Update app.py

app.py

@@ -126,6 +126,7 @@ def read_and_preprocess_dicom(file_path: str):
 
     return image, df_metadata.to_pandas()  # Convert to pandas DataFrame for Gradio compatibility
 
+'''
 # Define Gradio components
 input_component = gr.File(label="Input DICOM Data")
 output_component = gr.components.Image(type="numpy", label="Output Image")
@@ -164,20 +165,21 @@ def build_interface():
             file_path = gr.File(label="Input DICOM Data")
 
             with gr.Row():
-                dicom_image = gr.Image(type="pil", label="DICOM Image")
+                dicom_image = gr.Image(type="numpy", label="Output Image")
+                #dicom_image = gr.Image(type="pil", label="DICOM Image")
                 dicom_meta = gr.Dataframe(headers=None, label="Metadata")
 
             inputs = [file_path]
             outputs = [dicom_image, dicom_meta]
-            file_path.upload(fn=read_and_preprocess_dicom, inputs=inputs, outputs=outputs)
+            #file_path.upload(fn=read_and_preprocess_dicom, inputs=inputs, outputs=outputs)
 
             clear_button = gr.ClearButton(components=inputs + outputs, )
 
             example = gr.Examples(
                 ['samples/81_80.dcm','samples/110_109.dcm','samples/189_188.dcm'],
                 inputs=inputs,
-                #outputs=outputs,
-                outputs=dicom_image,
+                outputs=outputs,
+                #outputs=dicom_image,
                 #fn=read_and_preprocess_dicom,
                 fn=show_preds_image,
                 cache_examples=True
@@ -189,4 +191,4 @@ def build_interface():
 if __name__ == '__main__':
     demo = build_interface()
     demo.launch
-'''    
+