Update app.py

app.py

@@ -1,3 +1,7 @@
+import gradio as gr
+from transformers import pipeline, PegasusForConditionalGeneration
+
+
 # Initialize the space
 summarizeryt = pipeline("summarization", model="facebook/bart-large-cnn")
 summarizerbg = pipeline("summarization")
@@ -6,7 +10,6 @@ summarizertx = PegasusForConditionalGeneration.from_pretrained("google/pegasus-x
 # How to use: YTVideoToText("https://www.youtube.com/watch?v=jQL0ZeHtXFc")
 def YTVideoToText(video_link):
     # installing & importing libraries
-    from transformers import pipeline
     from youtube_transcript_api import YouTubeTranscriptApi
 
     # fetching video transcript
@@ -39,7 +42,6 @@ def YTVideoToText(video_link):
 # How to use: postSummaryWithBart("https://ethereum.org/en/what-is-ethereum/")
 def postSummaryWithBart(blog_link):
     # importing libraries
-    from transformers import pipeline
     from bs4 import BeautifulSoup
     import requests
 
@@ -86,7 +88,7 @@ def postSummaryWithBart(blog_link):
 # How to use: abstractiveSummaryWithPegasus("""Sample text to be summarized""")
 def abstractiveSummaryWithPegasus(words):
     # importing & loading model
-    from transformers import PegasusForConditionalGeneration, PegasusTokenizer
+    from transformers import PegasusTokenizer
     tokenizer = PegasusTokenizer.from_pretrained("google/pegasus-xsum")
 
     # perform summarization
@@ -108,9 +110,6 @@ def process(uri, mode):
         raise ValueError("Invalid mode")
 
 
-import gradio as gr
-from gradio.mix import Series
-
 with gr.Blocks() as ui:
     gr.Markdown("""
     ## Permet de faire le résumé d'une video youtube ou d'un article de blog