🚀 ** AI Reel Generator** :- Create Amazing Instagram Reels with AI-powered Video Generation

The AI Reel Generator is a web-based application that uses artificial intelligence to generate high-quality Instagram reels. With this project, you can create stunning videos using a combination of images, music, and text-to-speech technology. The app is built using Flask as the backend framework and HTML/CSS for the frontend.

The project consists of several components, including:

1. Upload module: allows users to upload images and videos
2. Text-to-speech module: converts text into audio
3. Video generation module: generates a video using the uploaded images and audio
4. Gallery module: displays a gallery of generated videos

The AI Reel Generator is perfect for individuals and businesses looking to create engaging content for social media platforms, such as Instagram and TikTok.

✨ Features

1. Image and video upload: users can upload images and videos to create their reels
2. Text-to-speech integration: converts text into high-quality audio
3. Video generation: generates a video using the uploaded images and audio
4. Gallery display: displays a gallery of generated videos
5. Customizable settings: users can customize the video generation settings, such as video length and music
6. Error handling: handles errors and exceptions during the video generation process
7. Deployment: the app can be deployed on a variety of platforms, including Heroku and AWS
8. API integration: integrates with other services, such as ElevenLabs, for text-to-speech functionality
9. Responsive design: designed to be responsive and work well on desktop, tablet, and mobile devices
10. Secure uploads: uses secure uploads to ensure user data is protected

🧰 Tech Stack

Component	Technology
Frontend	HTML, CSS, Flask
Backend	Python, Flask
Text-to-speech	ElevenLabs
Storage	File system
Deployment	Heroku, AWS

📁 Project Structure

.
gallery.html
create.html
base.html
index.html
main.py
text_to_audio.py
style.css
gallery.css
create.css
generate_process.py
config.py
user_uploads/

⚙️ How to Run

1. Setup: install the required dependencies, such as Flask and ElevenLabs
2. Environment: set up the environment variables, such as ELEVENLABS_API_KEY
3. Build: run the build script to create the required files and folders
4. Deploy: deploy the app on a platform of your choice, such as Heroku or AWS

🧪 Testing Instructions

1. Unit testing: use a testing framework, such as Pytest, to write unit tests for the application
2. Integration testing: use a testing framework, such as Pytest, to write integration tests for the application
3. Manual testing: manually test the application to ensure it works as expected

📸 Screenshots

[Insert screenshots of the app in action]

📦 API Reference

[Insert API reference documentation]

👤 Author

• Name: [Hrusikesh Sahu]
• Email: [[email protected]]
• Linkedin: [https://www.linkedin.com/in/hrusikesh-sahu-895420300/]