new file: app.py

app.py

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+import gradio as gr
+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+
+name = "chanelcolgate/trocr-base-printed_captcha_ocr"
+model = VisionEncoderDecoderModel.from_pretrained(name)
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-printed")
+
+
+def process_image(image):
+    # prepare image
+    pixel_values = processor(image, return_tensors="pt").pixel_values
+
+    # generate (no beam search)
+    generated_ids = model.generate(pixel_values)
+
+    # decode
+    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    return generated_text
+
+
+title = "Interactive demo: Captcha OCR"
+description = "Demo tracuumasothue captcha"
+
+interface = gr.Interface(fn=process_image,
+                         inputs="image",
+                         examples=[f"captcha-{i}.png" for i in range(10)],
+                         outputs="text",
+                         title=title,
+                         description=description).launch()

requirements.txt

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+transformers