Update src/streamlit_app.py

src/streamlit_app.py

@@ -383,9 +383,12 @@ with col1:
     )
 
     # Store in session state only if a new file is uploaded
+    #if uploaded_file is not None:
+        #st.session_state['uploaded_image'] = Image.open(uploaded_file)
+    # Only update session state if a new file is uploaded
     if uploaded_file is not None:
-        st.session_state['uploaded_image'] = Image.open(uploaded_file)
-
+        if st.session_state['uploaded_image'] is None:
+            st.session_state['uploaded_image'] = Image.open(uploaded_file)
     # Display the uploaded image if available
     #if st.session_state['uploaded_image'] is not None:
        # st.image(st.session_state['uploaded_image'], caption="Uploaded Kolam", use_column_width=True)
@@ -428,8 +431,14 @@ with col1:
                 #st.session_state.encryption_key = encryption_key
                 
                 #st.success("✅ Analysis completed successfully!")
+    #if st.session_state['uploaded_image'] is not None:
+        #if st.button("🔍 Analyze Kolam Design", type="primary"):
+            #with st.spinner("Analyzing Kolam design..."):
     if st.session_state['uploaded_image'] is not None:
-        if st.button("🔍 Analyze Kolam Design", type="primary"):
+        st.image(st.session_state['uploaded_image'], caption="Uploaded Kolam", use_column_width=True)
+        
+        # Analysis button
+        if st.button("🔍 Analyze Kolam Design"):
             with st.spinner("Analyzing Kolam design..."):
                 # Process image
                 original, thresh, edges = analyzer.preprocess_image(
@@ -465,7 +474,9 @@ with col1:
 with col2:
     st.markdown("### 📊 Analysis Results")
     
-    if hasattr(st.session_state, 'analysis_complete') and st.session_state.analysis_complete:
+    #if hasattr(st.session_state, 'analysis_complete') and st.session_state.analysis_complete:
+    if st.session_state.analysis_complete:
+    # Use st.session_state.original_img, st.session_state.graph, etc.
         
         # Create tabs for different visualizations
         tab1, tab2, tab3, tab4 = st.tabs(["🖼️ Image Processing", "📈 Graph Analysis", "📊 Features", "🔐 Security"])