Update app.py

app.py

@@ -1,19 +1,21 @@
-import gradio as gr
+import gradio as gr  
+from gradio.components import File
 import pandas as pd
 from sklearn.linear_model import LogisticRegression
 
 def classify(data):
-    df = pd.read_csv(data) 
+    df = pd.read_csv(data)  
     X = df.drop('y', axis=1)
-    y = df['y']
+    y = df['y']   
     
     model = LogisticRegression()
-    model.fit(X, y)
+    model.fit(X, y)  
     
     return model.predict(X)
 
-demo = gr.Interface(fn=classify, 
-                    inputs=gr.inputs.File(type="csv"), 
-                    outputs="label") 
+demo = gr.Interface(fn=classify,    
+                    inputs=File(),
+                    outputs="label")
 
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()