Update Dockerfile

Dockerfile

@@ -1,12 +1,9 @@
 FROM python:3.10-slim
 
+# Set working directory
 WORKDIR /app
 
-# 1. Install System Dependencies (The Heavy Lifting)
-# build-essential: for compiling python libs
-# curl/git: standard tools
-# tesseract-ocr: The OCR engine for OCREnhancedPDFLoader
-# poppler-utils: Required by pdf2image to convert PDF pages to images
+# 1. Install System Dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
     curl \
@@ -16,20 +13,30 @@ RUN apt-get update && apt-get install -y \
     && rm -rf /var/lib/apt/lists/*
 
 # 2. Install Python Libraries
-COPY requirements.txt ./
+COPY requirements.txt .
 RUN pip3 install --no-cache-dir -r requirements.txt
 
-# 3. Download NLP Models (Bake them into the image)
-# Spacy model for your Chunkers
+# 3. Download NLP Models
 RUN python -m spacy download en_core_web_sm
-# NLTK data for your TextPreprocessor
 RUN python -m nltk.downloader stopwords wordnet omw-1.4
 
 # 4. Copy Application Code
-COPY src/ ./src/
+COPY . .
 
-# 5. Config
+# 5. Global Permissions Fix
+# We make the entire directory writable to ensure the Hugging Face user (1000)
+# has full access to create the database and log files.
+RUN chmod -R 777 /app
+
+# 6. CONFIGURATION (The Fix)
+# Force Streamlit to run on port 7860
+ENV STREAMLIT_SERVER_PORT=7860
+ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
+# Prevent Streamlit from trying to watch file changes (saves resources)
+ENV STREAMLIT_SERVER_FILE_WATCHER_TYPE=none
+
+# Expose the port so Docker knows about it
 EXPOSE 7860
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
-ENTRYPOINT ["streamlit", "run", "src/app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]
+# 7. Start the App
+ENTRYPOINT ["streamlit", "run", "app.py"]