Update app.py

app.py

@@ -1,10 +1,16 @@
+import gradio as gr
 from PyPDF2 import PdfReader
 from transformers import pipeline
-import gradio as gr
+from bark import SAMPLE_RATE, generate_audio, preload_models
+from IPython.display import Audio
+
+# Preload Bark models
+preload_models()
 
-def summarize_pdf_content(files):
+def summarize_generate_audio(files):
     summarizer = pipeline("summarization", model="stevhliu/my_awesome_billsum_model")
     summaries = []
+    audios = []
 
     for file in files:
         with open(file.name, "rb") as pdf_file:
@@ -14,13 +20,18 @@ def summarize_pdf_content(files):
                 text += page.extract_text() + "\n"
             summary = summarizer(text, max_length=50, min_length=10, do_sample=False)[0]['summary_text']
             summaries.append(summary)
-    return summaries
+            audio_array = generate_audio(summary)
+            audios.append(audio_array)
+    return summaries, audios
 
 iface = gr.Interface(
-    fn=summarize_pdf_content,
+    fn=summarize_generate_audio,
     inputs=gr.UploadButton("Click to Upload a PDF", file_types=["pdf"], file_count="multiple"),
-    outputs=gr.Textbox(label="Summarized Text"),
-    title="PDF Summarizer"
+    outputs=[
+        gr.Textbox(label="Summarized Text"),
+        gr.Audio(label="Generated Audio")
+    ],
+    title="PDF Summarizer & Audio Generator"
 )
 
 iface.launch()