Delete app.py

app.py

@@ -1,33 +0,0 @@
-import gradio as gr
-from transformers import TrOCRProcessor, VisionEncoderDecoderModel
-from PIL import Image
-
-# Load the model and processor
-model_name = "microsoft/trocr-large-handwritten"
-processor = TrOCRProcessor.from_pretrained(model_name)
-model = VisionEncoderDecoderModel.from_pretrained(model_name)
-
-def ocr_recognition(image):
-    # Open the image
-    image = Image.open(image).convert("RGB")
-
-    # Process the image and generate text
-    pixel_values = processor(image, return_tensors="pt").pixel_values
-    generated_ids = model.generate(pixel_values)
-    
-    # Decode the output text
-    text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
-    
-    return text
-
-# Create Gradio interface
-iface = gr.Interface(
-    fn=ocr_recognition,
-    inputs=gr.Image(type="pil"),  # Ensures PIL image input
-    outputs="text",
-    title="Handwritten OCR Extraction",
-    description="Upload a handwritten image to extract text using TrOCR."
-)
-
-# Launch the Gradio app
-iface.launch()