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Q&A Chatbot with Cohere, Streamlit and Python

This Q&A chatbot is built using Cohere, Streamlit and Python programming language. Cohere is a powerful natural language processing API that allows us to build conversational AI systems quickly and easily. Streamlit is a web application framework for building and deploying data-driven applications quickly.

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Technologies Used

The following technologies were used to build the Q&A Chatbot:

  • Cohere: An NLP platform that allows developers to build conversational interfaces.
  • Streamlit: An open-source framework used to build interactive web applications.
  • Python: A programming language used for building various applications.

Features

  • Natural Language Processing: The chatbot can understand and process natural language queries from users, making it easier for users to interact with the chatbot.
  • Customizable Responses: The chatbot can be customized to provide personalized responses based on the user's query.
  • Easy Integration: The chatbot can be easily integrated into any web application, making it an ideal choice for businesses and organizations that want to provide quick and efficient customer service.

Setup

To get started, you will need to install the following dependencies:

  • Cohere API: You can sign up for Cohere API and obtain an API key here.
  • Streamlit: You can install Streamlit using the following command:

pip install streamlit

Once you have installed the dependencies, you can run the chatbot using the following command: streamlit run index.py

Conclusion

Overall, the Q&A Chatbot is a powerful tool that can answer user questions related to a specific topic with high accuracy. Its natural language processing capabilities and interactive interface make it easy for users to get the information they need quickly and efficiently.

About

I built a Question and Answer chatbot with Cohere.

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