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Navas Herbert
Navas Herbert

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Content Generator from youtube video id

🚗 Audispot Content Writer

An AI-powered content generation tool that creates platform-specific social media content for automotive enthusiasts. Built specifically for audispot254, this tool generates engaging posts for LinkedIn, Instagram, and Twitter from YouTube automotive video transcripts.

🌟 Features

  • YouTube Integration: Automatically extracts transcripts from YouTube automotive videos
  • Platform-Specific Content: Creates tailored content for different social media platforms:
    • LinkedIn: Professional, analytical content for automotive industry professionals
    • Instagram: Casual, enthusiast-focused content with emojis and hashtags
    • Twitter: Concise, opinionated takes designed to spark engagement
  • Modern UI: Clean, dark-mode Streamlit interface
  • AI-Powered: Uses OpenAI GPT-4 for intelligent content generation
  • Real-time Generation: Live content creation with loading indicators

🎯 Target Platforms

LinkedIn

  • Audience: Automotive professionals, engineers, business leaders
  • Tone: Professional, analytical, thought-provoking
  • Focus: Technical insights, industry trends, business implications
  • Length: 180-220 words with professional hashtags

Instagram

  • Audience: Car enthusiasts, Gen Z/Millennial car lovers
  • Tone: Excited, casual, community-driven
  • Focus: Cool features, performance specs, visual appeal
  • Length: 100-130 words with emojis and trendy hashtags

Twitter

  • Audience: Quick scrollers, debate starters, car Twitter community
  • Tone: Sharp, opinionated, conversation-starter
  • Focus: Hot takes, surprising facts, debate points
  • Length: Under 250 characters with strategic hashtags

🛠️ Technology Stack

  • Python 3.11+
  • Streamlit - Web interface
  • OpenAI GPT-4 - Content generation
  • YouTube Transcript API - Video transcript extraction
  • python-dotenv - Environment variable management
  • openai-agents - Agent orchestration

📋 Prerequisites

  • Python 3.11 or higher
  • OpenAI API key
  • UV package manager (recommended)

🚀 Installation

1. Clone the Repository 

git clone https://github.com/Navashub/AI-Agents.git
cd AI-Agents/audispot_content_writer
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2. Set Up Virtual Environment with UV

This project uses UV for dependency management. Install UV if you haven't already:

# Install UV (if not already installed)
pip install uv

# Initialize virtual environment
uv venv

# Activate virtual environment
# On Windows:
.venv\Scripts\activate
# On macOS/Linux:
source .venv/bin/activate
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3. Install Dependencies 

# Install all dependencies from requirements.txt
uv add -r requirements.txt
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4. Environment Configuration

Create a .env file in the project root and add your API keys:

OPENAI_API_KEY=your_openai_api_key_here
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Important:

  • Get your OpenAI API key from OpenAI Platform
  • Never commit your .env file to version control
  • The .env file should be added to your .gitignore

🎮 Usage

Running the Application 

streamlit run app.py
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The application will open in your default web browser at http://localhost:8501

Using the Interface

  1. Enter YouTube Video ID:

    • Extract the ID from a YouTube URL (e.g., for https://www.youtube.com/watch?v=6hr6wZr1N_8, the ID is 6hr6wZr1N_8)

  2. Customize Your Query:

    • Modify the default query or add specific instructions
    • The tool works best with automotive content

  3. Select Platforms:

    • Choose which social media platforms you want content for
    • Each platform generates unique, tailored content

  4. Generate Content:

    • Click "Generate Content" and wait for the AI to process
    • Content will be displayed in separate cards for each platform

Example Usage 

# Direct API usage example
from audispot_content_agent import get_transcript, content_creator_agent

# Get transcript
video_id = "6hr6wZr1N_8"
transcript = get_transcript(video_id)

# Generate content (async)
result = await Runner.run(content_creator_agent, input_items)
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📁 Project Structure 

audispot_content_writer/
├── app.py                      # Streamlit web interface
├── audispot_content_agent.py   # Core AI agent and content generation logic
├── requirements.txt            # Python dependencies
├── pyproject.toml             # Project configuration
├── uv.lock                    # UV lock file
├── transcript_errors.log      # Error logging
├── .env                       # Environment variables (create this)
└── README.md                  # Project documentation
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🔧 Key Components

Content Generation Agent

  • Platform-specific tools: Separate functions for LinkedIn, Instagram, and Twitter
  • Intelligent prompting: Tailored prompts for each platform's audience
  • Error handling: Robust transcript fetching with logging

Web Interface

  • Dark mode design: Modern, professional appearance
  • Responsive layout: Works on desktop and mobile
  • Real-time processing: Live updates and loading states
  • Content extraction: Smart parsing of AI-generated content

🎨 Content Strategy

The tool follows audispot254's content strategy:

  • Perspective: Content written from the viewpoint of someone who watched the video
  • Authenticity: Natural, genuine reactions to automotive content
  • Platform Optimization: Each platform receives content optimized for its audience
  • Engagement Focus: Content designed to drive comments, shares, and interactions

🐛 Troubleshooting

Common Issues

  1. "Could not fetch transcript" error:

    • Verify the YouTube video ID is correct
    • Check if the video has available transcripts/captions
    • Some videos may have transcripts disabled

  2. OpenAI API errors:

    • Verify your API key is correct in the .env file
    • Check your OpenAI account has available credits
    • Ensure the .env file is in the project root

  3. UV dependency issues:

    • Make sure UV is properly installed: pip install uv
    • Try recreating the virtual environment: uv venv --force
    • Reinstall dependencies: uv add -r requirements.txt

Error Logging

Check transcript_errors.log for detailed error information when transcript fetching fails.

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/new-feature)
  3. Commit your changes (git commit -am 'Add new feature')
  4. Push to the branch (git push origin feature/new-feature)
  5. Create a Pull Request

📄 License

This project is part of the AI-Agents repository.

🔗 Links

🙏 Acknowledgments

  • YouTube Transcript API by Jonas Depoix
  • OpenAI for GPT-4 API
  • Streamlit for the web framework
  • UV for modern Python dependency management

Made with for automotive content creators

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