update description and model

app.py

@@ -9,7 +9,7 @@ class_names = ['none','mild','severe']
 
 cwd = os.getcwd()
 outpath= os.path.join(cwd,"model")
-model_name = 'cross_event_ecuador_efficientnet_fine_tuned_1644001286.h5'
+model_name = 'cross_event_ecuador_haiti_efficientnet_fine_tuned_1644086357.h5'
 loaded_model = models.load_model(os.path.join(outpath,model_name))
 
 def _classifier(inp):
@@ -19,6 +19,10 @@ def _classifier(inp):
   return {class_names[i]:float(preds[i]) for i in range(len(class_names))}
 
 iface = gr.Interface(fn=_classifier, 
+                      title="Disaster damage assessment from social media image",
+                      description="This simple app allow users to load an image and assess the extent of damage cause by an earthquake",
+                      article="The severity of damage in an image is the extent of physical destruction shown in it. For this experiment we only consider three level of damages :severe damage,mild damage and no damage (none)",
+                      examples=['Haiti-Gingerbread-2.jpg','building_damage_100.jpg','building_damage_424.jpg'],
                      inputs=gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE)),
                      outputs=gr.outputs.Label()
                      )

model/{cross_event_ecuador_efficientnet_fine_tuned_1644001286.h5 → cross_event_ecuador_haiti_efficientnet_fine_tuned_1644086357.h5}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c60973e57eb73e52df3d83951cf900648a4552bbefc25cb47f9122424b13ef2
+oid sha256:8bf472540c7eaadfce6bdd6c6bf8990a17f71a3e536a6821c13c97d3406f4ae0
 size 130172176