Q&A ChatBot with Ollama

Demo: https://akshaya-chatbot-ollama.streamlit.app/

A Q&A Chatbot built using Streamlit that allows users to interact with various AI models like Llama3, Llama2, and Gemma:2b for generating responses to user queries. The project integrates LangChain for prompt management and Ollama for accessing different models, providing a flexible and customizable chatbot experience.

Tech Stack:

Python, Streamlit, LangChain, Ollama (llama3, llama2, gemma:2b), Langsmith

Features:

• Multiple Model Support: Users can choose between Llama3, Llama2, and Gemma:2b based on their needs.
• Customizable Responses: Adjustable settings for temperature and max tokens to control response style and length.
• User-Friendly Interface: Simple input field and submission button for asking queries, with real-time response generation.
• Environment Configuration: Uses .env files for secure API key management and tracking settings with Langsmith.

Q&A ChatBot with OpenAI

Demo: https://akshaya-chatbot-openai.streamlit.app/

A Q&A Chatbot application using Streamlit that enables users to interact with OpenAI models like GPT-4. It leverages LangChain's prompt management to streamline query processing and OpenAI's API for generating responses. The app offers customization options for the model's behavior through adjustable parameters.

Tech Stack:

Python, Streamlit, OpenAI API, LangChain, dotenv

Features:

• Multiple OpenAI Model Selection: Users can select models like GPT-4, GPT-4-Turbo, and GPT-4o based on their preferences.
• Customizable Output: Adjust temperature and max tokens through the interface to control response creativity and length.
• Secure API Key Input: Users can securely input their OpenAI API key through the sidebar for accessing the models.
• User-Friendly Query Input: Provides a simple input field for users to ask questions and receive real-time responses.