Update app.py

app.py

@@ -16,7 +16,7 @@ import re
 import transformers
 import scipy
 from transformers import pipeline
-from bark import SAMPLE_RATE, generate_audio, preload_models
+#from bark import SAMPLE_RATE, generate_audio, preload_models
 #from scipy.io.wavfile import write as write_wav
 #from IPython.display import Audio
 import gradio as gr
@@ -69,15 +69,15 @@ def abstract_to_audio(insert_pdf):
 
     # Generate audio file that speaks the generated sentence using Bark
     # download and load all models
-    preload_models()
+    #preload_models()
 
     # generate audio from text
-    audio_array = generate_audio(tss_prompt)
-    return (SAMPLE_RATE, audio_array)
+    #audio_array = generate_audio(tss_prompt)
+    #return (SAMPLE_RATE, audio_array)
 
-    #tss_pipeline = pipeline("text-to-speech", "suno/bark")
-    #speech = tss_pipeline(tss_prompt)
-    #return (speech["sampling_rate"], speech["audio"])
+    tss_pipeline = pipeline("text-to-speech", "suno/bark")
+    speech = tss_pipeline(tss_prompt)
+    return (speech["sampling_rate"], speech["audio"])