Update app.py

app.py

@@ -54,10 +54,6 @@ def test_model(text, vectorizer):
     # Return the prediction
     return prediction
 
-# Fit the vectorizer on your training data to build the vocabulary
-train_data = [...]  # Replace [...] with your actual training data
-vectorizer.fit(train_data)
-
 # Create the Gradio interface
 iface = gr.Interface(fn=test_model, inputs=["text", vectorizer], outputs="text", title="Text Classification")
 iface.launch()