.canPlayType('audio/ogg; codecs="opus"').replace(/^no$/,""),ogg:!!o.canPlayType('audio/ogg; codecs="vorbis"').replace(/^no$/,""),oga:!!o.canPlayType('audio/ogg; codecs="vorbis"').replace(/^no$/,""),wav:!!(o.canPlayType('audio/wav; codecs="1"')||o.canPlayType("audio/wav")).replace(/^no$/,""),aac:!!o.canPlayType("audio/aac;").replace(/^no$/,""),caf:!!o.canPlayType("audio/x-caf;").replace(/^no$/,""),m4a:!!(o.canPlayType("audio/x-m4a;")||o.canPlayType("audio/m4a;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),m4b:!!(o.canPlayType("audio/x-m4b;")||o.canPlayType("audio/m4b;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),mp4:!!(o.canPlayType("audio/x-mp4;")||o.canPlayType("audio/mp4;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),weba:!(_||!o.canPlayType('audio/webm; codecs="vorbis"').replace(/^no$/,"")),webm:!(_||!o.canPlayType('audio/webm; codecs="vorbis"').replace(/^no$/,"")),dolby:!!o.canPlayType('audio/mp4; codecs="ec-3"').replace(/^no$/,""),flac:!!(o.canPlayType("audio/x-flac;")||o.canPlayType("audio/flac;")).replace(/^no$/,"")},e},_unlockAudio:function(){var e=this||n;if(!e._audioUnlocked&&e.ctx){e._audioUnlocked=!1,e.autoUnlock=!1,e._mobileUnloaded||44100===e.ctx.sampleRate||(e._mobileUnloaded=!0,e.unload()),e._scratchBuffer=e.ctx.createBuffer(1,1,22050);var o=function(n){for(;e._html5AudioPool.length<e.html5PoolSize;)try{var t=new Audio;t._unlocked=!0,e._releaseHtml5Audio(t)}catch(n){e.noAudio=!0;break}for(var r=0;r<e._howls.length;r++)if(!e._howls[r]._webAudio)for(var a=e._howls[r]._getSoundIds(),u=0;u<a.length;u++){var d=e._howls[r]._soundById(a[u]);d&&d._node&&!d._node._unlocked&&(d._node._unlocked=!0,d._node.load())}e._autoResume();var i=e.ctx.createBufferSource();i.buffer=e._scratchBuffer,i.connect(e.ctx.destination),void 0===i.start?i.noteOn(0):i.start(0),"function"==typeof e.ctx.resume&&e.ctx.resume(),i.onended=function(){i.disconnect(0),e._audioUnlocked=!0,document.removeEventListener("touchstart",o,!0),document.removeEventListener("touchend",o,!0),document.removeEventListener("click",o,!0),document.removeEventListener("keydown",o,!0);for(var n=0;n<e._howls.length;n++)e._howls[n]._emit("unlock")}};return document.addEventListener("touchstart",o,!0),document.addEventListener("touchend",o,!0),document.addEventListener("click",o,!0),document.addEventListener("keydown",o,!0),e}},_obtainHtml5Audio:function(){var e=this||n;if(e._html5AudioPool.length)return e._html5AudioPool.pop();var o=(new Audio).play();return o&&"undefined"!=typeof Promise&&(o instanceof Promise||"function"==typeof o.then)&&o.catch(function(){console.warn("HTML5 Audio pool eLine truncated
|
||||
/*! Spatial Plugin */
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<!doctype html><html><head><meta charset="UTF-8"/><meta http-equiv="X-UA-Compatible" content="IE=Edge"/><script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script><script defer="defer" src="polyfill.js"></script><script defer="defer" src="commands.js"></script></head><body></body></html>
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|
||||
<bt:Image id="Icon.16x16" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-16.png"/>
|
||||
<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"/>
|
||||
</bt:Images>
|
||||
<bt:Urls>
|
||||
<!-- Ensure that these URLs are pointing to valid locations -->
|
||||
<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"/>
|
||||
</bt:Urls>
|
||||
<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>
|
||||
</Resources>
|
||||
</VersionOverrides>
|
||||
</OfficeApp>
|
||||
@@ -0,0 +1,2 @@
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|
||||
@@ -0,0 +1,106 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
|
||||
<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"
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||||
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