Create app.py

app.py

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+from transformers import MgpstrProcessor, MgpstrForSceneTextRecognition
+import requests
+from PIL import Image
+
+# Load processor and model
+processor = MgpstrProcessor.from_pretrained('alibaba-damo/mgp-str-base')
+model = MgpstrForSceneTextRecognition.from_pretrained('alibaba-damo/mgp-str-base')
+
+# Load image from a URL
+url = "https://i.postimg.cc/ZKwLg2Gw/367-14.png"
+image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
+
+# Process the image
+pixel_values = processor(images=image, return_tensors="pt").pixel_values
+
+# Perform inference
+outputs = model(pixel_values)
+
+# Decode the output
+generated_text = processor.batch_decode(outputs.logits, skip_special_tokens=True)
+
+# Print the recognized text
+print("Recognized Text:", generated_text[0])