ML-Lab / app.py
iamomtiwari's picture
Create app.py
14cb169 verified
# app.py
import gradio as gr
from arima_forecast import forecast
def run_forecast(comm_code):
pred, actual, mape = forecast(comm_code=int(comm_code))
result_df = actual.to_frame(name="Actual")
result_df["Forecast"] = pred
return result_df, f"MAPE (Accuracy): {round(mape*100, 2)}%"
iface = gr.Interface(
fn=run_forecast,
inputs=gr.Textbox(label="Enter COMM_CODE (e.g., 13011000)"),
outputs=[
gr.Dataframe(label="Forecast vs Actual"),
gr.Text(label="Accuracy")
],
title="Commodity Price Forecast (ARIMA)",
description="Enter a commodity code to forecast next 6 months using ARIMA."
)
iface.launch()