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https://github.com/nishchal-kansara/ollama-chatbot
A conversational chatbot built using Streamlit and Ollama, designed to interact with users, process queries, and generate responses using AI models. It also includes the functionality to save chat conversations as PDF files.
https://github.com/nishchal-kansara/ollama-chatbot
chatbot custom-chatbot fpdf local-chatbot ollama python python3 streamlit
Last synced: 18 days ago
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A conversational chatbot built using Streamlit and Ollama, designed to interact with users, process queries, and generate responses using AI models. It also includes the functionality to save chat conversations as PDF files.
- Host: GitHub
- URL: https://github.com/nishchal-kansara/ollama-chatbot
- Owner: nishchal-kansara
- Created: 2025-01-03T11:49:13.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-01-03T12:18:32.000Z (about 1 month ago)
- Last Synced: 2025-01-20T20:54:02.404Z (22 days ago)
- Topics: chatbot, custom-chatbot, fpdf, local-chatbot, ollama, python, python3, streamlit
- Language: Python
- Homepage: https://nishchal-kansara.web.app/
- Size: 248 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Ollama Chatbot
A conversational chatbot built using **Streamlit** and **Ollama**, designed to interact with users, process queries, and generate responses using AI models. It also includes the functionality to save chat conversations as **PDF files**.
## 🚀 **Features**
- **Interactive Chat Interface:** Communicate seamlessly with the chatbot.
- **Model Selection:** Choose from available AI models provided by Ollama.
- **PDF Export:** Save chat conversations as downloadable PDF files.
- **User-Friendly UI:** Responsive and clean design using Streamlit.
## 🛠️ **Tech Stack**
- **Python**: Core programming language.
- **Streamlit**: Frontend for chatbot UI.
- **Ollama**: Backend AI model provider.
- **FPDF**: PDF generation library.
## 📦 **Installation**
1. **Clone the Repository:**
```bash
git clone https://github.com/your-username/ollama-chatbot.git
cd ollama-chatbot
```
2. **Ollama Setup:**
- **Download Ollama:** [Ollama Download Page](https://ollama.com/download)
- **Explore Model Library:** [Ollama Model Library](https://github.com/ollama/ollama?tab=readme-ov-file#model-library)
3. **Install Dependencies:**
- **Streamlit:** [Installation Guide](https://docs.streamlit.io/get-started/installation/command-line)
```bash
pip install streamlit
```
- **Ollama:**
```bash
pip install ollama
```
- **Pull and Verify Model:**
```bash
ollama pull {model: model_library}
ollama list
ollama run {pulled_model}
```
- **FPDF:**
```bash
pip install fpdf
```
4. **Run the Application:**
```bash
streamlit run chatBot.py
```
## 📑 **How to Use**
1. **Select an AI Model:**
- Use the dropdown to pick an available Ollama model.
2. **Start Chatting:**
- Type your message in the chat input field and interact with the AI.
3. **Save Chat as PDF:**
- Click on **"Save as PDF"** to download the chat conversation.
## 📝 **Folder Structure**
```
ollama-chatbot/
├── chatBot.py # Main application file
├── fonts/ # Folder for font files
├── response-pdf/ # Folder for saving generated PDFs
├── README.md
```
## ⚠️ **Error Handling**
- If no model is selected, an error message will prompt the user.
- Any unexpected errors will be displayed in the Streamlit interface.
## 🌐 **Resources**
- [Streamlit Documentation](https://docs.streamlit.io/)
- [Ollama Documentation](https://ollama.com/)
- [Ollama Model Library](https://github.com/ollama/ollama?tab=readme-ov-file#model-library)
- [FPDF Documentation](https://pyfpdf.readthedocs.io/)
## 🎬 **Video Tutorial**
Check Out Video Tutorial Here: [**Click Here to Watch Video Tutorial**](https://drive.google.com/file/d/1r95Lqj9BKExA8tp0_0GLu0wuig6c1RPM/view?usp=sharing)
Enjoy building with Ollama Chatbot! 🤖✨
## 👤 **Author**
Developed by [**Nishchal Kansara**](https://nishchal-kansara.web.app/) using [**Ollama**](https://ollama.com/)
### Check out My Projects & Resume
1. **Personal Website:** [https://nishchal-kansara.web.app/](https://nishchal-kansara.web.app/)
2. **Resume:** [https://nishchal-kansara.web.app/resume.html](https://nishchal-kansara.web.app/resume.html)
**Connect with me on LinkedIn:** [Nishchal Kansara](https://www.linkedin.com/in/nishchal-kansara/)