Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import pipeline
 
-classifier = pipeline("text-classification", model="DistilBERT base uncased finetuned SST-2")
+classifier = pipeline("conversational", model="robinhad/gpt2-uk-conversational")
 def main():
     st.title("Text-classification")
 
@@ -14,4 +14,6 @@ def main():
           st.json(results)
 
 if __name__ == "__main__":
-    main()
+    main()
+    
+"""'audio-classification', 'automatic-speech-recognition', 'conversational', 'document-question-answering', 'feature-extraction', 'fill-mask', 'image-classification', 'image-segmentation', 'image-to-text', 'ner', 'object-detection', 'question-answering', 'sentiment-analysis', 'summarization', 'table-question-answering', 'text-classification', 'text-generation', 'text2text-generation', 'token-classification', 'translation', 'visual-question-answering', 'vqa', 'zero-shot-classification', 'zero-shot-image-classification', 'translation_XX_to_YY'"""