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  1. requirements.txt +43 -21
requirements.txt CHANGED
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- gradio==4.44.0
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- torch>=2.2.0
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- numpy
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- soundfile
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- spaces
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- resampy==0.4.3
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- librosa==0.10.0
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- s3tokenizer
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- transformers==4.46.3
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- diffusers==0.29.0
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- omegaconf==2.3.0
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- resemble-perth==1.0.1
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- silero-vad==5.1.2
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- conformer==0.3.2
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- safetensors
 
 
 
 
 
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- # Optional language-specific dependencies
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- # Uncomment the ones you need for specific languages:
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- spacy_pkuseg # For Chinese text segmentation
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- pykakasi>=2.2.0 # For Japanese text processing (Kanji to Hiragana)
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- russian-text-stresser @ git+https://github.com/Vuizur/add-stress-to-epub
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- # dicta-onnx>=0.1.0 # For Hebrew diacritization
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: Realistic Voice Cloner 🎙️
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+ emoji: 🧠
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+ colorFrom: blue
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 4.44.0
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+ python_version: 3.10
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+ app_file: app.py
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+ hardware:
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+ - gpu
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+ tags:
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+ - text-to-speech
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+ - voice-cloning
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+ - huggingface
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+ - gradio
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+ - audio
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+ license: mit
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+ short_description: A neural voice cloning demo built with Gradio and Hugging Face Inference API.
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+ ---
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+ # 🎧 Realistic Voice Cloner
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+ This Hugging Face Space demonstrates a **neural voice cloning** pipeline built with:
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+ - **Gradio 4.44.0**
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+ - **Torch 2.2+**
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+ - **Transformers 4.46.3**
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+ - **Diffusers 0.29.0**
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+ - **Resemble-Perth**, **Silero-VAD**, and **Conformer**
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+
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+ ## 🚀 Features
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+ - Upload a short audio sample of a speaker
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+ - Enter any text to synthesize speech in that voice
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+ - Fast inference powered by **CUDA (GPU)**
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+ - Optional language segmentation (Chinese, Japanese, Russian, etc.)
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+
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+ ## 🧠 Tech Stack
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+ - **Backend:** PyTorch, Transformers, Diffusers
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+ - **Frontend:** Gradio
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+ - **Audio:** Librosa, SoundFile, Resampy
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+
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+ ## ⚙️ Requirements
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+ See `requirements.txt` for all dependencies:
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+ ```bash
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+ pip install -r requirements.txt