Automatic Speech Recognition
Safetensors
Chinese
whisper
gpric024 commited on
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updated readme

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  1. README.md +35 -33
README.md CHANGED
@@ -30,38 +30,7 @@ A Gradio-based web application for comparing multiple speech-to-text models side
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  ## 🚀 Quick Start
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- ### Option 1: Run Locally
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-
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- 1. **Clone the repository**
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- ```bash
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- git clone <your-repo-url>
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- cd stt_battle_arena
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- ```
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-
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- 2. **Create a virtual environment** (recommended)
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- ```bash
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- python -m venv venv
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-
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- # Windows
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- venv\Scripts\activate
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-
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- # Linux/macOS
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- source venv/bin/activate
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- ```
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-
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- 3. **Install dependencies**
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- ```bash
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- pip install -r requirements.txt
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- ```
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-
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- 4. **Run the application**
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- ```bash
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- python app.py
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- ```
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-
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- 5. **Open your browser** and navigate to `http://localhost:7860`
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-
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- ### Option 2: Run with Docker (GPU - Linux/Windows with NVIDIA)
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  For machines with NVIDIA GPUs:
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@@ -72,7 +41,7 @@ For machines with NVIDIA GPUs:
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  2. **Open your browser** and navigate to `http://localhost:7860`
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- ### Option 3: Run with Docker (CPU - Mac/Linux/Windows)
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  For Mac users or machines without NVIDIA GPUs:
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@@ -94,6 +63,39 @@ For Mac users or machines without NVIDIA GPUs:
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  > ⚠️ **Note**: CPU inference is significantly slower than GPU. Expect 10-30+ seconds per model depending on audio length.
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  ## 🐳 Docker Configuration
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  ### GPU Support (NVIDIA - Linux/Windows only)
 
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  ## 🚀 Quick Start
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+ ### Option 1: Run with Docker (GPU - Linux/Windows with NVIDIA)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  For machines with NVIDIA GPUs:
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  2. **Open your browser** and navigate to `http://localhost:7860`
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+ ### Option 2: Run with Docker (CPU - Mac/Linux/Windows)
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  For Mac users or machines without NVIDIA GPUs:
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  > ⚠️ **Note**: CPU inference is significantly slower than GPU. Expect 10-30+ seconds per model depending on audio length.
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+
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+ ### Option 3: Run Locally
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+
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+ 1. **Clone the repository**
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+ ```bash
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+ git clone <your-repo-url>
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+ cd stt_battle_arena
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+ ```
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+
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+ 2. **Create a virtual environment** (recommended)
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+ ```bash
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+ python -m venv venv
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+
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+ # Windows
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+ venv\Scripts\activate
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+
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+ # Linux/macOS
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+ source venv/bin/activate
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+ ```
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+
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+ 3. **Install dependencies**
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+
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+ 4. **Run the application**
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+ ```bash
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+ python app.py
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+ ```
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+
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+ 5. **Open your browser** and navigate to `http://localhost:7860`
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+
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+
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  ## 🐳 Docker Configuration
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  ### GPU Support (NVIDIA - Linux/Windows only)