Create app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+from PyPDF2 import PdfReader
+from transformers import pipeline
+from gtts import gTTS
+import tempfile
+import os
+
+def extract_abstract_from_pdf(file):
+    reader = PdfReader(file.name)
+    first_page = reader.pages[0]
+    text = first_page.extract_text()
+    return text
+
+def summarize_text(text, model_name='sshleifer/distilbart-cnn-12-6'):
+    summarizer = pipeline("summarization", model=model_name)
+    summary = summarizer(text, max_length=75, min_length=20, do_sample=False)
+    first_sentence = summary[0]['summary_text'].split('.')[0] + '.'
+    return first_sentence
+
+def process_pdf_to_speech(file):
+    abstract = extract_abstract_from_pdf(file)
+    summary = summarize_text(abstract)
+    tts = gTTS(text=summary, lang='en')
+    with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as fp:
+        tts.save(fp.name)
+        return fp.name
+
+iface = gr.Interface(
+    fn=process_pdf_to_speech,
+    inputs=gr.inputs.File(type="file", label="Upload PDF"),
+    outputs=gr.outputs.Audio(type="file", label="Play Summary"),
+    title="PDF Abstract to Speech",
+    description="This app summarizes the abstract from a PDF and converts it to speech. Please upload a PDF with an abstract."
+)
+
+iface.launch()