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Minor improvements to README
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README.md
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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
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- Direct text input or AI-assisted text generation.
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- Comparative analysis of different TTS
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- Simple voting mechanism for preferred outputs.
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- Random voice selection from multiple providers.
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- Real-time speech synthesis comparison.
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## Prerequisites
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- pip >=25.0
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- Virtual environment capability
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- API keys for Hume AI, Anthropic, and ElevenLabs
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- For a complete list of dependencies, see requirements.
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## Project Structure
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```
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watchfiles "python -m src.app" src
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```
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6. Test the application by navigating to the the localhost URL in your browser (e.g. localhost:7860 or http://127.0.0.1:7860)
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## User Flow
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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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- Simple voting mechanism for preferred outputs.
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## Prerequisites
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- pip >=25.0
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- Virtual environment capability
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- API keys for Hume AI, Anthropic, and ElevenLabs
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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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watchfiles "python -m src.app" src
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```
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6. Test the application by navigating to the the localhost URL in your browser (e.g. `localhost:7860` or `http://127.0.0.1:7860`)
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## User Flow
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