https://github.com/neural-maze/talking_with_hn

The full experience of chatting with your favourite news website.
https://github.com/neural-maze/talking_with_hn

agent agents chatbot chatbots chatgpt chatgpt-api langchain langchain-python openai python streamlit

Last synced: about 19 hours ago
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The full experience of chatting with your favourite news website.

• Host: GitHub
• URL: https://github.com/neural-maze/talking_with_hn
• Owner: neural-maze
• License: mit
• Created: 2023-11-21T15:29:49.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-19T11:18:57.000Z (about 1 year ago)
• Last Synced: 2024-05-06T17:22:58.069Z (9 months ago)
• Topics: agent, agents, chatbot, chatbots, chatgpt, chatgpt-api, langchain, langchain-python, openai, python, streamlit
• Language: Python
• Homepage: https://newsnerdhackerbot.streamlit.app/
• Size: 9.62 MB
• Stars: 105
• Watchers: 1
• Forks: 22
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# NewsNerd HackerBot 🤖📰

Greetings, fellow news nerds! Welcome to the NewsNerd HackerBot, your ultimate companion for hacking into the latest tech scoops on Hacker News! 🕵️‍♂️💬



  



## Features 🚀

Right now, NewsNerd HackerBot is able to:

1. Get you the top, best, new, best, ask, show, and job stories of Hacker News.

2. Filter the stories by any keyword/keywords you want (e.g., `Give me 20 stories about Sam Altman and OpenAI`).

3. Extract the comments from a story. You can use this to evaluate the general sentiment of the story.

4. Read blogs/articles linked to a story in order to reason about them.

If you want to see them in action, check the examples down below! 👇👇👇

---



  

  


  Fetching top stories related to a topic



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  Conducting sentiment analysis on comments



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  Reading the linked article for additional insights



---

## Local Use

The application is available in Streamlit Cloud (https://newsnerdhackerbot.streamlit.app/),

but if you want to run it locally, just follow these steps 😊

1. **Install dependencies:**

   ```bash

   pip install -r requirements.txt

   ```

2. **Run Streamlit application:**

   ```bash

   streamlit run newsnerd_hackerbot.py

   ```