Function calling (#175)

* added function calling code back

* removed old llm_context file

* added integration testing for openai

* added function calling example

* added function callbacks

* added function start callback

* fixup

* fixup

* added different return type support for function calling

* intake example working

* added frame loggers

* cleanup

* fixup

* Update openai.py

* removed function call frame types

* fixup

* re-added example

* renumbered wake phrase

* fixup for autopep8

* remove unused imports
This commit is contained in:
chadbailey59
2024-05-30 12:25:39 -05:00
committed by GitHub
parent a3ba07c7a3
commit 4c3d19cc8b
31 changed files with 1187 additions and 318 deletions

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# Simple Chatbot
<img src="image.png" width="420px">
This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion.
See a video of it in action: https://x.com/kwindla/status/1778628911817183509
And a quick video walkthrough of the code: https://www.loom.com/share/13df1967161f4d24ade054e7f8753416
The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
## Get started
```python
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cp env.example .env # and add your credentials
```
## Run the server
```bash
python server.py
```
Then, visit `http://localhost:7860/start` in your browser to start a chatbot session.
## Build and test the Docker image
```
docker build -t chatbot .
docker run --env-file .env -p 7860:7860 chatbot
```