SaherMuhamed's picture
add the fine tuned BERT model with FAST API integrated in the Flask app
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FROM python:3.9-slim
WORKDIR /app
# Copy requirements first for better caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the entire project
COPY . .
# Create necessary directories if they don't exist
RUN mkdir -p /app/model /app/intent_classifier_model /app/intent_classifier_tokenizer
# Expose the port
EXPOSE 7860
# Set environment variables
ENV PYTHONPATH=/app
# Run the FastAPI application
CMD ["uvicorn", "model.api.api:app", "--host", "0.0.0.0", "--port", "7860"]