Add application file

app.py

@@ -53,15 +53,17 @@ def classify_image(img):
     pred,idx,probs = model.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-# def classify_image(img):
-#     arr = np.expand_dims(img, axis=0)
-#     arr = tf.keras.applications.mobilenet.preprocess_input(arr)
-#     prediction = model.predict(arr).flatten()
-#     return {labels[i]: float(prediction[i]) for i in range(45)}
+
 
 image = gr.inputs.Image(shape=(256, 256))
 label = gr.outputs.Label()
 examples = ['airplane_002.jpg','airplane_003.jpg','airport_020.jpg','airport_075.jpg','bridge_679.jpg','cloud_227.jpg','freeway_159.jpg','forest_235.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)
+intf.launch(inline=False)
+
+# def classify_image(img):
+#     arr = np.expand_dims(img, axis=0)
+#     arr = tf.keras.applications.mobilenet.preprocess_input(arr)
+#     prediction = model.predict(arr).flatten()
+#     return {labels[i]: float(prediction[i]) for i in range(45)}

contrastive_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e41dfba53749b1afcfa6ab10f2213a7f9ecdd9eb1dd6daefaf1854081e513f8
+size 115267972

requirements.txt

@@ -0,0 +1,3 @@
+tensorflow==2.9.0
+numpy
+ipywidgets

scene_labels.json

@@ -0,0 +1,47 @@
+[
+    "airplane",
+    "airport",
+    "baseball_diamond",
+    "basketball_court",
+    "beach",
+    "bridge",
+    "chaparral",
+    "church",
+    "circular_farmland",
+    "cloud",
+    "commercial_area",
+    "dense_residential",
+    "desert",
+    "forest",               
+    "freeway",               
+    "golf_course",           
+    "ground_track_field",   
+    "harbor",                
+    "industrial_area",       
+    "intersection",         
+    "island",               
+    "lake",                 
+    "meadow",                
+    "medium_residential",
+    "mobile_home_park",
+    "mountain",
+    "overpass",
+    "palace",
+    "parking_lot",
+    "railway",
+    "railway_station",
+    "rectangular_farmland",
+    "river",
+    "roundabout",
+    "runway",
+    "sea_ice",
+    "ship",
+    "snowberg",
+    "sparse_residential",
+    "stadium",
+    "storage_tank",
+    "tennis_court",
+    "terrace",
+    "thermal_power_station",
+    "wetland" 
+]