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Added Dockerfile and start.sh for Hugging Face deployment: FastAPI on 7860, Streamlit on 8000
Browse files- Dockerfile +21 -0
- README.md +5 -5
- start.sh +0 -0
Dockerfile
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# Use official slim Python 3.12 image
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FROM python:3.12-slim
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# Set working directory inside the container
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WORKDIR /app
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# Copy all project files into the container
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COPY . /app
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# Ensure start.sh is executable
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RUN chmod +x /app/start.sh
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# Install required Python packages
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RUN pip install --no-cache-dir -r requirements.txt
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# Expose FastAPI on port 7860 and Streamlit on port 8000
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EXPOSE 7860
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EXPOSE 8000
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# Launch both servers using start.sh
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CMD ["/app/start.sh"]
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README.md
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### 2. Start the Frontend (Streamlit)
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```bash
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streamlit run app/app.py --server.port
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```
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Accessible at: [http://localhost:
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An interactive interface to interact with the quantum backend.
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```bash
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streamlit run app/app.py --server.port
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```
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URL: [http://localhost:
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---
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Use a Docker-based Space with this command in Dockerfile or runtime:
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```bash
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uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 & \
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streamlit run app/app.py --server.port
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```
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Push your repo to Hugging Face:
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### 2. Start the Frontend (Streamlit)
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```bash
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streamlit run app/app.py --server.port 8000
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```
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Accessible at: [http://localhost:8000](http://localhost:8000)
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---
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An interactive interface to interact with the quantum backend.
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```bash
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streamlit run app/app.py --server.port 8000
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```
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URL: [http://localhost:8000](http://localhost:8000)
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---
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Use a Docker-based Space with this command in Dockerfile or runtime:
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```bash
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uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 & \
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streamlit run app/app.py --server.port 8000
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```
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Push your repo to Hugging Face:
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start.sh
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File without changes
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