Update app.py

app.py

@@ -320,12 +320,12 @@ from transformers import pipeline, AutoProcessor, AutoModel
 # =======================================
 # 
 # ======================================= 
-def sentence_to_audio(summary_text):
+def sentence_to_audio(summary_txt):
     # Sentence 2 Speech
     processor = AutoProcessor.from_pretrained("suno/bark-small")
     model = AutoModel.from_pretrained("suno/bark-small")
     inputs = processor(
-        text=summary_text,
+        text=summary_txt,
         return_tensors="pt",
     )
     speech_values = model.generate(**inputs, do_sample=True)
@@ -333,10 +333,10 @@ def sentence_to_audio(summary_text):
     return sampling_rate, speech_values.cpu().numpy().squeeze()
 
 
-summary_txt="It is dangerous to think of machine learning as a free-to-use toolkit, as it is common to incur ongoing maintenance costs in real-world ML systems"
-sentence_to_audio(summary_txt)
+#summary_txt="It is dangerous to think of machine learning as a free-to-use toolkit, as it is common to incur ongoing maintenance costs in real-world ML systems"
+sentence_to_audio(summary_text)
 
-pdf_path=os.path.join(os.path.abspath(""), "hidden-technical-debt-in-machine-learning-systems-Paper")
+pdf_path=os.path.join(os.path.abspath(""), "hidden-technical-debt-in-machine-learning-systems-Paper.pdf")
 pdf_path2=os.path.join(os.path.abspath(""), "1812_05944.pdf")
 
 demo = gr.Interface(fn=sentence_to_audio, inputs="file", outputs="audio",examples=[pdf_path,pdf_path2])