Update Dockerfile

Dockerfile

@@ -3,52 +3,41 @@ FROM python:3.10-slim
 # Set working directory to /app
 WORKDIR /app
 
-# 1. Set Environment Variables for Llama Build
-# This forces the installer to compile from source with OpenBLAS (CPU speed boost)
-ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1 \
-    CMAKE_ARGS="-DGGML_BLAS=ON -DGGML_OPENBLAS=ON" \
-    FORCE_CMAKE=1 \
-    STREAMLIT_SERVER_PORT=7860 \
-    STREAMLIT_SERVER_ADDRESS=0.0.0.0 \
-    STREAMLIT_SERVER_FILE_WATCHER_TYPE=none
-
-# 2. Install System Dependencies (Merged)
-# Added: cmake, g++, libopenblas-dev (For Llama)
-# Kept: tesseract-ocr, poppler-utils (For your document tools)
+# 1. Install System Dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
-    cmake \
-    g++ \
-    libopenblas-dev \
-    pkg-config \
     curl \
     git \
     tesseract-ocr \
     poppler-utils \
     && rm -rf /var/lib/apt/lists/*
 
-# 3. Install Python Libraries
-# We separate llama-cpp-python to ensure it builds with the flags set above
+# 2. Install Python Libraries
+# Copy requirements from root (since it's not in src)
 COPY requirements.txt .
+RUN pip3 install --no-cache-dir -r requirements.txt
 
-RUN pip3 install --no-cache-dir --upgrade pip && \
-    pip3 install --no-cache-dir llama-cpp-python && \
-    pip3 install --no-cache-dir -r requirements.txt
+# 3. Download NLP Models
+RUN python -m spacy download en_core_web_sm
+RUN python -m nltk.downloader stopwords wordnet omw-1.4
 
-# 4. Download NLP Models (Spacy/NLTK)
-RUN python3 -m spacy download en_core_web_sm
-RUN python3 -m nltk.downloader stopwords wordnet omw-1.4
-
-# 5. Copy Application Code
+# 4. Copy Application Code
+# This copies the 'src' folder and everything else into /app
 COPY . .
 
-# 6. Global Permissions Fix
-# Ensures write access for user data/uploads
+# 5. Global Permissions Fix
+# This ensures HF user has write access to /app/src/chroma_db if it gets created there
 RUN chmod -R 777 /app
 
-# 7. Expose the port
+# 6. CONFIGURATION
+# Force Streamlit to use the correct port
+ENV STREAMLIT_SERVER_PORT=7860
+ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
+ENV STREAMLIT_SERVER_FILE_WATCHER_TYPE=none
+
+# Expose the port
 EXPOSE 7860
 
-# 8. Start the App
-ENTRYPOINT ["streamlit", "run", "src/app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]
+# 7. Start the App
+# CRITICAL FIX: We tell Streamlit to run the file inside the 'src' folder
+ENTRYPOINT ["streamlit", "run", "src/app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]