Delete app.py

app.py

@@ -1,39 +0,0 @@
-import streamlit as st
-from upload import upload_file_to_vectara
-from query import process_queries
-import os
-
-# Ensure set_page_config is the first Streamlit command
-st.set_page_config(page_title="STC Bank Assistant", layout="centered")
-
-# Load external CSS
-with open("style.css") as f:
-    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
-
-# Streamlit UI
-st.markdown("""
-    # Welcome to the STC Bank Assistant
-    
-    🏡 **How may I help you?**
-    
-    #### Add additional files here
-""")
-
-# Fetch credentials from environment variables
-customer_id = os.getenv("VECTARA_CUSTOMER_ID", "")
-api_key = os.getenv("VECTARA_API_KEY", "")
-corpus_id = os.getenv("VECTARA_CORPUS_ID", "")
-corpus_key = os.getenv("VECTARA_CORPUS_KEY", "")
-
-uploaded_files = st.file_uploader("Upload PDF, DOCX, or XLSX files", type=["pdf", "docx", "xlsx"], accept_multiple_files=True)
-
-if uploaded_files and customer_id and api_key and corpus_id and corpus_key:
-    for file in uploaded_files:
-        response = upload_file_to_vectara(file, customer_id, api_key, corpus_key)
-        st.write(f"Uploaded {file.name}: {response}")
-
-    if st.button("Run Queries"):
-        results = process_queries(customer_id, api_key, corpus_key)
-        for question, answer in results.items():
-            st.subheader(question)
-            st.write(answer)