Update Dockerfile

Dockerfile

@@ -1,33 +1,16 @@
-# Base Image: We use a Node.js base image suitable for both Flowise and Python 
-FROM node:20-alpine
+FROM python:3.9  # Base image
 
-# User: Switch to the root user for installations
-USER root
-
-# Arguments for Flowise directories
-ARG FLOWISE_PATH=/usr/local/lib/node_modules/flowise
-ARG BASE_PATH=/root/.flowise
-ARG DATABASE_PATH=$BASE_PATH
-ARG APIKEY_PATH=$BASE_PATH
-ARG SECRETKEY_PATH=$BASE_PATH
-ARG LOG_PATH=$BASE_PATH/logs
-
-# Install dependencies for both Flowise and OLLAMA PHI 
-RUN apk add --no-cache git python3 py3-pip make g++ build-base cairo-dev pango-dev chromium \
-    && pip install flowise ollama 
-
-# Environment Variables for Flowise and OLLAMA
-ENV PUPPETEER_SKIP_DOWNLOAD=true
-ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium-browser
+WORKDIR /app
 
-# Configure Flowise directories 
-RUN mkdir -p $LOG_PATH $FLOWISE_PATH/uploads && chmod -R 777 $LOG_PATH $FLOWISE_PATH
+# Install dependencies
+COPY requirements.txt ./
+RUN pip install -r requirements.txt
 
-# Working Directory: Where the app code will reside
-WORKDIR /app
+# Copy your code
+COPY . ./  
 
-# Expose Ollama PHI's port
-EXPOSE 11434  
+# Expose the port used by Streamlit
+EXPOSE 8501 
 
-# Start Flowise and OLLAMA PHI (Ideally, use a process manager like Supervisord)
-CMD ["npx", "flowise", "start", "&", "ollama", "run", "phi"] 
+# Start the Streamlit app
+CMD ["streamlit", "run", "app.py"]