Update app.py

app.py

@@ -87,7 +87,7 @@ def predict(classification_mode, image):
 
     labels = model.dls.vocab
     # Classification model prediction
-    image  = PILImage.create(image)
+    #image  = PILImage.create(image)
     pred, pred_idx, probs = model.predict(image)
 
     seg_img = None
@@ -132,11 +132,11 @@ description = """
 gr.Interface(fn=predict,
              inputs= [gr.Dropdown(choices=['Binary Classification', 'Multiclass Classification'], label='Classification Mode:', 
                                   info='Choose to classify between anomaly and no-anomaly OR between 12 different types of anomalies.'),
-                      gr.Image(label='Input infrared image: ')],
+                      gr.Image(type='pil', label='Input infrared image: ')],
              outputs=[gr.outputs.Label(num_top_classes=3, label='Detected:').style(container=False),
                       gr.Image(type='pil', label=' ').style(height=240, width=144),
                       gr.Textbox(label='Affected area:').style(container=False)],
              title='Solar Panel Anomaly Detector',
              description=description,
-             examples=[[], []],
+             #examples=[[], []],
              article= '<center>by <a href="https://www.linkedin.com/in/lzk/">Lee Zhe Kaai</a></center>').launch()