Update app.py

app.py

@@ -29,46 +29,58 @@ def preprocess_image(image):
     return image
 
 # Streamlit file uploader
-uploaded_file = st.sidebar.file_uploader("Upload a wheat leaf image", type=["jpg", "jpeg", "png"])
+uploaded_file = st.file_uploader("Upload a wheat leaf image", type=["jpg", "jpeg", "png"])
 
 if uploaded_file is not None:
-    st.sidebar.subheader("Uploaded Image")
+    st.subheader("Uploaded Image")
     image = Image.open(uploaded_file)
-    st.sidebar.image(image, caption="Uploaded Image", use_container_width=True)
+    st.image(image, caption="Uploaded Image", use_container_width=True, width=500)
 
     # Preprocess the image
     processed_image = preprocess_image(image)
 
-    st.subheader("Prediction: With 97% Accuracy")
     # Perform prediction
     with st.spinner("Predicting..."):
         prediction = loaded_model.predict(processed_image)
         predicted_class = np.argmax(prediction, axis=1)[0]  # Get the class index
-        class_labels = ['0', 'MR', 'MRMS', 'MS', 'R', 'S']  # Update based on your classes
-        
+        class_labels = ['Healthy', 'Mild Rust (MR)', 'Moderate Rust (MRMS)', 'Severe Rust (MS)', 'Very Severe Rust (R)', 'Extremely Severe Rust (S)']
+
         st.header("Predicted Severity Class")
         
+        # Colorful headings and styled responses
         if predicted_class == 0:
-            st.markdown('<p style="color: green; font-size: 20px;">Healthy</p>', unsafe_allow_html=True)
+            st.markdown('<p style="color: #28a745; font-size: 22px; font-weight: bold;">Healthy</p>', unsafe_allow_html=True)
             st.write("The leaf appears healthy. There is no immediate action required. Continue monitoring as needed.")
         elif predicted_class == 1:
-            st.markdown('<p style="color: orange; font-size: 20px;">Mild Rust (MR)</p>', unsafe_allow_html=True)
-            st.write("Mild rust detected. Applying fungicides will help control further spread.")
+            st.markdown('<p style="color: #FFA500; font-size: 22px; font-weight: bold;">Mild Rust (MR)</p>', unsafe_allow_html=True)
+            st.write("Mild rust detected.")
+            st.write("1. Apply fungicides to control rust growth.")
+            st.write("2. Regularly monitor the leaf for further signs of infection.")
         elif predicted_class == 2:
-            st.markdown('<p style="color: #FFA500; font-size: 20px;">Moderate Rust (MRMS)</p>', unsafe_allow_html=True)
-            st.write("Moderate rust detected. Monitor regularly and treat with fungicides.")
+            st.markdown('<p style="color: #FF6347; font-size: 22px; font-weight: bold;">Moderate Rust (MRMS)</p>', unsafe_allow_html=True)
+            st.write("Moderate rust detected.")
+            st.write("1. Continue monitoring the leaf for any progression.")
+            st.write("2. Treat with fungicides as required.")
         elif predicted_class == 3:
-            st.markdown('<p style="color: #FF4500; font-size: 20px;">Severe Rust (MS)</p>', unsafe_allow_html=True)
-            st.write("Severe rust detected. Prompt fungicide application and continued monitoring are recommended.")
+            st.markdown('<p style="color: #FF4500; font-size: 22px; font-weight: bold;">Severe Rust (MS)</p>', unsafe_allow_html=True)
+            st.write("Severe rust detected.")
+            st.write("1. Apply fungicides promptly to control rust spread.")
+            st.write("2. Ensure regular monitoring to prevent further spread.")
         elif predicted_class == 4:
-            st.markdown('<p style="color: red; font-size: 20px;">Very Severe Rust (R)</p>', unsafe_allow_html=True)
-            st.write("Very severe rust detected. Intensive control measures and frequent monitoring are required.")
+            st.markdown('<p style="color: #dc3545; font-size: 22px; font-weight: bold;">Very Severe Rust (R)</p>', unsafe_allow_html=True)
+            st.write("Very severe rust detected.")
+            st.write("1. Implement intensive control measures.")
+            st.write("2. Apply fungicides multiple times.")
+            st.write("3. Frequent monitoring is essential.")
         elif predicted_class == 5:
-            st.markdown('<p style="color: darkred; font-size: 20px;">Extremely Severe Rust (S)</p>', unsafe_allow_html=True)
-            st.write("Extremely severe rust detected. Apply aggressive control strategies and seek expert advice.")
-        
+            st.markdown('<p style="color: #8B0000; font-size: 22px; font-weight: bold;">Extremely Severe Rust (S)</p>', unsafe_allow_html=True)
+            st.write("Extremely severe rust detected.")
+            st.write("1. Apply aggressive control strategies.")
+            st.write("2. Seek expert advice for advanced interventions.")
+            st.write("3. Frequent, close monitoring is critical.")
+
         confidence = np.max(prediction) * 100
-        st.write(f"**Confidence Level:** {confidence:.2f}%")
+        st.markdown(f'<p style="color: #17a2b8; font-size: 18px;">**Confidence Level:** {confidence:.2f}%</p>', unsafe_allow_html=True)
 
 # Footer
 st.info("MPHIL Final Year Project By Mr. Asim Khattak")