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from gtts import gTTS |
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from pdfminer.high_level import extract_text |
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from transformers import pipeline |
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import gradio as gr |
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import os |
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summarizer=(pipeline(task='summarization')) |
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def find_abstract(input_text): |
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count=0 |
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for item in input_text.split("\n\n"): |
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count=count+1 |
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if item.lower()=="abstract": |
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break |
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return count |
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def pdf_to_text(file_obj): |
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text = extract_text(file_obj.name) |
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summaryPDF=summarizer(text.split("\n\n")[find_abstract(text)], max_length=20, min_length=5, do_sample=False) |
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myobj = gTTS(text=summaryPDF[0]["summary_text"], lang='en', slow=False) |
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myobj.save("test.wav") |
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return 'test.wav' |
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iface = gr.Interface(fn = pdf_to_text, |
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inputs = 'file', |
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outputs = 'audio', |
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title = 'PDF to Audio Application', |
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description = 'A simple application to convert PDF files in audio speech. Upload your own file, it must contain abstract.', |
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article = |
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'''<div> |
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<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> |
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</div>''', |
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) |
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iface.launch() |
