Update app.py

app.py

@@ -4,6 +4,8 @@ from transformers import TrOCRProcessor, VisionEncoderDecoderModel
 from PIL import Image
 
 #client = InferenceClient("models/microsoft/trocr-base-handwritten")
+processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-handwritten')
+        model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')
 
 def sepia(input_img):
     sepia_filter = np.array([
@@ -21,8 +23,6 @@ def sepia(input_img):
 ## required positional arguments: 'inputs' and 'outputs'
 def process_image(image):
     try:
-        processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-handwritten')
-        model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')
         pixel_values = processor(images=image, return_tensors="pt").pixel_values
         
         generated_ids = model.generate(pixel_values)
@@ -45,7 +45,7 @@ with gr.Blocks() as generated_output:
                      outputs=[output_img, sepia_values_text],
                      show_progress="full")
     with gr.Row():
-        gr.Interface(
+        output_img.change(
             fn=process_image,
             inputs=output_img,
             outputs=gr.Textbox(label="Recognized Text"),