Updated app.py to v12

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import pandas as pd
+import os
 
 # Page configuration
 st.set_page_config(
@@ -48,20 +49,39 @@ tab1, tab2, tab3 = st.tabs(["📤 Upload & Analyze", "💬 Chat", "📊 About"])
 with tab1:
     st.header("📤 Upload and Analyze Data")
     
+    st.info("💡 Tip: For best results, use smaller files (< 10MB). Try CSV format if Excel gives issues.")
+    
     uploaded_file = st.file_uploader(
         "Upload a CSV or Excel file",
         type=["csv", "xlsx", "xls"],
-        help="Supported formats: CSV, Excel"
+        help="Supported formats: CSV, Excel (Max 200MB)"
     )
     
     if uploaded_file is not None:
-        st.success(f"✅ File uploaded: {uploaded_file.name}")
-        
         try:
-            if uploaded_file.name.endswith('.csv'):
-                df = pd.read_csv(uploaded_file)
-            else:
-                df = pd.read_excel(uploaded_file)
+            # Check file size
+            file_size = uploaded_file.size / (1024 * 1024)  # Convert to MB
+            
+            if file_size > 100:
+                st.warning(f"⚠️ File is {file_size:.2f}MB. Large files may take longer to process.")
+            
+            st.success(f"✅ File uploaded: {uploaded_file.name} ({file_size:.2f}MB)")
+            
+            # Read file with error handling
+            try:
+                if uploaded_file.name.endswith('.csv'):
+                    df = pd.read_csv(uploaded_file, on_bad_lines='skip')
+                else:
+                    df = pd.read_excel(uploaded_file, engine='openpyxl')
+            except Exception as read_error:
+                st.error(f"❌ Error reading file. Try converting to CSV first.")
+                st.info(f"Details: {str(read_error)[:100]}")
+                st.stop()
+            
+            # Validate dataframe
+            if df.empty:
+                st.error("❌ File is empty or has no readable data.")
+                st.stop()
             
             # Display data preview
             st.subheader("📋 Data Preview")
@@ -76,10 +96,17 @@ with tab1:
             with col2:
                 st.metric("Columns", df.shape[1])
             with col3:
-                st.metric("Memory", f"{df.memory_usage(deep=True).sum() / 1024:.2f} KB")
+                try:
+                    memory = df.memory_usage(deep=True).sum() / 1024
+                    st.metric("Memory", f"{memory:.2f} KB")
+                except:
+                    st.metric("Memory", "N/A")
             
             # Detailed statistics
-            st.write(df.describe().T)
+            try:
+                st.write(df.describe().T)
+            except:
+                st.info("Could not generate statistics for this data.")
             
             # Ask AI about the data
             st.subheader("❓ Ask AI About Your Data")
@@ -95,7 +122,8 @@ with tab1:
                 st.write(response)
         
         except Exception as e:
-            st.error(f"Error reading file: {e}")
+            st.error(f"❌ Error processing file: {str(e)[:100]}")
+            st.info("Try uploading a smaller file or converting to CSV format.")
 
 # ============================================================================
 # TAB 2: Chat
@@ -174,12 +202,16 @@ with tab3:
     - [Streamlit](https://streamlit.io/) - Web framework
     - [Pandas](https://pandas.pydata.org/) - Data analysis
     
-    ### 📖 Quick Tips
+    ### 📖 Troubleshooting
+    
+    **File upload fails?**
+    - Try converting Excel to CSV first
+    - Use smaller files (< 10MB)
+    - Check file format is valid
     
-    - Upload CSV or Excel files
-    - View data preview and statistics
-    - Ask specific questions about your data
-    - Questions about averages, trends, outliers work best
+    **Data preview is empty?**
+    - File may be corrupted
+    - Try opening in Excel and resaving as CSV
     
     ### 🔗 Links