Update app.py

app.py

@@ -9,6 +9,9 @@ import json
 processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-handwritten')
 model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')
 
+# Handle model initialization warnings
+model.eval()
+
 # Load feedback data
 feedback_data_path = "feedback_data.json"
 if os.path.exists(feedback_data_path):
@@ -48,14 +51,14 @@ with gr.Blocks() as demo:
     
     with gr.Tabs():
         with gr.TabItem("Recognize Handwriting"):
-            image_input = gr.Image(source="upload", tool="sketch", type="numpy", label="Draw or Upload an Image")
+            image_input = gr.Image(source="upload", tool="editor", type="numpy", label="Draw or Upload an Image")
             recognize_button = gr.Button("Recognize Handwriting")
             output_text = gr.Textbox(label="Recognized Text")
             
             recognize_button.click(recognize_handwriting, inputs=image_input, outputs=output_text)
         
         with gr.TabItem("Provide Feedback"):
-            feedback_image_input = gr.Image(source="upload", tool="sketch", type="numpy", label="Draw or Upload an Image")
+            feedback_image_input = gr.Image(source="upload", tool="editor", type="numpy", label="Draw or Upload an Image")
             corrected_text_input = gr.Textbox(label="Corrected Text")
             feedback_button = gr.Button("Submit Feedback")
             feedback_output = gr.Textbox(label="Feedback Status")