Tube Genuis AI YouTube Content Generator

Quick Start Guide

1. Unzip the package and open the folder.
2. Run setup.sh (macOS/Linux) or setup.bat (Windows) to install everything automatically.
3. Start the app: python app.py
4. Open http://localhost:5000 in your browser.
5. Enter your YouTube topic, select tone and audience, and click Generate.
6. Copy the generated titles, descriptions, hashtags, and thumbnails for your YouTube videos.

Step 1: Enter your video topic, select tone and audience, then click Generate YouTube Content.

Step 2: The AI generates your content in seconds.

Step 3: Instantly copy your AI-generated titles, descriptions, hashtags, and thumbnail ideas.

Features

• Generate viral YouTube titles, descriptions, hashtags, and thumbnail ideas instantly
• Powered by Ollama AI (local LLM) for privacy and speed
• Modern, responsive web interface (mobile & desktop)
• SEO-optimized output for YouTube growth
• Customizable return policy for digital sales compliance
• Easy deployment to Render, Heroku, Railway, or your own server
• Google site verification & dynamic sitemap for SEO
• Professional blog and support sections included

Requirements

• Python 3.8+
• pip (Python package manager)
• Ollama (for local AI model inference) [Download]
• Git (for deployment, optional)
• Cloud account (Render, Heroku, or Railway) (optional for cloud deployment)

Installation

Local Installation (macOS/Linux/Windows)

1. Download or clone the project:
   git clone https://github.com/Divya-Goswami/yougen_ai_cc.git
2. Navigate to the project folder:
   cd yougen_ai_cc
3. Run the setup script:
   ./setup.sh (macOS/Linux)
   or
   setup.bat (Windows)
4. Start Ollama and ensure the required model is available (e.g., ollama run gemma:2b)
5. Run the app:
   python app.py
6. Open http://localhost:5000 in your browser

Integration with Existing Projects

You can integrate Tube Genuis AI into your existing Flask or Python web app by importing the main logic from app.py or by using the API endpoints (if you expose them). For advanced integration, see the code comments and README.md.

1. Copy the relevant functions or routes from app.py into your project.
2. Ensure all dependencies in requirements.txt are installed.
3. Optionally, run Tube Genuis AI as a standalone service and interact via HTTP requests.

How to Use Tube Genuis AI in Your Project

1. Follow the Quick Start steps above to get Tube Genuis AI running locally.
2. To use the AI content generator in your own app, send a POST request to / with topic, tone, and audience fields.
3. Example using Python requests:

import requests

data = {
    'topic': 'How to grow on YouTube',
    'tone': 'Educational',
    'audience': 'General'
}
response = requests.post('http://localhost:5000/', data=data)
print(response.text)

You can also copy the generated content from the web interface and use it in your YouTube uploads.

Configuration

Configuration Options

Return Policy

Configure your return policy for digital sales compliance and Google Search Console:

1. Open config.py and select your preferred return policy (30-day, 7-day, or no returns).
2. Or, set the environment variable RETURN_POLICY_TYPE (recommended for cloud):
   RETURN_POLICY_TYPE=money_back_30

Other Settings

• API keys: Not required (uses local Ollama model)
• SEO: Edit index.html meta tags for your brand
• Blog/Support: Edit app.py or templates/ as needed

Licensing

This product is licensed under the MIT License. You are free to use, modify, and distribute it in personal or commercial projects. See LICENSE.txt for details.

Exporting Documentation to PDF

To export this documentation as a PDF, open DOCUMENTATION.html in your browser and use the Print dialog (Ctrl+P or Cmd+P), then select “Save as PDF”.

Screenshots Folder

Place your screenshots in a folder named screenshots in the same directory as DOCUMENTATION.html. Use these filenames:

• screenshot_1.png
• screenshot_2.png
• screenshot_3.png
• screenshot_4.png

Open DOCUMENTATION.html in your browser to verify the images display correctly.

Deployment

Deploy to Render (Recommended)

1. Push your code to GitHub
2. Connect your repo to Render
3. Set environment variables (see RETURN_POLICY_CONFIG.md)
4. Click Deploy
5. Set up a custom domain if desired

Other Platforms

• Heroku: Use Procfile and heroku config:set
• Railway: Use project variables and deploy from GitHub
• Manual: Run python app.py on your server

Troubleshooting & FAQ

• App won’t start? Check Python version and dependencies (pip install -r requirements.txt).
• Ollama not found? Download and install from Ollama.com.
• Google Search Console errors? Make sure your return policy and sitemap are configured (see above).
• Need to reset? Delete venv/ and re-run setup.sh or setup.bat.
• Still stuck? Contact support below.

Support & Contact

For help, feature requests, or bug reports, contact:

• Email: tubegenuisai@zohomail.in
• GitHub Issues: Open an Issue

Changelog & Credits

• v1.0 – Initial release: AI YouTube content generator, blog, SEO, return policy config, Render/Heroku/Cloud support

MIT License. Powered by Ollama and Flask. Design inspired by YouTube and modern SaaS best practices.