Update app.py

app.py

@@ -6,6 +6,7 @@ import random
 from sentence_transformers import SentenceTransformer, util
 import nltk
 
+nltk.download("punkt")
 
 
 context = "To extract information from documents, use sentence similarity task. To classify sentiments, use text classification task. To do sentiment analysis, use text classification task. To detect masks from images, use object detection task. To extract name or address from documents use token classification task. To extract name or address from invoices, use token classification task. To build voice enabled applications, you can use automatic speech recognition task. You can retrieve information from documents using sentence similarity task. You can summarize papers using summarization task. You can convert text to speech using text-to-speech task. To detect language spoken in an audio, you can use audio classification task. To detect emotion in an audio, you can use audio classification task. To detect commands in an audio, you can use audio classification task. To decompose sounds in a recording, use audio-to-audio task. To answer questions from a document, you can use question answering task. To answer FAQs from your customers, you can use question answering task. To see if a text is grammatically correct, you can use text classification task. To augment your training data, you can use text classification task. To detect pedestrians, you can use object detection task."