# TavernAI - Extras ## What is this A set of unofficial APIs for various TavernAI extensions. **You need to run the lastest development version of TavernAI. Grab it here: https://github.com/SillyLossy/TavernAI/tree/dev** All modules require at least 6 Gb of VRAM to run. With Stable Diffusion disabled, it will probably fit in 4 Gb. Alternatively, everything could also be run on the CPU. Try on Colab (runs KoboldAI backend and TavernAI Extras server alongside): Open In Colab ## How to run ### Locally * Install Python 3.10 * Run `pip install -r requirements.txt` * Run `python server.py` * Get the API URL. Defaults to `http://localhost:5100` if you run locally. * Start TavernAI with extensions support: set `enableExtensions` to `true` in [config.conf](https://github.com/SillyLossy/TavernAI/blob/dev/config.conf) * Navigate to TavernAI settings and put in an API URL and tap "Connect" to load the extensions ### Colab * Open colab link * Select desired "extra" options and start the cell * Wait for it to finish * Get an API URL link from colab output under the `### TavernAI Extensions LINK ###` title * Start TavernAI with extensions support: set `enableExtensions` to `true` in [config.conf](https://github.com/SillyLossy/TavernAI/blob/dev/config.conf) * Navigate to TavernAI settings and put in an API URL and tap "Connect" to load the extensions ### Settings menu ## UI Extensions | Name | Description | Required [Modules](#modules) | Screenshot | | ---------------- | ---------------------------------| ---------------------------- | ---------- | | Image Captioning | Send a cute picture to your bot! | `caption` | | ## Modules | Name | Description | | ----------- | --------------------------------- | | `caption` | Image captioning | | `summarize` | Text summarization | | `classify` | Text sentiment classification | | `keywords` | Text key phrases extraction | | `prompt` | SD prompt generation from text | | `sd` | Stable Diffusion image generation | ## API Endpoints ### Get UI extensions list `GET /api/extensions` #### **Input** None #### **Output** ``` {"extensions":[{"metadata":{"css":"file.css","display_name":"human-friendly name","js":"file.js","requires":["module_id"]},"name":"extension_name"}]} ``` ### Get UI extension JS script `GET /api/script/` #### **Input** Extension name in a route #### **Output** File content ### Get UI extension CSS stylesheet `GET /api/style/` #### **Input** Extension name in a route #### **Output** File content ### Get UI extension static asset `GET /api/asset//` #### **Input** Extension name and assert name in a route #### **Output** File content ### Image captioning `POST /api/caption` #### **Input** ``` { "image": "base64 encoded image" } ``` #### **Output** ``` { "caption": "caption of the posted image" } ``` ### Text summarization `POST /api/summarize` #### **Input** ``` { "text": "text to be summarize", "params": {} } ``` #### **Output** ``` { "summary": "summarized text" } ``` #### Optional: `params` object for control over summarization: | Name | Default value | | --------------------- | ------------------------------------------------------------- | | `temperature` | 1.0 | | `repetition_penalty` | 1.0 | | `max_length` | 500 | | `min_length` | 200 | | `length_penalty` | 1.5 | | `bad_words` | ["\n", '"', "*", "[", "]", "{", "}", ":", "(", ")", "<", ">"] | ### Text sentiment classification `POST /api/classify` #### **Input** ``` { "text": "text to classify sentiment of" } ``` #### **Output** ``` { "classification": [ { "label": "joy", "score": 1.0 }, { "label": "anger", "score": 0.7 }, { "label": "love", "score": 0.6 }, { "label": "sadness", "score": 0.5 }, { "label": "fear", "score": 0.4 }, { "label": "surprise", "score": 0.3 } ] } ``` > **NOTES** > 1. Sorted by descending score order > 2. Six fixed categories > 3. Value range from 0.0 to 1.0 ### Key phrase extraction `POST /api/keywords` #### **Input** ``` { "text": "text to be scanned for key phrases" } ``` #### **Output** ``` { "keywords": [ "array of", "extracted", "keywords", ] } ``` ### Stable Diffusion prompt generation `POST /api/prompt` #### **Input** ``` { "name": "character name (optional)", "text": "textual summary of a character" } ``` #### **Output** ``` { "prompts": [ "array of generated prompts" ] } ``` ### Stable Diffusion image generation `POST /api/image` #### **Input** ``` { "prompt": "prompt to be generated" } ``` #### **Output** ``` { "image": "base64 encoded image" } ``` ## Additional options | Flag | Description | | ------------------------ | ---------------------------------------------------------------------- | | `--port` | Specify the port on which the application is hosted. Default: **5100** | | `--listen` | Host the app on the local network | | `--share` | Share the app on CloudFlare tunnel | | `--cpu` | Run the models on the CPU instead of CUDA | | `--summarization-model` | Load a custom summarization model.
Expects a HuggingFace model ID.
Default: [Qiliang/bart-large-cnn-samsum-ChatGPT_v3](https://huggingface.co/Qiliang/bart-large-cnn-samsum-ChatGPT_v3) | | `--classification-model` | Load a custom sentiment classification model.
Expects a HuggingFace model ID.
Default: [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) | | `--captioning-model` | Load a custom captioning model.
Expects a HuggingFace model ID.
Default: [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) | | `--keyphrase-model` | Load a custom key phrase extraction model.
Expects a HuggingFace model ID.
Default: [ml6team/keyphrase-extraction-distilbert-inspec](https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec) | | `--prompt-model` | Load a custom prompt generation model.
Expects a HuggingFace model ID.
Default: [FredZhang7/anime-anything-promptgen-v2](https://huggingface.co/FredZhang7/anime-anything-promptgen-v2) | | `--sd-model` | Load a custom Stable Diffusion image generation model.
Expects a HuggingFace model ID.
Default: [ckpt/anything-v4.5-vae-swapped](https://huggingface.co/ckpt/anything-v4.5-vae-swapped)
*Must have VAE pre-baked in PyTorch format or the output will look drab!* | | `--sd-cpu` | Force the Stable Diffusion generation pipeline to run on the CPU.
**SLOW!** | | `--enable-modules` | Override a list of enabled modules. Runs with everything enabled by default.
Expects a comma-separated list of module names. See [Modules](#modules) |