n0v33n
commited on
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7f4d90c
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Parent(s):
e789681
update
Browse files- Dockerfile +23 -1
- README.md +5 -4
Dockerfile
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@@ -1,5 +1,13 @@
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FROM python:3.12-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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libssl-dev \
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python3-dev \
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&& rm -rf /var/lib/apt/lists/*
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-
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RUN pip install --no-cache-dir -r requirements.txt
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EXPOSE 7860
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CMD ["python", "app.py"]
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# Use the official Python slim image as the base image
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FROM python:3.12-slim
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# Set the working directory in the container
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WORKDIR /app
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# Update pip to the latest version
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RUN pip install --upgrade pip
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# Install build dependencies for compiling Python packages
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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libssl-dev \
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python3-dev \
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&& rm -rf /var/lib/apt/lists/*
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# Copy the requirements.txt file into the container
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COPY requirements.txt .
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# Verify that requirements.txt exists (for debugging)
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RUN ls -la /app && test -f /app/requirements.txt || (echo "Error: requirements.txt not found in /app" && exit 1)
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# Install Python dependencies from requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the application code into the container
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COPY . .
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# Expose the port Gradio will run on (default is 7860)
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EXPOSE 7860
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# Command to run the Gradio app
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CMD ["python", "app.py"]
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README.md
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This is an agent created using Mistral models, designed to process climate-related documents, analyze images, perform JSON data analysis, and convert text to speech. It provides a multi-agent system for document processing, image analysis, JSON analysis, and text-to-speech functionalities, all integrated into a user-friendly Gradio interface.
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## Video Demo
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Below is an embedded YouTube video demonstrating the
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<div style="text-align: center; margin: 20px 0;">
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<iframe width="560" height="400" src="" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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## Features
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- **Document Processing**: Extract structured data from climate-related PDFs using OCR capabilities.
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This is an agent created using Mistral models, designed to process climate-related documents, analyze images, perform JSON data analysis, and convert text to speech. It provides a multi-agent system for document processing, image analysis, JSON analysis, and text-to-speech functionalities, all integrated into a user-friendly Gradio interface.
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## Video Demo
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Below is an embedded YouTube video demonstrating the MistyClimateAgent for the Hackathon:
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[](https://youtu.be/b9HGT9l5bcg)
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Click the image or [watch the demo video on YouTube](https://youtu.be/b9HGT9l5bcg).
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## Features
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- **Document Processing**: Extract structured data from climate-related PDFs using OCR capabilities.
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