Create app.py

app.py

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+import gradio as gr
+import easyocr
+import numpy as np
+from PIL import Image
+import torch
+import spaces
+
+# Create dummy tensor to confirm GPU availability
+zero = torch.Tensor([0]).cuda()
+print("Torch is using:", zero.device)  # Should be 'cuda:0'
+
+# Declare reader outside the function (only once)
+reader = easyocr.Reader(['en'], gpu=True)
+
+@spaces.GPU  # Ensures this function runs on GPU
+def extract_text(image):
+    result = reader.readtext(np.array(image), detail=0)
+    text = "\n".join(result)
+    print("OCR complete. Text:", text)
+    return text
+
+iface = gr.Interface(
+    fn=extract_text,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="GPU OCR with EasyOCR",
+    description="Upload an image. OCR runs on GPU using EasyOCR + Hugging Face Spaces."
+)
+
+iface.launch()