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Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -83,8 +83,8 @@ st.markdown("""
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  5. πŸ“„ **Text summarization** - Automatically summarize large volumes of text. [Example](https://huggingface.co/spaces/awacke1/Text-summarization)
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  6. ❓ **Question answering** - Answer questions posed in natural language. [Example](https://huggingface.co/spaces/awacke1/Question-answering)
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  7. πŸ€– **Sentiment-aware chatbots** - Use sentiment analysis to detect user emotions and respond appropriately.
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- 8. πŸ“Š **Text classification** - Classify text into different categories. [Example](https://huggingface.co/spaces/awacke1/Text-classification)
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- 9. πŸ’¬ **Text generation** - Generate natural language text. [Example](https://huggingface.co/spaces/awacke1/Text-generation)
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  10. πŸ”Ž **Topic modeling** - Automatically identify topics in a large corpus of text. [Example](https://huggingface.co/spaces/awacke1/Topic-modeling)
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  - Examples
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  1. NLP Video Summary: https://huggingface.co/spaces/awacke1/Video-Summary
 
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  5. πŸ“„ **Text summarization** - Automatically summarize large volumes of text. [Example](https://huggingface.co/spaces/awacke1/Text-summarization)
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  6. ❓ **Question answering** - Answer questions posed in natural language. [Example](https://huggingface.co/spaces/awacke1/Question-answering)
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  7. πŸ€– **Sentiment-aware chatbots** - Use sentiment analysis to detect user emotions and respond appropriately.
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+ 8. πŸ“Š **Text classification** - Classify text into different categories. [Example](https://huggingface.co/spaces/awacke1/sileod-deberta-v3-base-tasksource-nli)
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+ 9. πŸ’¬ **Text generation** - Generate natural language text. [Example](https://huggingface.co/spaces/awacke1/Sentence2Paragraph)
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  10. πŸ”Ž **Topic modeling** - Automatically identify topics in a large corpus of text. [Example](https://huggingface.co/spaces/awacke1/Topic-modeling)
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  - Examples
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  1. NLP Video Summary: https://huggingface.co/spaces/awacke1/Video-Summary