4c3d19cc8b
* 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
38 lines
901 B
Markdown
38 lines
901 B
Markdown
# Simple Chatbot
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<img src="image.png" width="420px">
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This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion.
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See a video of it in action: https://x.com/kwindla/status/1778628911817183509
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And a quick video walkthrough of the code: https://www.loom.com/share/13df1967161f4d24ade054e7f8753416
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ℹ️ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
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## Get started
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```python
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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cp env.example .env # and add your credentials
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```
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## Run the server
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```bash
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python server.py
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```
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Then, visit `http://localhost:7860/start` in your browser to start a chatbot session.
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## Build and test the Docker image
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```
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docker build -t chatbot .
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docker run --env-file .env -p 7860:7860 chatbot
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```
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