Update app.py

app.py

@@ -27,7 +27,7 @@ class GradioInference:
         self.yt = None
 
         # Initialize summary model for English
-        self.summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+        self.summarizer = pipeline("summarization", model="facebook/bart-large-cnn", truncation=True)
 
         # Initialize VoiceLabT5 model and tokenizer
         self.keyword_model = T5ForConditionalGeneration.from_pretrained(
@@ -41,7 +41,7 @@ class GradioInference:
         self.classifier = pipeline("text-classification", model="lxyuan/distilbert-base-multilingual-cased-sentiments-student", return_all_scores=False)
 
         # Initialize Multilingual summary model 
-        self.tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
+        self.tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_multilingual_XLSum", truncation=True)
         self.model = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
 
         # self.llm_tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b-instruct")
@@ -92,7 +92,7 @@ class GradioInference:
         
         # Perform summarization on the transcription
         transcription_summary = self.summarizer(
-            results["text"], max_length=150, min_length=30, do_sample=False
+            results["text"], max_length=256, min_length=30, do_sample=False, truncation=True
         )
 
         #### Prueba
@@ -215,7 +215,7 @@ class GradioInference:
         
         # Perform summarization on the transcription
         transcription_summary = self.summarizer(
-            results["text"], max_length=150, min_length=30, do_sample=False
+            results["text"], max_length=150, min_length=30, do_sample=False, truncation=True
         )
 
         ########################## PRUEBA LLM #################################
@@ -428,7 +428,7 @@ with block as demo:
 
 with block:
     gr.Markdown("### Video Examples")
-    gr.Examples(["https://www.youtube.com/shorts/xDNzz8yAH7I","https://www.youtube.com/watch?v=kib6uXQsxBA&pp=ygURc3RldmUgam9icyBzcGVlY2g%3D"], inputs=link)
+    gr.Examples(["https://www.youtube.com/shorts/xDNzz8yAH7I","https://www.youtube.com/watch?v=MnrJzXM7a6o&pp=ygURc3RldmUgam9icyBzcGVlY2g%3D"], inputs=link)
 
     gr.Markdown("### Audio Examples")
     gr.Examples(