Spaces:
Sleeping
Sleeping
Pin python-dotenv to version 1.0.0 for compatibility
Browse files- .dockerignore +15 -19
- README.md +11 -8
- adsnap-studio +7 -0
- adsnap-studio.pub +1 -0
- huggingface_requirements.txt +1 -1
.dockerignore
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*.onnx
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*.safetensors
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# Large files
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*.zip
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*.tar.gz
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*.ogg
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# Hugging Face specific
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.huggingface/
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*.onnx
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*.safetensors
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# SSH keys
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*_rsa.pub
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id_rsa*
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id_ed25519*
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id_ecdsa*
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# Large files
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*.zip
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*.ogg
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*.jpg
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*.jpeg
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README.md
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# π¨ AdSnap Studio
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A powerful Streamlit app for generating professional product ads using Bria AI's advanced image generation and manipulation APIs.
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- **Fixed Image Generation Failures**: Improved API response parsing and URL extraction logic
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- **Fixed Session State Persistence**: Resolved data loss issues when navigating between tabs
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- **Fixed Import Dependencies**: Updated all service imports and exports for proper module resolution
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### π¨ UI/UX Improvements:
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- **Enhanced Error Handling**: Added comprehensive error messages and debugging information
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- **Improved File Management**: Clean codebase organization with proper file naming conventions
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### π Security & Performance:
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- **Secure API Key Handling**: Masked input fields and proper environment variable management
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- **Optimized Audio Processing**: Efficient temporary file handling with automatic cleanup
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- **Content Moderation**: Built-in safety features for generated content
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- **Fallback Mechanisms**: Graceful degradation when APIs are unavailable
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## π€ Contributing
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1. Fork the repository
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2. Create your feature branch (`git checkout -b feature/amazing-feature`)
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3. Commit your changes (`git commit -m 'Add amazing feature'`)
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4. Push to the branch (`git push origin feature/amazing-feature`)
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5. Open a Pull Request
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## π License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## π Acknowledgments
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- [Bria AI](https://bria.ai) for their powerful image generation APIs
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- [Streamlit](https://streamlit.io) for the amazing web framework
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- [Ayush Singh](https://www.youtube.com/watch?v=yH1IdJAN7jA) for the inspiring YouTube tutorial that served as the foundation for the Voice-to-Image feature implementation
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---
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title: AdSnap Studio
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emoji: π¨
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colorFrom: blue
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colorTo: purple
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sdk: streamlit
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sdk_version: "1.32.0"
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app_file: streamlit_app.py
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pinned: false
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---
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# π¨ AdSnap Studio
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A powerful Streamlit app for generating professional product ads using Bria AI's advanced image generation and manipulation APIs.
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- **Fixed Image Generation Failures**: Improved API response parsing and URL extraction logic
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| 98 |
- **Fixed Session State Persistence**: Resolved data loss issues when navigating between tabs
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- **Fixed Import Dependencies**: Updated all service imports and exports for proper module resolution
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### π¨ UI/UX Improvements:
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- **Enhanced Error Handling**: Added comprehensive error messages and debugging information
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- **Improved File Management**: Clean codebase organization with proper file naming conventions
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### π Security & Performance:
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- **Secure API Key Handling**: Masked input fields and proper environment variable management
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- **Optimized Audio Processing**: Efficient temporary file handling with automatic cleanup
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- **Content Moderation**: Built-in safety features for generated content
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- **Fallback Mechanisms**: Graceful degradation when APIs are unavailable
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## π€ Contributing
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1. Fork the repository
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2. Create your feature branch (`git checkout -b feature/amazing-feature`)
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3. Commit your changes (`git commit -m 'Add amazing feature'`)
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4. Push to the branch (`git push origin feature/amazing-feature`)
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5. Open a Pull Request
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## π License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## π Acknowledgments
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- [Bria AI](https://bria.ai) for their powerful image generation APIs
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- [Streamlit](https://streamlit.io) for the amazing web framework
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- [Ayush Singh](https://www.youtube.com/watch?v=yH1IdJAN7jA) for the inspiring YouTube tutorial that served as the foundation for the Voice-to-Image feature implementation
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adsnap-studio
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-----BEGIN OPENSSH PRIVATE KEY-----
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b3BlbnNzaC1rZXktdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAAAMwAAAAtzc2gtZW
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QyNTUxOQAAACBe4GNrDzqL6MxQoTTMgTiKMhvX1kkMrZy7t6aDUdQ1OwAAAJgVqORdFajk
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XQAAAAtzc2gtZWQyNTUxOQAAACBe4GNrDzqL6MxQoTTMgTiKMhvX1kkMrZy7t6aDUdQ1Ow
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AAAEDowUYrJs5GBa2RRnA4rqRWD+DoOUrE/TIt2nvZYZfWUF7gY2sPOovozFChNMyBOIoy
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G9fWSQytnLu3poNR1DU7AAAAE2Rld21pa2VsYUBnbWFpbC5jb20BAg==
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-----END OPENSSH PRIVATE KEY-----
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adsnap-studio.pub
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ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIF7gY2sPOovozFChNMyBOIoyG9fWSQytnLu3poNR1DU7 [email protected]
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huggingface_requirements.txt
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librosa>=0.10.0
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numpy>=1.24.0
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tqdm>=4.65.0
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python-dotenv
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requests>=2.31.0
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Pillow>=10.0.0
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librosa>=0.10.0
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numpy>=1.24.0
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tqdm>=4.65.0
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python-dotenv==1.0.0
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requests>=2.31.0
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Pillow>=10.0.0
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