Upload app.py

app.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import gradio as gr
+from transformers import pipeline
+import requests
+from bs4 import BeautifulSoup
+
+
+
+# In[9]:
+
+
+pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+def get_abstract(url):
+    page = requests.get(url)
+    soup = BeautifulSoup(page.content, "html.parser")
+    abstract = soup.find(id="eng-abstract").text
+    return abstract
+
+def summarize(input):
+    abstract = get_abstract(input)
+    summary = pipe(abstract)
+    return summary[0]["summary_text"]
+
+demo = gr.Interface(
+    fn=summarize, 
+    inputs=gr.Textbox(placeholder="PubMed URL", label="PubMed URL"), 
+    outputs=gr.Textbox(placeholder="Your Summary will appear here", label="Summary"), 
+    title="PubMed Summarizer📝",
+    examples=["https://pubmed.ncbi.nlm.nih.gov/36258852/", "https://pubmed.ncbi.nlm.nih.gov/34747661/"])
+
+demo.launch()
+
+
+# In[ ]:
+
+
+
+