Project: Researcher Agent

Description

Researcher Agent is an intelligent Streamlit-based AI assistant that performs real-time research on any given topic using web search and content scraping tools. It uses the Groq LLM (LLaMA3) to:

1. Search the web for the topic using a custom search tool.
2. Scrape content from found URLs using a scraper tool.
3. Generate a short, coherent report based only on the scraped content.

Demo

watch the demo here

How to Run

Prerequisites

• Python 3.8+

• API key for Groq

• Installed dependencies:

  • streamlit
  • groq
  • firecrawl
  • seper API

Installation

1. Clone this repository or copy the files into a folder:

   git clone https://HamnaCh456/Researcher_Agent.git
   

2. Install required packages:

   pip install -r requirements.txt

3. Add your Groq API key in the script or use environment variables.

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Run the App

streamlit run your_script_name.py

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Example Usage

• Enter a topic like: latest AI tools, or quantum computing applications.

• The agent will:

  • Search the web for this topic.
  • Scrape relevant pages.
  • Generate a short, factual report.

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File Structure

├── researcher_app.py        # Main Streamlit app (your current script)
├── tools.py                 # Contains `searcher` and `scraper` functions
├── README.md                # This file
└── requirements.txt         # Python dependencies

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Features

• Uses Groq’s LLaMA3 model for generation
• Utilizes structured tool calling with search & scrape functions
• Produces factual, real-world responses from scraped content
• Easy web interface with Streamlit