gptf2

app.py

@@ -31,7 +31,7 @@ def predict_sentiment(user_input, number_of_words, words_per_view):
 # Create the Gradio interface
 iface = gr.Interface(
     fn=predict_sentiment,
-    inputs=["textbox", gr.inputs.Number(label="Number of words", default=3000, min_value=1, max_value=10000), gr.inputs.Number(label="Words per view", default=30, min_value=1, max_value=100)],
+    inputs=["textbox", gr.inputs.NumberRange(minimum=1, maximum=10000, default=3000, label="Number of words"), gr.inputs.NumberRange(minimum=1, maximum=100, default=30, label="Words per view")],
     outputs="text",
     title="Sentiment Analysis",
     description="Enter a text and get the sentiment prediction"