A Python script designed to summarize webpages from specified URLs using the LangChain framework and the ChatOllama model. It leverages advanced language models to generate detailed summaries, making it an invaluable tool for quickly understanding the content of web-based documents.
ollama must be installed and served
ollama run llama3:instructpip install -r requirements.txt- Summarization of webpages and youtube videos directly from URLs.
- Translates to Turkish language (other languages will be added soon!)
- Integration with LangChain and ChatOllama for state-of-the-art summarization.
- Command-line interface for easy use and integration into workflows.
To use the webpage summarizer, run the script from the command line, providing the URL of the document you wish to summarize:
python summarizer.py -u "http://example.com/document"Replace http://example.com/document with the actual URL of the document you want to summarize.
To use the webpage summarizer in you web browser, you can also try gradio app.
python app/webui.py
docker build -t web_summarizer .
docker run -p 7860:7860 web_summarizer
# Run if you run ollama on host
docker run -d --network='host' -p 7860:7860 web_summarizerTo contribute to the development of this script, clone the repository, make your changes, and submit a pull request. We welcome contributions that improve the script's functionality or extend its capabilities.
- Summarize youtube videos
- Dockerize project
- Translate to different languages
- Streaming text output on gradio
- Serve on web
This script is released under the MIT License. See the LICENSE file in the repository for full details.
