Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr 
 from PyPDF2 import PdfReader
 from transformers import pipeline
-from bark import SAMPLE_RATE, generate_audio, preload_models
+# from bark import SAMPLE_RATE, generate_audio, preload_models
 from IPython.display import Audio
 
 # Preload Bark models
@@ -10,7 +10,7 @@ preload_models()
 def summarize_generate_audio(files):
     summarizer = pipeline("summarization", model="stevhliu/my_awesome_billsum_model")
     summaries = []
-    audios = []
+#    audios = []
 
     for file in files:
         with open(file.name, "rb") as pdf_file:
@@ -20,16 +20,16 @@ def summarize_generate_audio(files):
                 text += page.extract_text() + "\n"
             summary = summarizer(text, max_length=50, min_length=10, do_sample=False)[0]['summary_text']
             summaries.append(summary)
-            audio_array = generate_audio(summary)
-            audios.append(audio_array)
-    return summaries, audios
+#            audio_array = generate_audio(summary)
+#            audios.append(audio_array)
+    return summaries, #audios
 
 iface = gr.Interface(
     fn=summarize_generate_audio,
     inputs=gr.UploadButton("Click to Upload a PDF", file_types=["pdf"], file_count="multiple"),
     outputs=[
         gr.Textbox(label="Summarized Text"),
-        gr.Audio(label="Generated Audio")
+#        gr.Audio(label="Generated Audio")
     ],
     title="PDF Summarizer & Audio Generator"
 )