Extensions are defined by files named `script.py` inside subfolders of `text-generation-webui/extensions`. They are loaded at startup if specified with the `--extensions` flag. For instance, `extensions/silero_tts/script.py` gets loaded with `python server.py --extensions silero_tts`. ## [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` port 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 a 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 may define the special functions and variables below. #### Predefined functions | Function | Description | |-------------|-------------| | `def ui()` | Creates custom gradio elements when the UI is launched. | | `def custom_css()` | Returns custom CSS as a string. It is applied whenever the web UI is loaded. | | `def custom_js()` | Same as above but for javascript. | | `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 UI input parameters before it is used by the text generation functions. | | `def history_modifier(history)` | Modifies the chat history before the text generation in chat mode begins. | | `def bot_prefix_modifier(string)` | Applied in chat mode to the prefix for the bot's reply. | | `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 the `multimodal` extension for an example. | | `def custom_tokenized_length(prompt)` | Used in conjunction with `tokenizer_modifier`, returns the length in tokens of `prompt`. See the `multimodal` extension for an example. | #### `params` dictionary In this dictionary, `display_name` is used to define the displayed name of the extension in the UI, and `is_tab` is used to define whether the extension should appear in a new tab. By default, extensions appear at the bottom of the "Text generation" tab. Example: ```python params = { "display_name": "Google Translate", "is_tab": True, } ``` Additionally, `params` may contain variables that you want to be customizable through a `settings.json` file. For instance, assuming the extension is in `extensions/google_translate`, the variable `language string` in ```python params = { "display_name": "Google Translate", "is_tab": True, "language string": "jp" } ``` can be customized by adding a key called `google_translate-language string` to `settings.json`: ```python "google_translate-language string": "fr", ``` That is, the syntax is `extension_name-variable_name`. #### `input_hijack` dictionary ```python input_hijack = { 'state': False, 'value': ["", ""] } ``` This is only used in chat mode. If your extension sets `input_hijack['state'] = 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. ## 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. ## 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. ## `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, 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 from modules import chat def custom_generate_chat_prompt(user_input, state, **kwargs): # Do something with kwargs['history'] or state return chat.generate_chat_prompt(user_input, state, **kwargs) ```