Update app.py

app.py

@@ -1,7 +1,68 @@
 import gradio as gr
+from autogluon.tabular import TabularPredictor
+from huggingface_hub import snapshot_download
+import pandas as pd
 
-def greet(name):
-    return "Hello " + name + "!!"
+model_dir = snapshot_download(repo_id="DeltaSatellite1/grade_prediction")
+predictor = TabularPredictor.load(model_dir)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+def grade_predict(gpa,t_gpa,cls_grade,a_date,due_date,field,field_avg,category,category_w,category_avg,dha,dbd,diff,field_prof,teacher_exp,wdp,incentive,confidence,attendence,participation,procrastination):
+    
+    df = pd.DataFrame([{
+        "weighted gpa":gpa,
+        "term gpa":t_gpa,
+        "class grade":cls_grade,
+        "assigned date":a_date,
+        "due date":due_date,
+        "field":field,
+        "field average (%)":field_avg,
+        "category":category,
+        "category weight":category_w,
+        "category average":category_avg,
+        "daily hours available":dha,
+        "days before due":dbd,
+        "difficulty":diff,
+        "field proficiency":field_prof,
+        "teacher experience": teacher_exp,
+        "work day positivity": wdp,
+        "incentive":incentive,
+        "confidence":confidence
+        "attendence":attendence,
+        "participation":participation,
+        "procrastination": procrastination
+    }])
+
+
+    return predictor.predict(df)
+
+
+demo = gr.Interface(
+    title="Grade Prediction Model",
+    description="idk",
+    fn=grade_predict, 
+    inputs=[
+        gr.Number(label="Weighted GPA"),
+        gr.Number(label="Term GPA"),
+        gr.Number(label="Class grade"),
+        gr.DateTime(label="Assigned date", include_time=True),
+        gr.DateTime(label="Due date", include_time=True),
+        gr.Textbox(label="Field"),
+        gr.Number(label="Field Average(%)"),
+        gr.Textbox(label="Category"),
+        gr.Number(label="Category weight"),
+        gr.Number(label="Category average"),
+        gr.Number(label="Daily hours available"),
+        gr.Number(label="Days before due"),
+        gr.Textbox(label="Difficulty"),
+        gr.Textbox(label="Field proficiency"),
+        gr.Textbox(label="Teacher experience"),
+        gr.Textbox(label="Work-day positivity"),
+        gr.Textbox(label="Incentive"),
+        gr.Textbox(label="Confidence"),
+        gr.Textbox(label="Attendence"),
+        gr.Textbox(label="Participation"),
+        gr.Textbox(label="Procrastination"),
+        
+    ],
+    outputs="Score")
 demo.launch()