Update app.py

app.py

@@ -1,17 +1,10 @@
 import os
 import gradio as gr
-import pipeline
-import transformers
-
-
-#def image_classifier(inp):
-#    return {'cat': 0.3, 'dog': 0.7}
 
 def get_pipeline_prediction(pil_image):
-    # first get the pipeline output given the pil image
+    
     pipeline_output = od_pipe(pil_image)
-
-    #Then process the image using the pipeline output
+    
     processed_image = render_results_in_image(pil_image,
                                             pipeline_output)
     return processed_image
@@ -24,6 +17,4 @@ demo = gr.Interface(
                    type="pil")
 )
 
-
-#demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
-demo.launch()
+demo.close()