Update app.py

app.py

@@ -3,10 +3,10 @@ import os
 from moviepy.editor import VideoFileClip
 from transformers import pipeline
 
-# Load ASR (Speech-to-Text) pipeline
+# ASR (Speech-to-Text) pipeline
 asr = pipeline(task="automatic-speech-recognition", model="distil-whisper/distil-small.en")
 
-# Load Summarization model
+# Summarization model
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
 def transcribe_and_summarize(video_file):
@@ -23,11 +23,11 @@ def transcribe_and_summarize(video_file):
         transcription_result = asr(audio_path, return_timestamps=True)
         transcribed_text = " ".join([segment['text'] for segment in transcription_result['chunks']])
 
-        # Summarize if long enough
+        # Summarize
         if len(transcribed_text.split()) < 50:
             summarized_text = "Text too short to summarize."
         else:
-            summary_result = summarizer(transcribed_text, max_length=100, min_length=30, do_sample=False)
+            summary_result = summarizer(transcribed_text, max_length=500, min_length=30, do_sample=False)
             summarized_text = summary_result[0]['summary_text']
 
         return transcribed_text, summarized_text