Cohere Demo

This repository contains a demo application showcasing the integration with Cohere. Below is a detailed explanation of the contents, architecture, and instructions on how to run the application.

Architecture Diagram

The architecture diagram above illustrates the flow and components of the application:

1. User Interface (UI): The main entry point of the application is ui.py. This script handles user interactions and displays the results.
2. Backend Processing: The backend processes the data received from the UI, interacts with the Cohere API, and returns the processed results.

Running the Application

To run the application, follow these steps:

1. Clone the Repository:

   git clone https://github.com/mongodb-partners/MongoDB_Cohere.git
   cd Cohere-demo

2. Install Dependencies: Ensure you have Python installed. Then, install the required packages:

   pip install pymongo python-dotenv cohere streamlit

3. Set Up Environment Variables: Create a .env file in the root directory and add the necessary environment variables:

   COHERE_API_KEY = <COHERE_API_KEY>
   HF_TOKEN = <HUGGING_FACE_TOKEN>
   MONGO_URI = <MONGODB_URI>
   

4. Run the Application: Execute the main file to start the application:

   streamlit run ui.py

Environment Variables

The application uses the following environment variables, which should be defined in the .env file:

• COHERE_API_KEY: Your API key for accessing Cohere's services.
• HF_TOKEN: Your Hugging Face token for accessing Hugging Face's services.
• MONGO_URI: The URI for connecting to your MongoDB database.

Conclusion

This README provides a comprehensive guide to understanding and running the Cohere demo application. For any issues or contributions, please refer to the repository's issue tracker or submit a pull request.