Create app.py

app.py

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+from gtts import gTTS
+from pdfminer.high_level import extract_text
+from transformers import pipeline
+import gradio as gr
+import os
+
+summarizer(pipeline(task='summarization'))
+
+def find_abstract(input_text):
+  count=0
+  for item in input_text.split("\n\n"):
+    count=count+1
+    if item=="Abstract":
+      break
+  return count
+
+
+def pdf_to_text(file_obj):
+    text = extract_text(file_obj.name)
+    summaryPDF=summarizer(text.split("\n\n")[find_abstract(text)], max_length=20, min_length=5, do_sample=False)
+    myobj = gTTS(text=summaryPDF[0]["summary_text"], lang='en', slow=False) 
+    myobj.save("test.wav") 
+    return 'test.wav'
+
+examples = [
+    [os.path.abspath("Article 11 Hidden Technical Debt in Machine Learning Systems.pdf")],
+]
+
+iface = gr.Interface(fn = pdf_to_text,
+                     inputs = 'file',
+                     outputs = 'audio', 
+                     title = 'PDF to Audio Application',
+                     description = 'A simple application to convert PDF files in audio speech. Upload your own file, or click one of the examples to load them.',
+                     article = 
+                        '''<div>
+                            <p style="text-align: center"> All you need to do is to upload the pdf file and hit submit, then wait for compiling. After that click on Play/Pause for listing to the audio. The audio is saved in a wav format.</p>
+                        </div>''',
+                     examples=examples
+                    )
+
+iface.launch()