Update app.py

app.py

@@ -5,15 +5,21 @@ import requests
 from io import BytesIO
 
 # This is a placeholder for your image classification function
-def classify_image(image):
-    pipe = pipeline("image-classification", "SolubleFish/swin_transformer-finetuned-eurosat")
-    return pipe(image)
+def classify_image1(image):
+    pipe1 = pipeline("image-classification", "SolubleFish/swin_transformer-finetuned-eurosat")
+    return pipe1(image)
+def classify_image2(image):
+    pipe2 = pipeline("image-classification", "SolubleFish/image_classification_convnext")
+    return pipe2(image)
+def classify_image3(image):
+    pipe3 = pipeline("image-classification", "SolubleFish/image_classification_vit")
+    return pipe3(image)
 
 # Title
 st.title("Image Classification Web App")
 
 # Intro
-st.write("Please provide a Satellite image for classification ")
+st.write("Please provide a Satellite image for classification")
 
 # Image input via URL
 url = st.text_input("Image URL")
@@ -31,16 +37,45 @@ if uploaded_file is not None:
     image = Image.open(uploaded_file)
     st.image(image, caption='Uploaded Image', use_column_width=True)
 
-# Classification button
-if st.button("Classify Image"):
+
+# Create three columns
+col1, col2, col3 = st.columns(3)
+
+# Classification button for classify_image1
+if col1.button("Classify Image by swin"):
     if url or uploaded_file:
-        results = classify_image(image)
+        results = classify_image1(image)
         if results:
             # Use markdown to present the results
             for result in results:
-                st.markdown(f"**Class name:** {result['label']} \n\n **Confidence:** {str(format(result['score']*100, '.2f'))}"+"%")
+                col1.markdown(f"**Class name:** {result['label']} \n\n **Confidence:** {str(format(result['score']*100, '.2f'))}"+"%")
         else:
-            st.write("No results found.")
+            col1.write("No results found.")
     else:
-        st.write("Please provide an image for classification.")
+        col1.write("Please provide an image for classification.")
 
+# Classification button for classify_image2
+if col2.button("Classify Image by convnext"):
+    if url or uploaded_file:
+        results = classify_image2(image)
+        if results:
+            # Use markdown to present the results
+            for result in results:
+                col2.markdown(f"**Class name:** {result['label']} \n\n **Confidence:** {str(format(result['score']*100, '.2f'))}"+"%")
+        else:
+            col2.write("No results found.")
+    else:
+        col2.write("Please provide an image for classification.")
+
+# Classification button for classify_image3
+if col3.button("Classify Image by vit"):
+    if url or uploaded_file:
+        results = classify_image3(image)
+        if results:
+            # Use markdown to present the results
+            for result in results:
+                col3.markdown(f"**Class name:** {result['label']} \n\n **Confidence:** {str(format(result['score']*100, '.2f'))}"+"%")
+        else:
+            col3.write("No results found.")
+    else:
+        col3.write("Please provide an image for classification.")