Upload 3 files

app.py

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+import gradio as gr
+import pickle
+
+ridge_model = pickle.load(open("models/ridge.pkl","rb"))
+standard_scaler = pickle.load(open("models/scaler.pkl","rb"))
+
+
+def predict(temperature, rh, ws, rain, ffmc, dmc, isi, classes, region):
+    new_data_scaled = standard_scaler.transform([[temperature,rh,ws,rain,ffmc,dmc,isi,classes,region]])
+    result = ridge_model.predict(new_data_scaled) # result stores in list format
+    return result
+
+
+iface = gr.Interface(fn=predict, inputs=["text","text","text","text","text","text","text","text","text"], outputs="text")
+iface.launch()

models/ridge.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:930f7cbb41e9b30f7b6a3d7e11364229c9d30d56696a671ae6695ea2eff74e28
+size 496

models/scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8d60f389dd9c3b96fd55f370a2a1bb9327486ef937ab81d215256e2c5c2dfb74
+size 827