conversational agent with llm gpt-4o
- things to build for example are:
- example use azure openai with python (done)
- example use history as previous knowledge and context (done)
- example use case for function call with gpt-4o model(done)
- use RAG (retreival augmented generation) as added knowledge for product(todo)
- to be continue..
- make sure you create .env file with this variable inside
AZURE_OPENAI_ENDPOINT=YOUR API OPENAI ENDPOINT
CHAT_COMPLETIONS_DEPLOYMENT_NAME=Your Model Name(i'm using gpt-4o)
PROMPT_FILE_NAME=prompt_pizza_hut_id.txt
- pip install -r requirements.txt
- run python main.py