change python alias

Dockerfile

@@ -1,5 +1,6 @@
 # FROM python:3.11-slim
 # Use HuggingFace's pre-built GPU image (includes CUDA, PyTorch, Transformers)
+# FROM huggingface/transformers-pytorch-amd-gpu:latest
 FROM huggingface/transformers-pytorch-gpu:latest
 
 
@@ -11,6 +12,16 @@ RUN apt-get update && apt-get install -y \
     curl \
     git \
     && rm -rf /var/lib/apt/lists/*
+    
+# Upgrade Python to 3.9
+# RUN apt-get update && \
+#     apt-get install -y python3.9 python3.9-distutils python3.9-dev && \
+#     update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1 && \
+#     curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9 && \
+#     rm -rf /var/lib/apt/lists/*
+
+# Verify
+RUN python3 -V
 
 # Copy requirements first (for better Docker layer caching)
 COPY requirements.txt ./
@@ -22,9 +33,9 @@ RUN pip3 install --no-cache-dir -r requirements.txt
 # This caches models in the Docker image for faster container startup
 # IMPORTANT: Set cache directory BEFORE downloading to ensure models are in /app/.cache/huggingface
 ENV HF_HOME=/app/.cache/huggingface
-ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
-ENV HF_DATASETS_CACHE=/app/.cache/huggingface
 ENV HF_HUB_CACHE=/app/.cache/huggingface
+ENV HF_DATASETS_CACHE=/app/.cache/huggingface
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
 ENV SENTENCE_TRANSFORMERS_HOME=/app/.cache/huggingface
 
 COPY download_models.py ./
@@ -32,7 +43,7 @@ COPY src/config/settings.yaml ./src/config/settings.yaml
 RUN mkdir -p /app/.cache/huggingface && \
     chmod -R 755 /app/.cache && \
     chmod -R 755 /app/.cache/huggingface && \
-    python download_models.py
+    python3 download_models.py
 
 # Copy all application files (excluding .dockerignore patterns)
 COPY . .
@@ -51,8 +62,8 @@ RUN mkdir -p /app/.streamlit && \
     
     
 ENV STREAMLIT_CONFIG_HOME=/app/.streamlit
-ENV STREAMLIT_USER_BASE_PATH=/app/.cache/streamlit
 ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
+ENV STREAMLIT_USER_BASE_PATH=/app/.cache/streamlit
 
 # Expose Streamlit port (HF Spaces maps to 7860 automatically)
 EXPOSE 8501
@@ -62,7 +73,6 @@ HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
     CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
 #temp developement commands
-RUN pip3 install plotly google-genai
 RUN python3 -c "import torch; print(torch.cuda.is_available(), torch.cuda.get_device_name(0))"
 # RUN mkdir /app/conversations && chmod -R 777 conversations
 # RUN mkdir /app/feedback && chmod -R 777 feedback