inital

trocr_small_handwritten/app.py

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+import gradio as gr
+from PIL import Image
+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+
+
+def inference(img):
+    pretrained_model_path = "trocr-small-handwritten"
+    image = img.convert("RGB")
+
+    processor = TrOCRProcessor.from_pretrained(pretrained_model_path)
+    model = VisionEncoderDecoderModel.from_pretrained(pretrained_model_path)
+    pixel_values = processor(images=image, return_tensors="pt").pixel_values
+
+    generated_ids = model.generate(pixel_values)
+    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    print(generated_text)
+
+title = "OCR:trocr-small-handwritten"
+description = "Gradio Demo for trocr-small-handwritten. To use it, simply upload your image, or click one of the examples to load them."
+article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center></p>"
+examples=[['ocr_example.jpg']]
+
+
+demo = gr.Interface(
+    fn=inference,
+    inputs=[gr.inputs.Image(type="pil")],
+    outputs=gr.outputs.Textbox(),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples)
+
+demo.launch()

trocr_small_handwritten/trocr-small-handwritten

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+Subproject commit 55eb2010aeaaa246defc329d42939e0253d55c99