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# Use an official Python runtime as a parent image
FROM python:3.9.13
# Set the working directory to /appchecker
WORKDIR /checkerpyresearch
# Copy the current directory contents into the container at /checkerpyresearch
COPY . /checkerpyresearch
# Upgrade pip
RUN pip install --upgrade pip
# Install system dependencies
RUN apt-get update && apt-get install -y \
tesseract-ocr \
tesseract-ocr-eng
# Install Python dependencies
RUN pip install -r requirements.txt
# Install the Hugging Face Transformers library
RUN pip install transformers
# Download and cache the Hugging Face model (replace 'your_model_name' with the actual model name)
RUN python -c "from transformers import AutoModelForTextClassification, AutoTokenizer; AutoModelForTextClassification.from_pretrained('your_model_name'); AutoTokenizer.from_pretrained('your_model_name')"
# Add Tesseract to PATH
ENV PATH="/usr/bin/tesseract:${PATH}"
# Make port 8501 available to the world outside this container
EXPOSE 8501
# Define environment variable
ENV NAME World
# Run app.py when the container launches
CMD ["streamlit", "run", "app.py"]
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