test with ml

app.py

@@ -1,7 +1,9 @@
 import gradio as gr
+from huggingface_hub import InferenceClient
+
 # from huggingface_hub import InferenceClient
 # API_URL = "https://api-inference.huggingface.co/models/esteele/carlas-loan-classifier-model"
-# client = InferenceClient("esteele/carlas-loan-classifier-model")
+client = InferenceClient("esteele/carlas-loan-classifier-model")
 #
 
 def greet(name):
@@ -11,29 +13,55 @@ def greet(name):
 inface = gr.Interface(fn=greet, inputs="text", outputs="text")
 inface.launch()
 
-# def predict(a,b,c,d,e):
-#
-#     payload = {"inputs":[[a,b,c,d,e]]}
-#     response = client.post(json=payload)
-#
-#     # r = requests.post(client, json=payload)
-#
-#     return response
-#
-#
-#
-# with gr.Blocks() as demo:
-#
-#     gr.Markdown("# Loan Status Classifier")
-#
-#     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")
+def predict(
+        loan_original_amount,
+        credit_score_range_lower,
+        stated_monthly_income,
+        investors,
+        monthly_loan_payment,):
+
+    input_dict = {
+        'LoanOriginalAmount': loan_original_amount,
+        'CreditScoreRangeLower': credit_score_range_lower,
+        'StatedMonthlyIncome': stated_monthly_income,
+        'Investors': investors,
+        'MonthlyLoanPayment': monthly_loan_payment,
+
+    }
+
+    response = client.post(input_dict)
+
+    # r = requests.post(client, json=payload)
+
+    return response
 #
-#     output = gr.Textbox()
 #
-#     btn = gr.Button("Predict")
 #
-#     btn.click(predict,[a,b,c,d,e],output)
+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()

requirements.txt

@@ -1,2 +1,3 @@
 gradio
-huggingface_hub
+huggingface_hub
+pandas