42 lines
1.9 KiB
Markdown
42 lines
1.9 KiB
Markdown
## 📰 Multi-Agent AI Researcher
|
|
This Streamlit app empowers you to research top stories and users on HackerNews using a team of AI assistants with GPT-4o.
|
|
|
|
### Features
|
|
- 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
|
|
|
|
### How to get Started?
|
|
|
|
1. Clone the GitHub repository
|
|
|
|
```bash
|
|
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
|
|
```
|
|
2. Install the required dependencies:
|
|
|
|
```bash
|
|
pip install -r requirements.txt
|
|
```
|
|
3. Get your OpenAI API Key
|
|
|
|
- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
|
|
|
|
4. Run the Streamlit App
|
|
```bash
|
|
streamlit run research_agent.py
|
|
```
|
|
|
|
### How it works?
|
|
|
|
- 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.
|
|
|