metadata

title: CrewAI Multiagent Research Tool
emoji: 📈
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: true
license: cc-by-nc-nd-4.0

CrewAI Multiagent Research Tool

Welcome to the CrewAI Research Tool on Hugging Face Spaces! This tool leverages Gradio, Cohere, CrewAI, and Azure/OpenAI technologies to automate and streamline online research, compile reports, and extract data through web crawling.

📝 Description

The CrewAI Research Tool uses advanced AI capabilities to:

Gather, analyze, and compile information on various topics.
Deliver comprehensive, structured reports.
Automate the research process, from web searching to report generation.

🚀 Features

Web Search Automation:
- Uses the DuckDuckGo search engine to perform searches and gather detailed results.
Data Extraction and Summarization:
- Extracts and summarizes web content using web scraping tools and LLMs.
Detailed Report Generation:
- Agents like 'Researcher' and 'Editor' sequentially craft polished reports based on findings.
Interactive Gradio Interface:
- Allows users to input research topics and generate reports with a single button click.

🛠 Tools and Technologies

CrewAI:
- Orchestrates agents with specific roles to automate workflows.
OpenAI, Azure OpenAI Services, and Groq:
- Employs large language models for understanding and content generation.
Gradio:
- Provides an intuitive web interface for user interaction.

⚙️ Utility Functions

setup_logging(): Configures logging to output messages to the console.
export_to_markdown(result): Saves the generated report to a Markdown file.
fetch_content(url): Retrieves content from a URL, handling both PDFs and web articles.

Custom Tools

search_results(search_query: str) -> list:
- Performs a web search using DuckDuckGo and returns a list of results.
web_scrapper(url: str, topic: str) -> str:
- Extracts and summarizes content from a URL related to a topic.

🤖 AI Agents and Tasks

Agents

Researcher: Gathers detailed information on a specified topic using search and scraping tools.
Editor: Refines the collected data into a structured, polished report.

Tasks

research_task: Directs the Researcher to collect and draft information.
edit_task: Guides the Editor to refine drafts into final reports.

🧠 Crew Orchestration

The Crew class manages agents and tasks, ensuring proper execution order and seamless interactions.

💻 How to Use

The user interface, built with Gradio, includes:

Model Selection: Choose between AI models (Azure, OpenAI, Groq-Cohere).
API Key Inputs: Provide necessary API keys for the selected model.
Topic Input: Enter the research topic.
Buttons:
- Start Research: Initiates the research process.
- Export to Markdown: Saves the report as a Markdown file.

Steps

Select a Model: Use the radio buttons to choose your preferred AI model.
Enter API Keys: Fill in the required API keys based on the model.
Enter a Topic: Type your research topic into the textbox.
Start Research: Click the button to generate the report.
View Results: See the generated report in the output section.
Export Report: Save the report as a Markdown file for future reference.

🌟 Contributions and Feedback

We welcome contributions!

Duplicate this Space, make improvements, and submit a pull request.
For feedback and issues, open an issue in the project's Community tab.

📜 License

This project is licensed under the cc-by-nc-nd-4.0.

🙏 Acknowledgments

Special thanks to the open-source projects and APIs that made this tool possible:

And of course to Hugging Face!! 🤗