app file

app.py

@@ -0,0 +1,21 @@
+from transformers import (
+    TrOCRConfig,
+    TrOCRProcessor,
+    TrOCRForCausalLM,
+    ViTConfig,
+    ViTModel,
+    VisionEncoderDecoderModel,
+)
+import gradio as gr
+
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
+model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
+def ocr(image):
+  pixel_values = processor(image, return_tensors="pt").pixel_values
+  generated_ids = model.generate(pixel_values)
+  generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+  return generated_text
+  
+
+demo = gr.Interface(fn=ocr, inputs="image",outputs= ["text"])
+demo.launch()