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Update spacing in the readme
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README.md
20
README.md
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@ -24,8 +24,8 @@ Dockerized FastAPI wrapper for [Kokoro-82M](https://huggingface.co/hexgrad/Kokor
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The service can be accessed through either the API endpoints or the Gradio web interface.
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The service can be accessed through either the API endpoints or the Gradio web interface.
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1. Install prerequisites:
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1. Install prerequisites:
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- Install [Docker Desktop](https://www.docker.com/products/docker-desktop/)
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- Install [Docker Desktop](https://www.docker.com/products/docker-desktop/)
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- Clone the repository:
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- Clone the repository:
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```bash
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```bash
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git clone https://github.com/remsky/Kokoro-FastAPI.git
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git clone https://github.com/remsky/Kokoro-FastAPI.git
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cd Kokoro-FastAPI
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cd Kokoro-FastAPI
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@ -33,17 +33,17 @@ The service can be accessed through either the API endpoints or the Gradio web i
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2. Start the service:
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2. Start the service:
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- Using Docker Compose (Full setup including UI):
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- Using Docker Compose (Full setup including UI):
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```bash
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```bash
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cd docker/gpu # OR
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cd docker/gpu # OR
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# cd docker/cpu # Run this or the above
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# cd docker/cpu # Run this or the above
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docker compose up --build
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docker compose up --build
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```
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```
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Once started:
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Once started:
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- The API will be available at http://localhost:8880
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- The API will be available at http://localhost:8880
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- The UI can be accessed at http://localhost:7860
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- The UI can be accessed at http://localhost:7860
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- OR run the API alone using Docker (model + voice packs baked in):
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- OR run the API alone using Docker (model + voice packs baked in):
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```bash
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```bash
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docker run -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:latest # CPU
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docker run -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:latest # CPU
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docker run --gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:latest # Nvidia GPU
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docker run --gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:latest # Nvidia GPU
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@ -53,7 +53,7 @@ The service can be accessed through either the API endpoints or the Gradio web i
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3. Running the UI Docker Service:
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3. Running the UI Docker Service:
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- If you only want to run the Gradio web interface separately and connect it to an existing API service:
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- If you only want to run the Gradio web interface separately and connect it to an existing API service:
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```bash
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```bash
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docker run -p 7860:7860 \
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docker run -p 7860:7860 \
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-e API_HOST=<api-hostname-or-ip> \
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-e API_HOST=<api-hostname-or-ip> \
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@ -61,9 +61,9 @@ The service can be accessed through either the API endpoints or the Gradio web i
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ghcr.io/remsky/kokoro-fastapi-ui:v0.1.0
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ghcr.io/remsky/kokoro-fastapi-ui:v0.1.0
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```
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```
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- Replace `<api-hostname-or-ip>` with:
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- Replace `<api-hostname-or-ip>` with:
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- `kokoro-tts` if the UI container is running in the same Docker Compose setup.
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- `kokoro-tts` if the UI container is running in the same Docker Compose setup.
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- `localhost` if the API is running on your local machine.
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- `localhost` if the API is running on your local machine.
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4. Run locally as an OpenAI-Compatible Speech Endpoint
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4. Run locally as an OpenAI-Compatible Speech Endpoint
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