Update Dockerfile

Dockerfile

@@ -1,26 +1,35 @@
+# Use the official Python image
 FROM python:3.10-slim
 
-# System dependencies
-RUN apt-get update && apt-get install -y build-essential && rm -rf /var/lib/apt/lists/*
+# Set environment variables to prevent Python from writing .pyc files and buffering stdout
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
 
-# Install Python deps first
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+# Create writable directories for nltk_data and huggingface_cache
+RUN mkdir -p /app/nltk_data && \
+    mkdir -p /app/huggingface_cache && \
+    chmod -R 777 /app/nltk_data && \
+    chmod -R 777 /app/huggingface_cache
 
-# Set environment variables
-ENV NLTK_DATA=/usr/local/nltk_data
-ENV HF_HOME=/usr/local/huggingface_cache
+# Set environment variables for NLTK and Hugging Face cache directories
+ENV NLTK_DATA=/app/nltk_data
+ENV HF_HOME=/app/huggingface_cache
 
-# Create writable directories
-RUN mkdir -p $NLTK_DATA $HF_HOME
+# Set working directory
+WORKDIR /app
 
-# Download NLTK, spaCy model, and sentence-transformers model at build time
-RUN python -m nltk.downloader punkt && \
-    python -m spacy download en_core_web_sm && \
-    python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
+# Copy requirements.txt into the container
+COPY requirements.txt /app/
 
-# Set working directory and copy app code
-WORKDIR /app
-COPY . .
+# Install Python dependencies
+RUN pip install --upgrade pip
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the FastAPI app code into the container
+COPY . /app/
+
+# Expose the port for the FastAPI app
+EXPOSE 7860
 
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
+# Run FastAPI app using uvicorn
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]