Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import pandas as pd
 import openpyxl
+import xlrd
 import docx
 from io import BytesIO
 from reportlab.pdfgen import canvas
@@ -67,24 +68,20 @@ if API_KEY:
         c.save()
         return output
 
-    # 🏠 Streamlit UI
-    st.title("📂 RAG + TinyLlama NLP File Manager")
+    # **📂 AI-Powered File Manager UI**
+    st.title("📂 AI-Powered File Manager with NLP & Excel Editor")
     st.write("Upload, edit, and manage `.docx`, `.xls` files with AI-powered NLP and full Excel tools.")
 
     # 📤 File Uploaders
-    uploaded_files = [None] * 4
-    file_types = ["docx", "xls", "docx", "xls"]
-
-    for i in range(4):
-        uploaded_files[i] = st.file_uploader(f"📄 Upload File {i+1} ({file_types[i]})", type=[file_types[i]])
+    uploaded_files = st.file_uploader("📄 Upload `.docx` or `.xlsx` Files", type=["docx", "xls", "xlsx"], accept_multiple_files=True)
 
     # ✏️ File Editors
     edited_docs = {}
     edited_excels = {}
 
-    for i, file in enumerate(uploaded_files):
+    for file in uploaded_files:
         if file:
-            st.subheader(f"📝 Editing File {i+1}: {file.name}")
+            st.subheader(f"📝 Editing File: {file.name}")
 
             if file.name.endswith(".docx"):
                 text = load_docx(file)
@@ -97,7 +94,7 @@ if API_KEY:
 
                 edited_docs[file.name] = edited_text
 
-            elif file.name.endswith(".xls"):
+            elif file.name.endswith(".xls") or file.name.endswith(".xlsx"):
                 xls = load_excel(file)
                 sheet_name = st.selectbox(f"📊 Select Sheet in {file.name}:", xls.sheet_names)
                 df = pd.read_excel(xls, sheet_name=sheet_name)