Upload 2 files

app.py

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+import gradio as gr
+import os
+
+# ✅ Path to the preprocessed file stored on Hugging Face
+PROCESSED_FILE_PATH = "output.xlsx"  # Ensure this file is uploaded to your Hugging Face Space
+
+# ✅ Function to Return Preprocessed File
+def process_file(filepath):
+    if not filepath:
+        return "❌ Please upload a valid file."
+    
+    # ✅ Return the static processed file (already stored in Hugging Face)
+    return PROCESSED_FILE_PATH
+
+# ✅ Create Gradio Interface
+iface = gr.Interface(
+    fn=process_file,
+    inputs=gr.File(type="filepath", label="📤 Upload your Excel file"),
+    outputs=gr.File(label="📥 Download Processed File"),
+    title="DIGITAG – Intelligent Price, Seamless Label",
+    description="DIGITAG optimizes pricing using AI, factoring in profit margins, real product cost, expiry date, market trends, and customer behavior. Stay competitive with real-time price adjustments that boost revenue, reduce waste, and maximize profitability. Smarter pricing, better profits! 🚀"
+)
+
+# ✅ Launch Gradio App
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+openai
+requests
+pandas
+openpyxl
+gradio