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Text_to_emotion_classifier

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Elegbede commited on Sep 28, 2023

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876da5a

1 Parent(s): 6a6c2ba

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -23,7 +23,11 @@ iface = gr.Interface(
     fn=predict,
     inputs="text",
     outputs=gr.outputs.Label(num_top_classes = 6),  # Corrected output type
-    examples=[["I Love you."],["I hate you"], ["I am scared"], ["I am amazed"],]
     title="Emotion Classification",
     description="Predict the emotion probabilities of a text using a fine-tuned DistilBERT model."
 )

     fn=predict,
     inputs="text",
     outputs=gr.outputs.Label(num_top_classes = 6),  # Corrected output type
+    examples=[["I Love you."],
+              ["I hate you"],
+              ["I am scared"],
+              ["I am amazed"],
+              ],
     title="Emotion Classification",
     description="Predict the emotion probabilities of a text using a fine-tuned DistilBERT model."
 )