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Leveraging Cohere API's robust knowledge retrieval and Hugging Face's generative capabilities, this innovative chatbot delivers contextually relevant and human-like conversations across domains like customer service and education, setting a new standard in interactive technology.\n\n## Getting Started\n\n### Environment Setup\n\nTo get started, create a virtual environment and activate it:\n\n```bash\nvirtualenv venv\nsource venv/bin/activate\n```\n\nCreate a local environment file (`.env`) and add your huggingface API key:\n\n```bash\nCOHERE_API=your_cohere_api_key\n```\n\n### Install Dependencies\n\nNext, install the required dependencies using pip:\n\n```bash\npip install -r requirements.txt\n```\n\n### Run the Application\n\nNow, you can run the application:\n\n```bash\ngradio app.py\n```\n\nThis will start the application, allowing you to chat with the RAG model.\n\n## Usage\n\nOnce the application is up and running, you can interact with the chatbot through a web interface.\n\n## Additional Resources\n\n- Check out the chatbot on [![Hugging Face Spaces](https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/mca183/rag-cohere)\n- Explore more about the Dynamic-TinyBERT model [here](https://huggingface.co/Intel/dynamic_tinybert)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fengichang1467%2Frag-chatbot-cohere","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fengichang1467%2Frag-chatbot-cohere","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fengichang1467%2Frag-chatbot-cohere/lists"}