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README.md
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***
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[](https://huggingface.co/spaces/TheStinger/Ilaria_TTS) [](https://huggingface.co/spaces/TheStinger/Ilaria_TTS?duplicate=true) [](https://github.com/TheStingerX/Ilaria-TTS) [](https://discord.gg/aihub) [](https://ko-fi.com/ilariaowo)
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***
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<p align="center">
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<h1>Ilaria Audio Analyzer 💖</h1>
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</p>
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🎉 Welcome to Ilaria Audio Analyzer! 🎉
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This project leverages various libraries and modules to create a Graphical User Interface (GUI) for advanced audio analysis.
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It's primarily designed for use with HuggingFace Spaces. 🤗
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Ilaria Audio Analyzer is part of the Ilaria AI Suite wich includes various easy and powerful tools. 💖
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## 📦 Installation 📦
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To use this project, clone the original Space on Hugging Face.
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Make sure you restart it time to time to keep up with the new updates.
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## 🖥️ Usage 🖥️
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Once the dependencies are installed automatically, Hugging Face will use app.py to start the user interface.
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From there, you can utilize the various features of the project.
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## 🌟 Features 🌟
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Ilaria Audio Analyzer offers a range of features, including:
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- 📊 **Spectrogram Creation**:
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The code uses the matplotlib.pyplot module to create a spectrogram of the audio data.
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It uses the specgram function to generate the spectrogram and saves it to a PNG file.
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- 🌍 **User-Friendly Web Interface**:
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The code uses the gradio module to create an intuitive web interface.
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Users can easily upload an audio file, and the application will return the spectrogram of the audio and the audio file info.
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- 🖥️ **User-Friendly Web Interface**:
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Ilaria TTS uses the gradio module to create an intuitive web interface.
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Users can easily upload an image, and the application will return the upscaled and restored image.
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- 📂 **Efficient File Handling**:
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The code uses the os and tempfile modules for efficient file handling operations.
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It saves the spectrogram to a PNG file and returns the path of the PNG file.
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- 📝 **Detailed Audio Information**:
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The code provides detailed information about the audio file, including the file name, duration, bitrate, number of audio channels, samples per second, and bits per second.
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This information is presented in a well-formatted table for easy reading.
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## 🙏 Credits 🙏
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- [**Alex Murkoff**](https://github.com/alexlnkp) - For helping me fixing errors and usefult tips
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## 🤝 Contributing 🤝
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Interested in contributing to this project? Ilaria is always looking for collaborators.
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Feel free to open a pull request on Hugging Face.
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## 📄 License 📄
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This project is released under the `INCU` license.
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For more details, please check the license file.
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For further questions feel free to contact Ilaria.
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