Create app.py

app.py

@@ -0,0 +1,36 @@
+from PIL import Image
+import pytesseract
+import openai
+import gradio as gr
+import os
+
+# Load the API key from .env or environment variable
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def extract_receipt_data(image):
+    try:
+        raw_text = pytesseract.image_to_string(image)
+
+        response = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": "You extract structured data from receipts in JSON format with keys like 'Bank Name', 'Date', 'Items', 'Total', etc."},
+                {"role": "user", "content": f"Convert the following receipt text to JSON:\n\n{raw_text}"}
+            ]
+        )
+
+        return response['choices'][0]['message']['content']
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+ui = gr.Interface(
+    fn=extract_receipt_data,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Receipt OCR & Data Extractor",
+    description="Upload a receipt image and get structured JSON data extracted."
+)
+
+if __name__ == "__main__":
+    ui.launch()