https://github.com/elizabethsiegle/cf-ai-lora-news-summarizer

Python webapp that summarizes news with Cloudflare Workers AI LoRA, Mistral, Beautifulsoup, and Streamlit
https://github.com/elizabethsiegle/cf-ai-lora-news-summarizer

beautifulsoup beautifulsoup4 cloudflare cloudflare-ai cloudflare-workers cloudflare-workers-ai lora mistral-7b python streamlit

Last synced: 28 days ago
JSON representation

Python webapp that summarizes news with Cloudflare Workers AI LoRA, Mistral, Beautifulsoup, and Streamlit

• Host: GitHub
• URL: https://github.com/elizabethsiegle/cf-ai-lora-news-summarizer
• Owner: elizabethsiegle
• Created: 2024-07-09T05:28:47.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-12T18:19:10.000Z (6 months ago)
• Last Synced: 2024-07-13T09:10:32.646Z (6 months ago)
• Topics: beautifulsoup, beautifulsoup4, cloudflare, cloudflare-ai, cloudflare-workers, cloudflare-workers-ai, lora, mistral-7b, python, streamlit
• Language: Python
• Homepage: https://cf-ai-lora-news-summarizer.streamlit.app/
• Size: 324 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# AI News Summarizer with [Cloudflare Workers AI](https://ai.cloudflare.com/) and [public LoRAs](https://developers.cloudflare.com/workers-ai/fine-tunes/public-loras/)



![app](app.png)

Run fine-tuned inference with adapters trained with Low-Rank Adaptation for free.

This project uses the `mistral-7b-instruct-v0.1` fine-tune and `cf-public-cnn-summarization` LoRA adapter.

To run the app--

1. Install the necessary libraries with `pip install -r requirements.txt`.

2. Make a .env file with the following, replacing the Cloudflare API Token and Cloudflare Account ID with your own credentials from your Cloudflare dashboard Workers & Pages Overview:

```

CF_API_TOKEN=XXX

CF_ACCOUNT_ID=XXX

```

3. Run `streamlit run app.py` to run the app.

4. ✨tada🎉

https://github.com/user-attachments/assets/1f8af809-73d7-4f9f-ae92-9c0206c5c42e