Update app.py

app.py

@@ -140,7 +140,7 @@ def fDistancePlot(text2Party,plotN=15):
   plt.title('Frequency Distribution')
   plt.axis('off')
   plt.figure(figsize=(4,3))
-  fdistance.plot(plotN,color="#139487")
+  fdistance.plot(plotN)
   plt.tight_layout()
   buf = BytesIO()
   plt.savefig(buf)
@@ -164,7 +164,7 @@ def DispersionPlot(textParty):
   plt.axis('off')
   plt.title('Dispersion Plot')
   plt.figure(figsize=(4,3))
-  moby.dispersion_plot(word_Lst)
+  moby.dispersion_plot(word_Lst,color="#EF6D6D")
   plt.tight_layout()
   buf = BytesIO()
   plt.savefig(buf)
@@ -222,10 +222,8 @@ def analysis(Manifesto,Search):
   plt.title('Sentiment Analysis')
   plt.xlabel('Sentiment')
   plt.ylabel('Counts')
-  fig, ax = plt.subplots()
-  ax.set_facecolor("#2E2E2E")
   plt.figure(figsize=(4,3))
-  df['Analysis on Polarity'].value_counts().plot(kind ='bar')
+  df['Analysis on Polarity'].value_counts().plot(kind ='bar',color="#FF9F45")
   plt.tight_layout()
   buf = BytesIO()
   plt.savefig(buf)
@@ -234,7 +232,7 @@ def analysis(Manifesto,Search):
   plt.clf() 
   
   plt.figure(figsize=(4,3))
-  df['Analysis on Subjectivity'].value_counts().plot(kind ='bar')
+  df['Analysis on Subjectivity'].value_counts().plot(kind ='bar',color="#B667F1")
   plt.tight_layout()
   buf = BytesIO()
   plt.savefig(buf)