Update app.py

app.py

@@ -1,45 +1,45 @@
-import pandas as pd
-import gradio as gr
-import joblib
-
-
-model=joblib.load('KNeighborsClassifier.pkl')
-
-
-
-def Students_Performance_Prediction_Model(Q,A,ME,ASS,Ag,FE,CG,T):
-    try:
-        input_data=pd.DataFrame({
-            'Quiz01 [10]':[Q],
-            'Assignment01 [8]':[A],
-            'Midterm Exam [20]':[ME],
-            'Assignment02 [12]':[ASS],
-            'Assignment03 [25]':[Ag],
-            'Final Exam [35]':[FE],
-            'Course Grade':[CG],
-            'Total [100]':[T]
-        })
-        prediction=model.predict(input_data)
-        if prediction[0]==0:
-            return 'G'
-        else:
-            return 'W'
-    except Exception as e:
-        return str(e)
-gr.Interface(
-    inputs=[
-        gr.Number(label='Quiz01 [10]'),
-        gr.Number(label='Assignment01 [8]'),
-        gr.Number(label='Midterm Exam [20]'),
-        gr.Number(label='Assignment02 [12]'),
-        gr.Number(label='Assignment03 [25]'),
-        gr.Number(label='Final Exam [35]'),
-        gr.Number(label='Course Grade'),
-        gr.Number(label='Total [100]')
-        
-    ],
-    fn=Students_Performance_Prediction_Model,
-    outputs=gr.Textbox(label='Prediction Risk'),
-    title='prediction Program',
-    description='This program for predict Score Risk of Students'
+import pandas as pd
+import gradio as gr
+import joblib
+
+
+model=joblib.load('KNeighborsClassifier.pkl')
+
+
+
+def Students_Performance_Prediction_Model(Q,A,ME,ASS,Ag,FE,CG,T):
+    try:
+        input_data=pd.DataFrame({
+            'Quiz01 [10]':[Q],
+            'Assignment01 [8]':[A],
+            'Midterm Exam [20]':[ME],
+            'Assignment02 [12]':[ASS],
+            'Assignment03 [25]':[Ag],
+            'Final Exam [35]':[FE],
+            'Course Grade':[CG],
+            'Total [100]':[T]
+        })
+        prediction=model.predict(input_data)
+        if prediction[0]==0:
+            return 'G'
+        else:
+            return 'W'
+    except Exception as e:
+        return str(e)
+gr.Interface(
+    inputs=[
+        gr.Number(label='Quiz01 [10]'),
+        gr.Number(label='Assignment01 [8]'),
+        gr.Number(label='Midterm Exam [20]'),
+        gr.Number(label='Assignment02 [12]'),
+        gr.Number(label='Assignment03 [25]'),
+        gr.Number(label='Final Exam [35]'),
+        gr.Number(label='Course Grade'),
+        gr.Number(label='Total [100]')
+        
+    ],
+    fn=Students_Performance_Prediction_Model,
+    outputs=gr.Textbox(label='Prediction Risk'),
+    title='prediction Program',
+    description='This program for predict Score Risk of Students'
 ).launch()