[ADD] Summerize urls

app.py

@@ -1,22 +1,42 @@
 import gradio as gr
 from transformers import pipeline,AutoTokenizer, AutoModelForSeq2SeqLM
+from bs4 import BeautifulSoup
+from bs4.element import Comment
+from urllib.request import urlopen
+import urllib.request 
+from bs4 import BeautifulSoup
 
 def easyterms(text:str)->str:
-        print("In summerizing function of easyterms")
-        tokenizer = AutoTokenizer.from_pretrained("EasyTerms/etsummerizer_v2")
-        model = AutoModelForSeq2SeqLM.from_pretrained("EasyTerms/etsummerizer_v2")
-
-        inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
-        summary_ids = model.generate(inputs['input_ids'], attention_mask=inputs['attention_mask'], max_length=128, num_beams=4)
-        summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
-        return summary
+    print("In summerizing function of easyterms")
+    tokenizer = AutoTokenizer.from_pretrained("EasyTerms/etsummerizer_v2")
+    model = AutoModelForSeq2SeqLM.from_pretrained("EasyTerms/etsummerizer_v2")
+
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
+    summary_ids = model.generate(inputs['input_ids'], attention_mask=inputs['attention_mask'], max_length=128, num_beams=4)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+def get_paragaph(url:str)-> list:
+    parser = 'html.parser'  # or 'lxml' (preferred) or 'html5lib', if installed
+    html = urllib.request.urlopen(url)
+    # parsing the html file
+    soup = BeautifulSoup(html, parser, from_encoding=html.info().get_param('charset'))
+    samples = soup.findAll("p")
+    samples = [item.text for item in samples]
+    return samples
 
 def summerize(Option:str, Text:str)-> str:
     print(Option)
     if Option == "text":
         return easyterms(Text)
     else:
-        return "Input is a URL string"
+        paragraph = get_paragaph(Text)
+        result = []
+        for par in paragraph:
+            result.append(easyterms(par)
+        res = '\n'.join(data for data in result)
+        return res
+
+
 intro = gr.Markdown(
         '''
         <center><h1>A Legal document summerizer.</h1></span>