refactor: automate setup and streamline Docker deployment

Dockerfile

@@ -19,11 +19,8 @@ USER user
 # Install dependencies
 RUN pip install --user -r requirements.txt
 
-# Make the startup script executable
-RUN chmod +x startup.sh
-
 # Add the user's local bin directory to the PATH
 ENV PATH="/home/user/.local/bin:${PATH}"
 
-# Set the entrypoint to the startup script
-CMD ["./startup.sh"]
+# Set the entrypoint to the Streamlit app
+CMD ["streamlit", "run", "app.py"]

app.py

@@ -12,6 +12,20 @@ from helper import ROLE_ASSISTANT, AUTO_ANSWERS, sanitize
 from rag import retriever
 from dataclasses import dataclass
 from typing import List
+from database.setup_db import setup_database
+from rag.build_vector_store import build_vector_store
+
+# ============================================
+# APPLICATION SETUP
+# ============================================
+
+@st.cache_resource
+def setup_application():
+    """
+    Sets up the database and vector store on application startup.
+    """
+    setup_database()
+    build_vector_store()
 
 # ============================================
 # BACKEND INTEGRATION
@@ -92,6 +106,7 @@ def query_rag_pipeline(user_query: str, model: RAGModel, output_guardRails: Outp
 # ============================================
 
 def main():
+    setup_application()
     st.set_page_config(
         page_title="Knowledge Retrieval System",
         page_icon="🤖",

startup.sh

@@ -1,4 +0,0 @@
-#!/bin/bash
-
-# Run the Streamlit app
-streamlit run app.py