Create app.py

app.py

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+import gradio as gr
+from PIL import Image
+import pytesseract
+from transformers import pipeline
+
+# Load LLM pipeline (small model for demo)
+llm = pipeline("text-generation", model="distilgpt2")
+
+def process_image(image):
+    text = pytesseract.image_to_string(Image.fromarray(image))
+    llm_output = llm(text, max_length=100, do_sample=True)[0]["generated_text"]
+    return f"OCR Text:\n{text}\n\nLLM Response:\n{llm_output}"
+
+gr.Interface(fn=process_image, 
+             inputs=gr.Image(type="numpy"), 
+             outputs="text", 
+             title="OCR + LLM Text Generator").launch()