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@@ -29,20 +29,9 @@ license: apache-2.0
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  3. **Text-to-Speech**: The generated story is converted into an audio file using a text-to-speech library.
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  4. **Output**: The app returns the audio file, which can be played directly in the interface.
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- ## Demo
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- You can try the app live on Hugging Face Spaces:
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- [![Hugging Face Spaces](https://huggingface.co/spaces/MoJaff/Mustalhim_AI/badge)](https://huggingface.co/spaces/MoJaff/Mustalhim_AI)
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- ---
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- ## Files
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- - `app.py`: The main application script that defines the Gradio interface and integrates the image captioning, story generation, and text-to-speech functionalities.
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- - `requirements.txt`: Lists the Python dependencies required for the project.
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- - `Dockerfile`: Defines the environment for deploying the app on Hugging Face Spaces.
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-
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- ---
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  ## Requirements
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  ---
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- ## Screenshots
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- ![App Screenshot](https://via.placeholder.com/600x400.png?text=App+Screenshot)
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- *Example of the Mustalhim interface.*
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-
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- ---
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- ## Contributing
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- Contributions are welcome! If you'd like to improve this project, please follow these steps:
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-
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- 1. Fork the repository.
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- 2. Create a new branch (`git checkout -b feature/YourFeature`).
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- 3. Commit your changes (`git commit -m 'Add some feature'`).
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- 4. Push to the branch (`git push origin feature/YourFeature`).
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- 5. Open a pull request.
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-
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- ---
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-
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- ## License
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- This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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- ---
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  ## Acknowledgments
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  - [Salesforce](https://salesforce.com) for the `blip-image-captioning-large` model.
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  - [ALLaM-AI](https://huggingface.co/ALLaM-AI) for the `ALLaM-7B-Instruct-preview` model.
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  ---
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  ## About the Name
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  For questions or feedback, feel free to reach out:
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  - **Name**: Mohammad Alkhatim
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- - **Email**: your-email@example.com
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  - **GitHub**: [MoJaff](https://github.com/MoJaff)
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  - **LinkedIn**: [Mohammad Alkhatim](https://www.linkedin.com/in/mohammad-alkhatim-9b1770266/)
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  - **Hugging Face**: [MoJaff](https://huggingface.co/MoJaff)
 
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  3. **Text-to-Speech**: The generated story is converted into an audio file using a text-to-speech library.
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  4. **Output**: The app returns the audio file, which can be played directly in the interface.
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  ## Requirements
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  ---
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  ## Acknowledgments
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  - [Salesforce](https://salesforce.com) for the `blip-image-captioning-large` model.
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  - [ALLaM-AI](https://huggingface.co/ALLaM-AI) for the `ALLaM-7B-Instruct-preview` model.
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  ---
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  ## About the Name
 
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  For questions or feedback, feel free to reach out:
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  - **Name**: Mohammad Alkhatim
 
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  - **GitHub**: [MoJaff](https://github.com/MoJaff)
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  - **LinkedIn**: [Mohammad Alkhatim](https://www.linkedin.com/in/mohammad-alkhatim-9b1770266/)
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  - **Hugging Face**: [MoJaff](https://huggingface.co/MoJaff)