This project is a simple chatbot application built using Streamlit and the Ollama language model. The chatbot can interact with users, maintaining a conversation history and streaming responses in real-time.

• Installation
• Usage
• Project Structure
• Acknowledgements

1. Python 3.7 or higher
2. pip (Python package installer)

1. Clone the Repository

   git clone https://github.com/chiragjoshi12/chatbot_with_ollama_and_streamlit.git
   cd chatbot_with_ollama_and_streamlit

2. Install Required Packages

   Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

   Install dependencies:

   pip install -r requirements.txt

3. Install Ollama & Load Model in Your System

   Follow the instructions in this video by Harper Caroll to install Ollama and load models locally.

1. Run the Streamlit App

   streamlit run app.py

2. Interact with the Chatbot

   Open the provided URL in your web browser. You can start interacting with the chatbot, and it will maintain the conversation history.

• app.py: Main application file containing the Streamlit app code.
• requirements.txt: A list of Python packages required to run the application.

• Harper Caroll for the video tutorial on how to install Ollama and load models locally.
• Streamlit for providing an easy way to create web applications for machine learning and data science.
• Ollama for the language models used in the chatbot.

Readme made with 💖 using README Generator by Chirag Joshi