Learning SmoLAgents

This repository contains various examples and experiments using the smolagents library to build AI agents for different tasks.

Overview

SmoLAgents is a lightweight framework for building AI agents that can perform various tasks autonomously. This repository demonstrates different applications of SmoLAgents, including:

• LinkedIn job search automation
• YouTube script generation
• News video creation
• Trip planning
• Text to SQL conversion
• House cost estimation
• And more!

Project Structure

• linkedin_job_search_agent.py: An agent that can search and apply for jobs on LinkedIn
• yt_script_writer.py: Generates YouTube video scripts
• script_to_presentation_agent.py: Converts scripts to PowerPoint presentations
• download_photos_agent.py: Downloads relevant images for presentations
• browser_automation.py: Utilities for web browser automation
• text_to_sql.py: Converts natural language to SQL queries
• trip_planner.py: Plans trips based on user preferences
• house_cost_estimator.py: Estimates house costs based on various factors

Installation

1. Clone this repository:

git clone https://github.com/asvskartheek/learning_smolagents.git
cd learning_smolagents

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables:

cp .env.example .env
# Edit .env with your API keys and other configuration

Usage Examples

LinkedIn Job Search Agent

This agent can autonomously search for jobs on LinkedIn and apply to them using the "Easy Apply" feature.

from linkedin_job_search_agent import LinkedInJobSearchAgent

agent = LinkedInJobSearchAgent()
agent.run(job_title="AI Engineer", location="Switzerland")

See linkedin_job_search_agent.py for more details.

YouTube Script Generation

Generate scripts for YouTube videos on various topics:

from yt_script_writer import generate_script

script = generate_script(topic="AI Agents")
print(script)

See yt_script.md for an example output.

News Video Creation

The process of creating a news video involves several steps as outlined in news_video.md:

1. Research a topic using web search
2. Find good source documents
3. Write a YouTube script
4. Download needed images
5. Create a PowerPoint presentation
6. Sync the presentation with audio output

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is open source and available under the MIT License.