Install tensorflow through pip

Dockerfile

@@ -14,12 +14,13 @@ ENV STREAMLIT_HOME=/tmp
 ENV MPLCONFIGDIR=/tmp/mpl_cache
 RUN mkdir -p /tmp/mpl_cache
 
-COPY environment.yml ./
+COPY requirements.txt ./
 COPY src/ ./src/
 
 # Create environment and install dependencies
-RUN conda env create -f environment.yml
-RUN conda run -n appenv pip install scikit-learn opencv-python-headless streamlit-webrtc matplotlib huggingface-hub twilio
+RUN conda create -n appenv python=3.12.9 -y
+RUN conda run -n appenv conda install --file requirements.txt -y
+RUN conda run -n appenv pip install tensorflow keras scikit-learn opencv-python-headless streamlit-webrtc matplotlib huggingface-hub twilio
 
 # Expose Streamlit port
 EXPOSE 8501

environment.yml

@@ -1,14 +0,0 @@
-name: appenv
-channels:
-  - defaults
-  - conda-forge
-dependencies:
-  - python=3.12.9
-  - pip
-  - pip:
-      - tensorflow
-      - keras
-      - streamlit
-      - Pillow
-      - numpy
-      - python-dotenv