Spaces:
Running
Running
zach
commited on
Commit
·
9100090
1
Parent(s):
f420a37
Add Dockerfile and .dockerignore, update server_name arg for gradio launch
Browse files- .dockerignore +41 -0
- .gitignore +1 -1
- Dockerfile +24 -0
- README.md +4 -0
- src/app.py +1 -1
.dockerignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*.pyo
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*.pyd
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# Virtual environment
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venv/
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gradio-env/
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.python-version
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# Distribution / Packaging
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build/
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dist/
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*.egg-info/
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# Environment variables
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.env
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# Logs
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*.log
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# IDE settings (e.g., VSCode, PyCharm)
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.vscode/
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.idea/
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*.swp
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*.swo
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*.swn
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# Jupyter Notebook checkpoints (if applicable)
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.ipynb_checkpoints/
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# System files
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.DS_Store
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Thumbs.db
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# Python cache
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*.cache
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# Temp files
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static/audio/*
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.gitignore
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*.pyd
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# Virtual environment
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venv/
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gradio-env/
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.python-version
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# Distribution / Packaging
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*.pyd
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# Virtual environment
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.venv
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venv/
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.python-version
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# Distribution / Packaging
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Dockerfile
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# Use the official Python 3.11 slim image as the base image
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FROM python:3.11-slim
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# Install curl (if not already present) and install uv using its standalone installer
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RUN apt-get update && apt-get install -y curl && \
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curl -LsSf https://astral.sh/uv/install.sh | sh && \
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rm -rf /var/lib/apt/lists/*
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# Set the working directory in the container
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WORKDIR /app
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# Copy all project files into the container
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COPY . .
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# Pre-sync the project’s virtual environment and install dependencies
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# This command reads your pyproject.toml (and uv.lock if available) and creates a .venv with all required packages.
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RUN /root/.local/bin/uv sync
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# Gradio port 7860
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EXPOSE 7860
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# Define the command to run your application using uv.
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# uv run will automatically ensure that the built-in venv is active and dependencies are up to date.
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CMD ["/root/.local/bin/uv", "run", "python", "-m", "src.app"]
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README.md
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</div>
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## Overview
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Expressive TTS Arena is an open-source web application that enables users to compare text-to-speech outputs with a focus on expressiveness rather than just audio quality. Built with [Gradio](https://www.gradio.app/), it provides a seamless interface for generating and comparing speech synthesis from different providers, including Hume AI and ElevenLabs.
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## Features
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- Text generation using Claude 3.5 Sonnet by Anthropic for creating expressive content.
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- Direct text input or AI-assisted text generation.
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- Comparative analysis of different TTS outputs.
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- For a complete list of dependencies, see [requirements.txt](./requirements.txt).
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## Project Structure
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```
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Expressive TTS Arena/
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├── src/
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4. **Vote for Your Favorite:** Click "Vote for option A" or "Vote for option B" to choose your favorite.
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## License
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This project is licensed under the MIT License - see the [LICENSE.txt](LICENSE.txt) file for details.
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</div>
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## Overview
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Expressive TTS Arena is an open-source web application that enables users to compare text-to-speech outputs with a focus on expressiveness rather than just audio quality. Built with [Gradio](https://www.gradio.app/), it provides a seamless interface for generating and comparing speech synthesis from different providers, including Hume AI and ElevenLabs.
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## Features
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- Text generation using Claude 3.5 Sonnet by Anthropic for creating expressive content.
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- Direct text input or AI-assisted text generation.
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- Comparative analysis of different TTS outputs.
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- For a complete list of dependencies, see [requirements.txt](./requirements.txt).
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## Project Structure
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```
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Expressive TTS Arena/
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├── src/
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4. **Vote for Your Favorite:** Click "Vote for option A" or "Vote for option B" to choose your favorite.
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## License
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This project is licensed under the MIT License - see the [LICENSE.txt](LICENSE.txt) file for details.
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src/app.py
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if __name__ == "__main__":
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logger.info("Launching TTS Arena Gradio app...")
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demo = build_gradio_interface()
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demo.launch(allowed_paths=[AUDIO_DIR])
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if __name__ == "__main__":
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logger.info("Launching TTS Arena Gradio app...")
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demo = build_gradio_interface()
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demo.launch(server_name="0.0.0.0", allowed_paths=[AUDIO_DIR])
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