Fix: Add Streamlit config and improve file upload methods

.streamlit/config.toml

@@ -0,0 +1,11 @@
+[server]
+enableCORS = false
+enableXsrfProtection = false
+maxUploadSize = 200
+fileWatcherType = "none"
+
+[browser]
+gatherUsageStats = false
+
+[global]
+dataFrameSerialization = "legacy"

app.py

@@ -5,6 +5,7 @@ import numpy as np
 import jellyfish  # For quick string similarity (Levenshtein, Jaro, etc.)
 import io
 import uuid
+from io import BytesIO
 
 from st_link_analysis import st_link_analysis, NodeStyle, EdgeStyle
 
@@ -39,8 +40,7 @@ uploaded_file = st.sidebar.file_uploader(
     type=["csv"],
     help="Drag and drop your CSV file here or click to browse",
     accept_multiple_files=False,
-    key="csv_uploader",
-    label_visibility="visible"
+    key="csv_uploader"
 )
 
 # File upload status info
@@ -57,23 +57,43 @@ if 'last_uploaded_file' not in st.session_state:
 
 # Enhanced file upload processing
 if uploaded_file is not None:
-    try:
-        st.sidebar.info("🔄 Processing uploaded file...")
-        
-        # Read the file directly - simplified approach
-        df = pd.read_csv(uploaded_file)
-        
-        # Store in session state
-        st.session_state.uploaded_data_df = df
-        st.session_state.last_uploaded_file = uploaded_file.name
-        
-        st.sidebar.success(f"✅ **File loaded successfully!**")
-        st.sidebar.success(f"📁 **{uploaded_file.name}** ({len(df)} rows, {len(df.columns)} columns)")
-        
-    except Exception as e:
-        st.sidebar.error(f"❌ **Error reading file:** {str(e)}")
-        st.sidebar.info("💡 Make sure your file is a valid CSV format")
-        st.session_state.uploaded_data_df = None
+    # Check if this is a new file
+    file_id = f"{uploaded_file.name}_{uploaded_file.size}"
+    
+    if 'current_file_id' not in st.session_state:
+        st.session_state.current_file_id = None
+    
+    # Only process if it's a new file
+    if st.session_state.current_file_id != file_id:
+        try:
+            st.sidebar.info("🔄 Processing uploaded file...")
+            
+            # Try reading the file with different methods
+            try:
+                # Method 1: Direct read
+                df = pd.read_csv(uploaded_file)
+            except:
+                # Method 2: Read as bytes then convert
+                bytes_data = uploaded_file.getvalue()
+                df = pd.read_csv(io.BytesIO(bytes_data))
+            
+            # Store in session state
+            st.session_state.uploaded_data_df = df
+            st.session_state.last_uploaded_file = uploaded_file.name
+            st.session_state.current_file_id = file_id
+            
+            st.sidebar.success(f"✅ **File loaded successfully!**")
+            st.sidebar.success(f"📁 **{uploaded_file.name}** ({len(df)} rows, {len(df.columns)} columns)")
+            
+        except Exception as e:
+            st.sidebar.error(f"❌ **Error reading file:** {str(e)}")
+            st.sidebar.info("💡 Try the 'Process Uploaded File' button below")
+            st.session_state.uploaded_data_df = None
+    else:
+        # File already processed
+        if st.session_state.uploaded_data_df is not None:
+            st.sidebar.success(f"✅ **File already loaded:** {uploaded_file.name}")
+            st.sidebar.info(f"📊 {len(st.session_state.uploaded_data_df)} rows, {len(st.session_state.uploaded_data_df.columns)} columns")
 
 # Manual processing button as backup
 if uploaded_file is not None and st.session_state.uploaded_data_df is None: