mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-28 15:18:33 +01:00
212 lines
11 KiB
Markdown
212 lines
11 KiB
Markdown
This web UI supports extensions. They are simply files under
|
|
|
|
```
|
|
extensions/your_extension_name/script.py
|
|
```
|
|
|
|
which can be invoked with the
|
|
|
|
```
|
|
--extension your_extension_name
|
|
```
|
|
|
|
command-line flag.
|
|
|
|
## [text-generation-webui-extensions](https://github.com/oobabooga/text-generation-webui-extensions)
|
|
|
|
The link above contains a directory of user extensions for text-generation-webui.
|
|
|
|
If you create an extension, you are welcome to host it in a GitHub repository and submit it to the list above.
|
|
|
|
## Built-in extensions
|
|
|
|
Most of these have been created by the extremely talented contributors that you can find here: [contributors](https://github.com/oobabooga/text-generation-webui/graphs/contributors?from=2022-12-18&to=&type=a).
|
|
|
|
|Extension|Description|
|
|
|---------|-----------|
|
|
|[api](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/api)| Creates an API with two endpoints, one for streaming at `/api/v1/stream` port 5005 and another for blocking at `/api/v1/generate` por 5000. This is the main API for this web UI. |
|
|
|[google_translate](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/google_translate)| Automatically translates inputs and outputs using Google Translate.|
|
|
|[character_bias](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/character_bias)| Just a very simple example that biases the bot's responses in chat mode.|
|
|
|[gallery](https://github.com/oobabooga/text-generation-webui/blob/main/extensions/gallery/)| Creates a gallery with the chat characters and their pictures. |
|
|
|[silero_tts](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/silero_tts)| Text-to-speech extension using [Silero](https://github.com/snakers4/silero-models). When used in chat mode, it replaces the responses with an audio widget. |
|
|
|[elevenlabs_tts](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/elevenlabs_tts)| Text-to-speech extension using the [ElevenLabs](https://beta.elevenlabs.io/) API. You need an API key to use it. |
|
|
|[send_pictures](https://github.com/oobabooga/text-generation-webui/blob/main/extensions/send_pictures/)| Creates an image upload field that can be used to send images to the bot in chat mode. Captions are automatically generated using BLIP. |
|
|
|[whisper_stt](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/whisper_stt)| Allows you to enter your inputs in chat mode using your microphone. |
|
|
|[sd_api_pictures](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/sd_api_pictures)| Allows you to request pictures from the bot in chat mode, which will be generated using the AUTOMATIC1111 Stable Diffusion API. See examples [here](https://github.com/oobabooga/text-generation-webui/pull/309). |
|
|
|[multimodal](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal) | Adds multimodality support (text+images). For detailed description see [README.md](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal/README.md) in the extension directory. |
|
|
|[openai](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/openai)| Creates an API that mimics the OpenAI API and can be used as a drop-in replacement. |
|
|
|[superbooga](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/superbooga)| An extension that uses ChromaDB to create an arbitrarily large pseudocontext, taking as input text files, URLs, or pasted text. Based on https://github.com/kaiokendev/superbig. |
|
|
|
|
## How to write an extension
|
|
|
|
`script.py` has access to all variables in the UI through the `modules.shared` module, and it may define the following functions:
|
|
|
|
| Function | Description |
|
|
|-------------|-------------|
|
|
| `def ui()` | Creates custom gradio elements when the UI is launched. |
|
|
| `def input_modifier(string)` | Modifies the input string before it enters the model. In chat mode, it is applied to the user message. Otherwise, it is applied to the entire prompt. |
|
|
| `def output_modifier(string)` | Modifies the output string before it is presented in the UI. In chat mode, it is applied to the bot's reply. Otherwise, it is applied to the entire output. |
|
|
| `def state_modifier(state)` | Modifies the dictionary containing the input parameters before it is used by the text generation functions. |
|
|
| `def bot_prefix_modifier(string)` | Applied in chat mode to the prefix for the bot's reply (more on that below). |
|
|
| `def custom_generate_reply(...)` | Overrides the main text generation function. |
|
|
| `def custom_generate_chat_prompt(...)` | Overrides the prompt generator in chat mode. |
|
|
| `def tokenizer_modifier(state, prompt, input_ids, input_embeds)` | Modifies the `input_ids`/`input_embeds` fed to the model. Should return `prompt`, `input_ids`, `input_embeds`. See `multimodal` extension for an example |
|
|
| `def custom_tokenized_length(prompt)` | Used in conjunction with `tokenizer_modifier`, returns the length in tokens of `prompt`. See `multimodal` extension for an example |
|
|
|
|
Additionally, the script may define two special global variables:
|
|
|
|
#### `params` dictionary
|
|
|
|
```python
|
|
params = {
|
|
"language string": "ja",
|
|
}
|
|
```
|
|
|
|
This dicionary can be used to make the extension parameters customizable by adding entries to a `settings.json` file like this:
|
|
|
|
```python
|
|
"google_translate-language string": "fr",
|
|
```
|
|
|
|
#### `input_hijack` dictionary
|
|
|
|
```python
|
|
input_hijack = {
|
|
'state': False,
|
|
'value': ["", ""]
|
|
}
|
|
```
|
|
This is only relevant in chat mode. If your extension sets `input_hijack['state']` to `True` at any moment, the next call to `modules.chat.chatbot_wrapper` will use the values inside `input_hijack['value']` as the user input for text generation. See the `send_pictures` extension above for an example.
|
|
|
|
Additionally, your extension can set the value to be a callback, in the form of `def cb(text: str, visible_text: str) -> [str, str]`. See the `multimodal` extension above for an example.
