Chat with the lovely chat to change the state and color of the lock.
- GPT can interpret unstructured data to alter send back specific data.
- Make chatbot have a personality and send back a conversations
- Voice to chat interactions.
- Integrate chat model into application functionality (chat to action)
I was bored and wanted to add a cool feature to the other application I am currently working on. Theres a few things I wanted to try and build here before I did that. I also wanted to learn Langchain and ChatGPT more in depth to potentially change my career.
Clone the repository
git clone git@github.com:xelacast/speak-to-me.git && cd speak-to-meRequirements:
- Node.js 18+
- pnpm
- docker
- python3.11+
Follow the bash commands below to run the projects
cd web && cp .env.example .env && pnpm i && pnpm dev --turboThen travel to http://localhost:3000
Open a new bash terminal to run the commands in
cd server && cp .env.example .env && python3 -m venv .venv && source ./.venv/bin/activate && pip install -r requirements.txtYou must insert your environment variables NOW. The only REQUIRED variable is the OPENAI_API_KEY. The app is running off of ChatGPT so you must use an OpenAI api key.
(Optional) The app is using Langchain with Langsmith and Langserve so you can create a langsmith account and api key if you want tracing
Once you have the OpenAI API key placed into your .env run the following
python3 main.pyThis will run the server on http://localhost:8000
Endpoints can be seen at http://localhost:8000/docs
Travel to http://localhost:3000 after setup and talk to the chatbot. Right now it can only take in commands to change its color and to change the lock to a state of 'opened' 'closed' 'half-opened'. The GPT will inference the color and state based off the text input. If it doesn't find a color or state it will default to 'closed' and 'black'.
Travel to http://localhost:8000/lockcolor/playground to interact with the endpoint
Feel free to contribute