feat: Use Docker SDK with fresh environment for Gradio 6.0.0.dev4
Browse filesFollowing Gradio team's recommendation to use a fresh virtual environment,
switching from Gradio SDK to Docker SDK to avoid HF Spaces infrastructure
conflicts with mcp package versions.
Changes:
- Add Dockerfile with fresh Python 3.10 environment
- Install gradio[mcp,oauth]==6.0.0.dev4 in Dockerfile (separate from requirements.txt)
- Change README frontmatter: sdk: docker (was sdk: gradio)
- Remove gradio from requirements.txt (now in Dockerfile)
This bypasses HF Spaces' hardcoded 'mcp==1.8.1' installation which
conflicts with Gradio 6's requirement of 'mcp>=1.21.0'.
Docker SDK gives us full control over installation order and ensures
a fresh environment as recommended by Gradio developers.
Expected result: Successful build with Gradio 6 and working MCP tools!
- Dockerfile +40 -0
- README.md +1 -2
- requirements.txt +1 -1
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# Use Python 3.10 base image
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FROM python:3.10-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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git-lfs \
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ffmpeg \
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libsm6 \
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libxext6 \
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cmake \
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rsync \
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libgl1 \
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&& rm -rf /var/lib/apt/lists/* \
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&& git lfs install
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# Copy requirements first (for better caching)
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COPY requirements.txt .
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# Fresh install of Gradio 6 as recommended by Gradio team
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# Install in a single command to avoid conflicts
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir "gradio[mcp,oauth]==6.0.0.dev4" && \
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pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Expose port
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EXPOSE 7860
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# Set environment variables
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ENV GRADIO_SERVER_NAME="0.0.0.0"
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ENV GRADIO_SERVER_PORT=7860
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# Run the application
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CMD ["python", "app.py"]
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@@ -3,8 +3,7 @@ title: TraceMind MCP Server
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emoji: 🤖
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colorFrom: blue
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colorTo: purple
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-
sdk:
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-
sdk_version: 5.49.1
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app_port: 7860
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pinned: false
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license: agpl-3.0
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emoji: 🤖
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colorFrom: blue
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colorTo: purple
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sdk: docker
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app_port: 7860
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pinned: false
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license: agpl-3.0
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@@ -1,5 +1,5 @@
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# Core dependencies
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gradio
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google-generativeai>=0.8.0
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datasets>=2.14.0
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pandas>=2.0.0
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# Core dependencies
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# Note: gradio is installed separately in Dockerfile to avoid HF Spaces conflicts
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google-generativeai>=0.8.0
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datasets>=2.14.0
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pandas>=2.0.0
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