Update app.py

app.py

@@ -6,14 +6,7 @@ from transformers import Speech2TextProcessor, Speech2TextForConditionalGenerati
 from gradio.mix import Parallel, Series
 
 
-# model = Speech2TextForConditionalGeneration.from_pretrained("facebook/s2t-small-librispeech-asr")
-# processor = Speech2TextProcessor.from_pretrained("facebook/s2t-small-librispeech-asr")
-# inputs = processor(ds[0]["audio"]["array"], sampling_rate=ds[0]["audio"]["sampling_rate"], return_tensors="pt")
-# generated_ids = model.generate(inputs["input_features"], attention_mask=inputs["attention_mask"])
-# transcription = processor.batch_decode(generated_ids)
-
-
-desc = "Is this working or what??"
+desc = "Summarize your text! (audio transcription available soon)"
 
 def summarize(text):
   summ = gr.Interface.load('huggingface/google/pegasus-large')