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--- |
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title: CRAB |
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emoji: 🦀 |
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colorFrom: red |
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colorTo: purple |
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sdk: streamlit |
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sdk_version: 1.32.2 |
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app_file: app.py |
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pinned: false |
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--- |
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# CRAB- Colorado Road Assistant Bot |
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CRAB is a chat assistant designed to tackle any queries straight from Colorado’s driver handbook. Powered by cutting-edge technology, CRAB utilizes Google’s Gemini language model, Pinecone vector database, and is wrapped with LangChain to provide specific and accurate answers to your road rule questions. |
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Find more about CRAB in this [LinkedIn post](https://www.linkedin.com/posts/niranjan-cholendiran_gemini-pinecone-langchain-activity-7176397118763380736-hdo1?utm_source=share&utm_medium=member_desktop) and see CRAB in action [here](https://huggingface.co/spaces/NiranjanC/CRAB-ColoradoRoadAssistantBot). |
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## Installation |
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1. **Install Python Packages:** |
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Use the following command to install all the required Python packages: |
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```bash |
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pip install -r requirements.txt |
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``` |
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2. **Set Up Environment Variables:** |
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Create a `.env` file in the root directory and add the following secret codes: |
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```plaintext |
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GOOGLE_API_KEY=your_google_api_key |
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PINECONE_API_KEY=your_pinecone_api_key |
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PINECONE_ENV=your_pinecone_environment |
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PINECONE_INDEX_NAME=your_pinecone_index_name |
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PINECONE_HOST=your_pinecone_host |
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``` |
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3. **Create Pinecone Index:** |
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Execute the `PineconeDataPrep.ipynb` notebook to create the Pinecone index. |
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4. **Run the application** |
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Run the Streamlit application: |
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```bash |
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streamlit run app.py |
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``` |
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