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#hnl2023

1. Create virtual environment and install dependencies:

python -m venv llm

source llm/bin/activate

pip install -r requirements.txt

2. Start Qdrant DB locally and let it run:

docker pull qdrant/qdrant

docker run -p 6333:6333 \
    -v $(pwd)/qdrant_storage:/qdrant/storage:z \
    qdrant/qdrant

3. Load Qdrant DB with documents:

   • From src/ folder run:

   python db.py <your_openai_api_key> <your_openai_organization>
   

4. Once Step 3 has finished successfully, run the Streamlit App:

   • From src/ folder run:

   streamlit run app.py -- --api_key <your_openai_api_key> --org <your_openai_organization>