update return msg

Dockerfile

@@ -14,19 +14,12 @@ WORKDIR /app
 COPY --chown=user ./requirements.txt requirements.txt
 RUN pip install --no-cache-dir scikit-build
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
-RUN pip install 'git+https://github.com/facebookresearch/detectron2.git'
 
 
-# Copy application files
 COPY --chown=user . /app
 
-# Stage 2: CUDA and Detectron2
-# FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 as cuda
-
-# Use noninteractive mode for apt-get
 ENV DEBIAN_FRONTEND=noninteractive
 
-# Install system dependencies
 USER root
 RUN apt-get update && apt-get clean
 RUN apt-get update && apt-get install -y --fix-missing \
@@ -38,39 +31,13 @@ RUN apt-get update && apt-get install -y --fix-missing \
     wget \
     sudo \
     ninja-build
-
-
-# Link Python and Pip commands
-# RUN ln -sv /usr/bin/python3 /usr/bin/python && ln -sv /usr/bin/pip3 /usr/bin/pip
-
-# # Copy dependencies from the base stage
-# COPY --from=base /home/user/.local /home/user/.local
-# COPY --from=base /app /app
-
-# Install additional Python packages
 RUN pip install --no-cache-dir scikit-build
 # RUN pip install --no-cache-dir --upgrade -r requirements.txt
 RUN pip install --no-cache-dir tensorboard cmake onnx
-RUN pip install --no-cache-dir 'git+https://github.com/facebookresearch/fvcore'
-
-# # Clone Detectron2 repository
-# RUN git clone https://github.com/facebookresearch/detectron2 detectron2_repo
-
-# # Set environment variables for Detectron2
-# ENV FORCE_CUDA="1"
-# ARG TORCH_CUDA_ARCH_LIST="Kepler;Kepler+Tesla;Maxwell;Maxwell+Tegra;Pascal;Volta;Turing"
-# ENV TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST}"
-# ENV FVCORE_CACHE="/tmp"
-
-# # Install Detectron2 in editable mode
-# RUN pip install --no-cache-dir -e detectron2_repo
-
-# Set the working directory and environment
 USER user
 ENV HOME=/home/user
 COPY --chown=user . $HOME/app
 WORKDIR $HOME/app
 
-# Expose application port and set default command
 RUN ls -a
 CMD ["python", "app.py"]

app.py

@@ -197,6 +197,7 @@ def generate_report():
         file = request.files["file"]
         with open("uploaded_report.pdf", "wb") as f:
             f.write(file.read())
+    return jsonify({"message": "Something happened!."})
 
 
 if __name__ == "__main__":