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https://github.com/chiragjoshi12/chatbot_with_ollama_and_streamlit
Streamlit Chatbot using Ollama Open Source LLMs
https://github.com/chiragjoshi12/chatbot_with_ollama_and_streamlit
chatbot chiragjoshi llama2 llama3 mistral ollama ollama-chat phi python streamlit
Last synced: 17 days ago
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Streamlit Chatbot using Ollama Open Source LLMs
- Host: GitHub
- URL: https://github.com/chiragjoshi12/chatbot_with_ollama_and_streamlit
- Owner: chiragjoshi12
- Created: 2024-06-11T06:38:44.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-06-27T11:43:38.000Z (7 months ago)
- Last Synced: 2025-01-12T04:33:55.809Z (26 days ago)
- Topics: chatbot, chiragjoshi, llama2, llama3, mistral, ollama, ollama-chat, phi, python, streamlit
- Language: Python
- Homepage:
- Size: 853 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Ollama Chatbot with Streamlit
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.
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [Acknowledgements](#acknowledgements)
## Installation
### Prerequisites
1. Python 3.7 or higher
2. pip (Python package installer)
### Steps
1. **Clone the Repository**
```sh
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):
```sh
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
Install dependencies:
```sh
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](https://www.youtube.com/watch?v=dOm9YWSYbbg).
## Usage
1. **Run the Streamlit App**
```sh
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.
## Project Structure
- `app.py`: Main application file containing the Streamlit app code.
- `requirements.txt`: A list of Python packages required to run the application.
## Acknowledgements
- Harper Caroll for the video tutorial on how to install Ollama and load models locally.
- [Streamlit](https://streamlit.io/) for providing an easy way to create web applications for machine learning and data science.
- [Ollama](https://ollama.ai/) for the language models used in the chatbot.
Readme made with 💖 using [README Generator by Chirag Joshi](https://github.com/chiragg-ai/readme-generator)