Update Dockerfile

Dockerfile

@@ -1,64 +1,24 @@
-# Core dependencies
-streamlit==1.31.1
-fastapi==0.109.2
-uvicorn==0.27.1
-python-multipart==0.0.6
-python-dotenv==1.0.1
-aiofiles==23.2.1
-
-# Data processing and analysis
-pandas==2.2.0
-numpy==1.26.3
-scikit-learn==1.4.0FROM python:3.9-slim
+FROM python:3.10-slim
 
 WORKDIR /app
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
-    libffi-dev \
-    python3-dev \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy only requirements first to leverage Docker cache
+# Copy requirements first to leverage Docker cache
 COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Install Python dependencies with optimizations
-RUN pip install --no-cache-dir pip -U && \
-    pip install --no-cache-dir -r requirements.txt && \
-    pip cache purge
+# Download spaCy model
+RUN python -m spacy download en_core_web_sm
 
 # Copy the rest of the application
 COPY . .
 
-# Create necessary directories
-RUN mkdir -p audio_output sentiment_history
-
-# Download NLTK data
-RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
-
-# Expose the port Streamlit will run on
+# Expose the port Streamlit runs on
 EXPOSE 8501
 
 # Command to run the application
-CMD ["streamlit", "run", "app.py", "--server.address", "0.0.0.0"] 
-textblob==0.17.1
-vaderSentiment==3.3.2
-
-# Web scraping and parsing
-beautifulsoup4==4.12.2
-requests==2.31.0
-lxml==4.9.3
-
-# NLP and ML
-nltk==3.8.1
-transformers==4.37.2
-torch==2.2.0
-spacy==3.7.2
-
-# Visualization and audio
-plotly==5.18.0
-gTTS==2.5.0
-
-# Translation
-googletrans-py==4.0.0
+CMD ["streamlit", "run", "app.py", "--server.address=0.0.0.0"]