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README.md
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title: Satellite Classification Dashboardemoji: 🛰️colorFrom: bluecolorTo: purplesdk: gradiosdk_version: 5.0.2app_file: app.pypinned: false
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🛰️ Satellite Classification Dashboard
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A Gradio-based application for classifying satellite images using pre-trained deep learning models. Upload a PNG, JPG, or JPEG image, select one or more models (Custom CNN, MobileNetV2, EfficientNetB0, DenseNet121), and view predictions with confidence scores and visualizations.
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Try the Live Demo: Visit https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio.
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cd Satellite-Classification-Gradio
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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pip install -r requirements.txt
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python app.py
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Open http://localhost:7860 in your browser.
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Dependencies
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Listed in requirements.txt:
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gradio==5.0.2
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tensorflow-cpu==2.15.0
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numpy==1.26.4
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pandas==2.2.2
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plotly==5.22.0
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Pillow==10.4.0
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requests==2.32.3
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protobuf==3.20.3
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Troubleshooting
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Missing configuration in README
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Cause: The README.md lacks the required YAML front matter.
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Fix:
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Ensure this README.md is saved in the repository root with exact filename README.md.
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Verify YAML syntax (no extra spaces, correct indentation).
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Push to repository:git add README.md
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git commit -m "Add YAML front matter to README.md"
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git push
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Restart the Space in the Settings tab.
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ModuleNotFoundError: No module named 'tensorflow'
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Cause: TensorFlow failed to install during the build.
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Fix:
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Verify requirements.txt includes tensorflow-cpu==2.15.0 and protobuf==3.20.3.
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Check build logs in the Space’s Settings tab.
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Test locally:python -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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python app.py
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If unresolved, add a Dockerfile:FROM python:3.9-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 7860
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CMD ["python", "app.py"]
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Switch the Space’s SDK to Docker and push the Dockerfile.
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Support
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Issues: Hugging Face Discussions
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Email: bhavithrass@gmail.com
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---
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title: "Satellite Classification Dashboard"
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emoji: "🛰️"
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colorFrom: "blue"
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colorTo: "purple"
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sdk: "gradio"
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sdk_version: "5.0.2"
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app_file: "app.py"
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pinned: false
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---
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🛰️ Satellite Classification Dashboard
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A Gradio-based application for classifying satellite images using pre-trained deep learning models. Upload a PNG, JPG, or JPEG image, select one or more models (Custom CNN, MobileNetV2, EfficientNetB0, DenseNet121), and view predictions with confidence scores and visualizations.
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## Quick Start
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Try the Live Demo: Visit https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio.
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### Local Setup
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```bash
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git clone https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio
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cd Satellite-Classification-Gradio
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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pip install -r requirements.txt
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python app.py
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