Update app.py

app.py

@@ -15,6 +15,7 @@ whisper_model = whisper.load_model("tiny")
 
 # Load the text summarization model from Hugging Face
 summarizer = pipeline(task="summarization", model="facebook/bart-large-cnn")
+summarizer = pipeline("summarization", model="google/pegasus-xsum")
 
 # Function to transcribe and summarize the audio file
 def transcribe_and_summarize(audio):
@@ -24,6 +25,7 @@ def transcribe_and_summarize(audio):
 
     # Step 2: Summarize the transcription
     summary = summarizer(transcription, min_length=50, max_length=1000)
+
     summary_text = summary[0]['summary_text']
 
     return transcription, summary_text