|
|
|
|
## The `bot_prefix_modifier`
|
|
|
|
In chat mode, this function modifies the prefix for a new bot message. For instance, if your bot is named `Marie Antoinette`, the default prefix for a new message will be
|
|
|
|
```
|
|
Marie Antoinette:
|
|
```
|
|
|
|
Using `bot_prefix_modifier`, you can change it to:
|
|
|
|
```
|
|
Marie Antoinette: *I am very enthusiastic*
|
|
```
|
|
|
|
Marie Antoinette will become very enthusiastic in all her messages.
|
|
|
|
## Using multiple extensions at the same time
|
|
|
|
In order to use your extension, you must start the web UI with the `--extensions` flag followed by the name of your extension (the folder under `text-generation-webui/extension` where `script.py` resides).
|
|
|
|
You can activate more than one extension at a time by providing their names separated by spaces. The input, output and bot prefix modifiers will be applied in the specified order.
|
|
|
|
|
|
```
|
|
python server.py --extensions enthusiasm translate # First apply enthusiasm, then translate
|
|
python server.py --extensions translate enthusiasm # First apply translate, then enthusiasm
|
|
```
|
|
|
|
Do note, that for:
|
|
- `custom_generate_chat_prompt`
|
|
- `custom_generate_reply`
|
|
- `tokenizer_modifier`
|
|
- `custom_tokenized_length`
|
|
|
|
only the first declaration encountered will be used and the rest will be ignored.
|
|
|
|
## `custom_generate_reply` example
|
|
|
|
Once defined in a `script.py`, this function is executed in place of the main generation functions. You can use it to connect the web UI to an external API, or to load a custom model that is not supported yet.
|
|
|
|
Note that in chat mode, this function must only return the new text, whereas in other modes it must return the original prompt + the new text.
|
|
|
|
```python
|
|
import datetime
|
|
|
|
def custom_generate_reply(question, original_question, seed, state, eos_token, stopping_strings):
|
|
cumulative = ''
|
|
for i in range(10):
|
|
cumulative += f"Counting: {i}...\n"
|
|
yield cumulative
|
|
|
|
cumulative += f"Done! {str(datetime.datetime.now())}"
|
|
yield cumulative
|
|
```
|
|
|
|
## `custom_generate_chat_prompt` example
|
|
|
|
Below is an extension that just reproduces the default prompt generator in `modules/chat.py`. You can modify it freely to come up with your own prompts in chat mode.
|
|
|
|
```python
|
|
def custom_generate_chat_prompt(user_input, state, **kwargs):
|
|
impersonate = kwargs['impersonate'] if 'impersonate' in kwargs else False
|
|
_continue = kwargs['_continue'] if '_continue' in kwargs else False
|
|
also_return_rows = kwargs['also_return_rows'] if 'also_return_rows' in kwargs else False
|
|
is_instruct = state['mode'] == 'instruct'
|
|
rows = [state['context'] if is_instruct else f"{state['context'].strip()}\n"]
|
|
min_rows = 3
|
|
|
|
# Finding the maximum prompt size
|
|
chat_prompt_size = state['chat_prompt_size']
|
|
if shared.soft_prompt:
|
|
chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
|
|
|
|
max_length = min(get_max_prompt_length(state), chat_prompt_size)
|
|
|
|
# Building the turn templates
|
|
if 'turn_template' not in state or state['turn_template'] == '':
|
|
if is_instruct:
|
|
template = '<|user|>\n<|user-message|>\n<|bot|>\n<|bot-message|>\n'
|
|
else:
|
|
template = '<|user|>: <|user-message|>\n<|bot|>: <|bot-message|>\n'
|
|
else:
|
|
template = state['turn_template'].replace(r'\n', '\n')
|
|
|
|
replacements = {
|
|
'<|user|>': state['name1'].strip(),
|
|
'<|bot|>': state['name2'].strip(),
|
|
}
|
|
|
|
user_turn = replace_all(template.split('<|bot|>')[0], replacements)
|
|
bot_turn = replace_all('<|bot|>' + template.split('<|bot|>')[1], replacements)
|
|
user_turn_stripped = replace_all(user_turn.split('<|user-message|>')[0], replacements)
|
|
bot_turn_stripped = replace_all(bot_turn.split('<|bot-message|>')[0], replacements)
|
|
|
|
# Building the prompt
|
|
i = len(shared.history['internal']) - 1
|
|
while i >= 0 and get_encoded_length(''.join(rows)) < max_length:
|
|
if _continue and i == len(shared.history['internal']) - 1:
|
|
rows.insert(1, bot_turn_stripped + shared.history['internal'][i][1].strip())
|
|
else:
|
|
rows.insert(1, bot_turn.replace('<|bot-message|>', shared.history['internal'][i][1].strip()))
|
|
|
|
string = shared.history['internal'][i][0]
|
|
if string not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
|
|
rows.insert(1, replace_all(user_turn, {'<|user-message|>': string.strip(), '<|round|>': str(i)}))
|
|
|
|
i -= 1
|
|
|
|
if impersonate:
|
|
min_rows = 2
|
|
rows.append(user_turn_stripped.rstrip(' '))
|
|
elif not _continue:
|
|
# Adding the user message
|
|
if len(user_input) > 0:
|
|
rows.append(replace_all(user_turn, {'<|user-message|>': user_input.strip(), '<|round|>': str(len(shared.history["internal"]))}))
|
|
|
|
# Adding the Character prefix
|
|
rows.append(apply_extensions("bot_prefix", bot_turn_stripped.rstrip(' ')))
|
|
|
|
while len(rows) > min_rows and get_encoded_length(''.join(rows)) >= max_length:
|
|
rows.pop(1)
|
|
|
|
prompt = ''.join(rows)
|
|
if also_return_rows:
|
|
return prompt, rows
|
|
else:
|
|
return prompt
|
|
```
|