Update app.py

app.py

@@ -1,4 +1,3 @@
-import io
 import pandas as pd
 import numpy as np
 import gradio as gr
@@ -19,7 +18,6 @@ def process_file(file_obj):
     # Clean
     df = df.dropna(how="all")
 
-    # Check required columns
     required = {"CourseName","NPS","CompletionRate","LearnerSatisfaction","ContentQuality"}
     if not required.issubset(df.columns):
         return "Dataset missing expected columns (NPS, CompletionRate, etc.)", None, None
@@ -35,12 +33,17 @@ def process_file(file_obj):
     heat = px.imshow(df[["NPS","CompletionRate","LearnerSatisfaction","ContentQuality"]].T,
                      x=df["CourseName"], aspect="auto", title="Metrics Heatmap")
 
-    return df, bar, heat
+    return "Dataset processed successfully!", df, bar, heat
 
 demo = gr.Interface(
     fn=process_file,
     inputs=gr.File(label="Upload CSV/XLSX"),
-    outputs=[gr.Dataframe(), gr.Plot(), gr.Plot()],
+    outputs=[
+        gr.Textbox(label="Status"),   # for messages
+        gr.Dataframe(label="Cleaned Data"),
+        gr.Plot(label="Quality Score Bar"),
+        gr.Plot(label="Metrics Heatmap")
+    ],
     title="Course Quality Tracker"
 )