Update app.py

app.py

@@ -29,6 +29,7 @@ from nltk.probability import FreqDist
 from cleantext import clean
 import textract
 
+import urllib.request
 import nltk.corpus  
 from nltk.text import Text
 from io import StringIO
@@ -172,8 +173,12 @@ def getAnalysis(score):
   else:
     return 'Positive'
 
+#http://library.bjp.org/jspui/bitstream/123456789/2988/1/BJP-Election-english-2019.pdf
+url = "http://library.bjp.org/jspui/bitstream/123456789/2988/1/BJP-Election-english-2019.pdf"
+path_input = "./Bjp_Manifesto_2019.pdf'"
+urllib.request.urlretrieve(url, filename=path_input)
+
 
-os.system('mkdir temp')
 def analysis(Manifesto,Search):
   raw_party = Parsing(Manifesto)
   text_Party=clean_text(raw_party)
@@ -228,7 +233,7 @@ plot2=gr.outputs.Image(label='Word Cloud')
 plot3=gr.outputs.Image(label='Subjectivity')
 plot4=gr.outputs.Image(label='Frequency Distribution')
 
-io=gr.Interface(fn=analysis, inputs=[filePdf,Search_txt], outputs=[text,mfw,plot4,plot1,plot2,plot3], title='Manifesto Analysis',examples=[['/Bjp_Manifesto_2019.pdf',],['/Aap_Manifesto_2019.pdf',]],)
+io=gr.Interface(fn=analysis, inputs=[filePdf,Search_txt], outputs=[text,mfw,plot4,plot1,plot2,plot3], title='Manifesto Analysis',examples=[['./Bjp_Manifesto_2019.pdf',],)
 io.launch(debug=False,share=True)