Multi_Agent

AI agent using Python and Crew AI to automate the search process for relevant blog articles and YouTube videos on a given topic. The system utilized tools like SerperDevTool for web scraping and YouTube Search Tool for video retrieval

Technologies Used- Python: Core programming language used for the project.

• Crew AI: Used for defining and managing AI agents and tasks.
• Langchain: Provides the ability to manage natural language processing workflows and agent-based tasks.
• SerperDevTool: Used for web scraping to find relevant blog articles.
• YouTube API: Utilized for retrieving YouTube videos based on search queries.
• Pydantic: Ensures data validation and serialization in JSON format.
• Streamlit: Simple UI for inputting topics and displaying search results.

Installation

Clone this repository:

git clone https://github.com/Venkateshh-Sugandham/Multi_Agent.git
cd Multi_Agent

Create a Virtual Environment

python3 -m venv venv

Activate the Virtual Environment

venv\Scripts\activate

Install the required dependencies:

pip install -r requirements.txt

Create a .env file in the root directory and add your API keys for YouTube and SerperDevTool:

YOUTUBE_API_KEY=your_youtube_api_key
SERPER_API_KEY=your_serper_api_key

Running the Application

streamlit run app.py

Enter the topic of interest in the app's input field, and the system will automatically retrieve and display the relevant blog articles and YouTube videos.