Update app.py

app.py

@@ -29,7 +29,7 @@ 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(
@@ -80,7 +80,7 @@ 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
         )
 
         #### Resumen multilingue