test with gradio_client

app.py

@@ -29,39 +29,30 @@ def predict(
 
     }
 
-    response = client.post(input_dict)
+    response = client.predict(input_dict)
 
     # r = requests.post(client, json=payload)
 
     return response
-#
-#
-#
-with gr.Blocks() as demo:
-
-    gr.Markdown("# Loan Status Classifier")
-
-    inputs = [
-        gr.Slider(1000, 100000, label="Loan Original Amount"),
-        gr.Slider(100, 2000, step=1, label='Credit Score Range (Lower)'),
-        gr.Slider(1000, 100000, step=10, label="Stated Monthly Income"),
-        gr.Slider(0, 1000, step=1, label='Number of Investors'),
-        gr.Slider(20, 5000, step=5, label="Monthly Loan Payment")
-
-    ]
-
-    # a = gr.Slider(1000,100000,label="Loan Amount")
-    # b = gr.Slider(100,2000,label="Credit Score")
-    # c = gr.Slider(1000,100000,label="Income")
-    # d = gr.Slider(0,1000,label="Investors")
-    # e = gr.Slider(20,5000,label="Monthly Payment")
-
-    output = gr.Textbox()
-
-    btn = gr.Button("Predict")
-
-    # btn.click(predict,[inputs],output)
-
-    gr.Interface(fn=predict, inputs=inputs, outputs=output)
 
-demo.launch()
+inputs = [
+    gr.Slider(1000, 100000, label="Loan Original Amount"),
+    gr.Slider(100, 2000, step=1, label='Credit Score Range (Lower)'),
+    gr.Slider(1000, 100000, step=10, label="Stated Monthly Income"),
+    gr.Slider(0, 1000, step=1, label='Number of Investors'),
+    gr.Slider(20, 5000, step=5, label="Monthly Loan Payment")
+
+]
+options = ['Current', 'Completed', 'ChargedOff']
+outputs = gr.Label()
+title = "Loan Status Classifier"
+description = (
+    "Enter the details of the loan to check the status of the loan."
+)
+gr.Interface(
+    fn=predict,
+    inputs=inputs,
+    outputs=outputs,
+    title=title,
+    description=description,
+).launch()