app.py

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()