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README.md
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title:
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sdk: gradio
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sdk_version: 5.
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app_file: app.py
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pinned: false
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license: mit
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short_description: Multilingual audio feedback summarizer
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: VoicePulse β Voice Feedback Summarizer
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emoji: π§
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colorFrom: yellow
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colorTo: pink
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sdk: gradio
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sdk_version: 5.32.1
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app_file: app.py
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pinned: false
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license: mit
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short_description: Multilingual audio feedback summarizer
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tags:
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- mcp-server-track
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- agent-demo-track
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# VoicePulse: Multilingual Voice Feedback Collector and Visualizer
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VoicePulse is a multilingual voice feedback summarizer built with π€ Hugging Face, Gradio, and open-source speech/translation models. Users can speak in Telugu, Hindi, Tamil, Kannada, or English. The app transcribes, translates (if needed), summarizes the feedback, and visualizes key insights using a dynamic word cloud. It also provides CSV export of all collected feedback.
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## π₯ Features
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- π€ Voice input in 5 languages (English, Telugu, Hindi, Tamil, Kannada)
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- π Auto-translation to English using Facebook NLLB
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- β¨ Summarization using DistilBART
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- βοΈ Word cloud generation of key terms
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- π CSV export of all feedback and summaries
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- π§ Sample audio playback for testing in all supported languages
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## π How to Use
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1. Speak your feedback using your microphone.
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2. Choose your spoken language from the dropdown.
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3. Click **Process Feedback**.
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4. View your summarized feedback and word cloud.
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5. Export all collected feedback to CSV if needed.
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6. Use sample buttons to try audio feedback in different languages.
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## π Tech Stack
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- **Gradio** β UI Interface
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- **Hugging Face Transformers** β ASR, translation, and summarization
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- **gTTS** β For generating test audio
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- **pydub + matplotlib + wordcloud** β Audio trimming and visualization
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## π¦ Dependencies
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Ensure you have these in your `requirements.txt`:
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```txt
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gradio
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transformers
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nltk
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wordcloud
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matplotlib
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pydub
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torch
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gtts
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soundfile
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```
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## π Tags
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`#gradio` `#huggingface` `#voice-feedback` `#multilingual` `#NLLB` `#speech-to-text` `#translation` `#summarization` `#data-viz`
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