Sa-m commited on
Commit
41f896c
1 Parent(s): 1517b97

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +21 -9
app.py CHANGED
@@ -201,13 +201,25 @@ def analysis(Manifesto,Search):
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  plt.ylabel('Counts')
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  plt.figure(figsize=(4,6))
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  df['Analysis on Polarity'].value_counts().plot(kind ='bar')
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- plt.savefig('./sentimentAnalysis.png')
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- plt.clf()
 
 
 
 
 
 
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  plt.figure(figsize=(4,6))
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  df['Analysis on Subjectivity'].value_counts().plot(kind ='bar')
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- plt.savefig('sentimentAnalysis2.png')
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- plt.clf()
 
 
 
 
 
 
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  wordcloud = WordCloud(max_words=2000, background_color="white",mode="RGB").generate(text_Party)
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  plt.figure(figsize=(4,3))
@@ -219,15 +231,15 @@ def analysis(Manifesto,Search):
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  fdist_Party=fDistance(text_Party)
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  fDistancePlot(text_Party)
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- img1=cv2.imread('/sentimentAnalysis.png')
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- img2=cv2.imread('/wordcloud.png')
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- img3=cv2.imread('/sentimentAnalysis2.png')
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  img4=cv2.imread('/distplot.png')
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  searchRes=concordance(text_Party,Search)
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  searChRes=clean(searchRes)
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  searChRes=searchRes.replace(Search,"\u0332".join(Search))
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- return searChRes,fdist_Party,img4,img1,img2,img3
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  Search_txt=gr.inputs.Textbox()
@@ -240,7 +252,7 @@ plot2=gr.outputs.Image(label='Word Cloud')
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  plot3=gr.outputs.Image(label='Subjectivity')
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  plot4=gr.outputs.Image(label='Frequency Distribution')
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- io=gr.Interface(fn=analysis, inputs=[filePdf,Search_txt], outputs=[text,mfw,plot4,plot1,plot2,plot3], title='Manifesto Analysis',examples=[['./Bjp_Manifesto_2019.pdf','india'],['./Aap_Manifesto_2019.pdf',],['./Congress_Manifesto_2019.pdf',]])
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  io.launch(debug=False,share=True)
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  plt.ylabel('Counts')
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  plt.figure(figsize=(4,6))
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  df['Analysis on Polarity'].value_counts().plot(kind ='bar')
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+ #plt.savefig('./sentimentAnalysis.png')
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+ #plt.clf()
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+ plt.tight_layout()
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+ buf = io.BytesIO()
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+ plt.savefig(buf)
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+ buf.seek(0)
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+ img1 = Image.open(buf)
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+ plt.clf()
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  plt.figure(figsize=(4,6))
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  df['Analysis on Subjectivity'].value_counts().plot(kind ='bar')
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+ #plt.savefig('sentimentAnalysis2.png')
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+ #plt.clf()
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+ plt.tight_layout()
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+ buf = io.BytesIO()
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+ plt.savefig(buf)
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+ buf.seek(0)
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+ img2 = Image.open(buf)
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+ plt.clf()
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  wordcloud = WordCloud(max_words=2000, background_color="white",mode="RGB").generate(text_Party)
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  plt.figure(figsize=(4,3))
 
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  fdist_Party=fDistance(text_Party)
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  fDistancePlot(text_Party)
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+ #img1=cv2.imread('/sentimentAnalysis.png')
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+ #img2=cv2.imread('/wordcloud.png')
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+ img3=cv2.imread('/wordcloud.png')
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  img4=cv2.imread('/distplot.png')
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  searchRes=concordance(text_Party,Search)
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  searChRes=clean(searchRes)
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  searChRes=searchRes.replace(Search,"\u0332".join(Search))
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+ return searChRes,fdist_Party,img1,img2,img3,img4
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  Search_txt=gr.inputs.Textbox()
 
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  plot3=gr.outputs.Image(label='Subjectivity')
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  plot4=gr.outputs.Image(label='Frequency Distribution')
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+ io=gr.Interface(fn=analysis, inputs=[filePdf,Search_txt], outputs=[text,mfw,plot1,plot2,plot3,plot4], title='Manifesto Analysis',examples=[['./Bjp_Manifesto_2019.pdf','india'],['./Aap_Manifesto_2019.pdf',],['./Congress_Manifesto_2019.pdf',]])
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  io.launch(debug=False,share=True)
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