https://github.com/lexiestleszek/rag-ollama
Gardio app with RAG implementation using Ollama.
https://github.com/lexiestleszek/rag-ollama
Last synced: 7 months ago
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Gardio app with RAG implementation using Ollama.
- Host: GitHub
- URL: https://github.com/lexiestleszek/rag-ollama
- Owner: LexiestLeszek
- Created: 2024-02-15T14:11:24.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-15T14:49:55.000Z (over 1 year ago)
- Last Synced: 2025-01-13T21:44:14.764Z (9 months ago)
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# rag-ollama
This is a Gradio-powered web application that allows users to search for academic papers on [arXiv](https://arxiv.org/) and ask questions about them. It uses natural language processing techniques to provide answers based on the content of the papers.
## Features
- Search for academic papers on arXiv.
- Ask questions about the content of the papers.
- Get answers generated by a language model.
## Installation
Install Gradio and other required packages using pip:
```bash
pip install gradio arxiv-dl langchain langchain-community
```
## Usage
Run the application with the following command:
```bash
python gradio_app.py
```
After starting the application, visit `http://localhost:7860` in your web browser to interact with the application. You can enter a search query and a question related to the papers returned by the query.
## Sharing the Application
If you want to share the application publicly, modify the `launch()` call in `app.py` to include `share=True`:
```python
iface.launch(share=True)
```
Running the application with `share=True` will generate a public URL that you can share with others.
## Security Considerations
When sharing your Gradio app, be aware that users will have access to temporary files created by Gradio and files allowed via the `allowed_paths` parameter in `launch()`. Ensure that sensitive information is not exposed through your application and consider adding authentication if necessary.
## Contributing
Contributions to are welcome! Please feel free to submit pull requests or report issues.
## License
this RAG app is licensed under the Apache License 2.0. See the LICENSE file for details.