This Streamlit app empowers you to research top stories and users on HackerNews using a team of AI assistants with GPT-4o.

• Research top stories and users on HackerNews
• Utilize a team of AI assistants specialized in story and user research
• Generate blog posts, reports, and social media content based on your research queries

1. Clone the GitHub repository

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git

2. Install the required dependencies:

pip install -r requirements.txt

3. Get your OpenAI API Key

• Sign up for an OpenAI account (or the LLM provider of your choice) and obtain your API key.

4. Run the Streamlit App

streamlit run research_agent.py

• Upon running the app, you will be prompted to enter your OpenAI API key. This key is used to authenticate and access the OpenAI language models.

• Once you provide a valid API key, three instances of the Assistant class are created:

  • story_researcher: Specializes in researching HackerNews stories.
  • user_researcher: Focuses on researching HackerNews users and reading articles from URLs.
  • hn_assistant: A team assistant that coordinates the research efforts of the story and user researchers.

• Enter your research query in the provided text input field. This could be a topic, keyword, or specific question related to HackerNews stories or users.

• The hn_assistant will orchestrate the research process by delegating tasks to the story_researcher and user_researcher based on your query.

• The AI assistants will gather relevant information from HackerNews using the provided tools and generate a comprehensive response using the GPT-4 language model.

• The generated content, which could be a blog post, report, or social media post, will be displayed in the app for you to review and use.