Create app.py

app.py

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+import gradio as gr
+import joblib
+
+def compute_trust_score(age, tcpa, adcopy, distance, lead_rate):
+
+  dict_weight = {
+      'age' : 0.001354,
+      'tcpa' : 0.372240,
+      'adcopy' : 0.296214,
+      'distance' : 0.320232,
+      'rate' : 0.009961
+  }
+
+  # Example computation for trust score (you can replace this with your actual computation)
+  data_age = age * dict_weight['age']
+  data_tcpa = tcpa * dict_weight['tcpa']
+  data_adcopy = adcopy * dict_weight['adcopy']
+  data_distance = distance * dict_weight['distance']
+  data_rate = lead_rate * dict_weight['rate']
+  
+  lgbm = joblib.load('lgbm_model.joblib')
+
+  trust_score = lgbm.predict([[data_age, data_tcpa, data_adcopy, data_distance, data_rate]])
+
+  return trust_score
+
+inputs = [
+    gr.Number(label="Age"),
+    gr.Number(label="TCPA Percentage"),
+    gr.Number(label="Adcopy Percentage"),
+    gr.Number(label="Mean Lead Distance"),
+    gr.Number(label="Daily Average")
+]
+
+output = gr.Textbox(label="Trust Score")
+
+iface = gr.Interface(fn=compute_trust_score, inputs=inputs, outputs=output, title="Trust Score Calculator")
+
+if __name__ == "__main__":
+    iface.launch()