Update app.py

app.py

@@ -82,9 +82,6 @@ def germanShepherdEvaluation():
     germanShepherdBeginSearch = st.sidebar.button('Enter your search parameter of interest for German Shepherd')
     germanShepherdBeginRandomSearch = st.sidebar.button('Evaluate Random German Shepherd Images')
 
-    LC = LoadCatalogue()
-    germanShepherdCategory = LC.download_catalogue_files(include_extra_features=True)
-
     germanShepherdNumberTotal = germanShepherdCategory['Total Number of German Shepherds']
 
     CAT = Catalogue(germanShepherdCategory)
@@ -97,17 +94,10 @@ def germanShepherdEvaluation():
             while (germanShepherdRandomIndex < germanShepherdMinimalIndex) or (germanShepherdRandomIndex > germanShepherdMaximumIndex):
                 germanShepherdRandomIndex = int(np.random.lognormal(12., 3.))
 
-            germanShepherdRawDecimalRandom = CAT.load_from_catalogue_indices(include_extra_features=False,
-                                                           inds_load=[ind_random])
-            
-        print('German Shepherd Image Index Used = ', CAT.query_ind)
-
         CAT.similarity_search(germanShepherdClosest=germanShepherdQuantitySimilarElements+1,
                               germanShepherdSimilarityMetric=similarity_inv,
                               germanShepherdModelVersion=model_version)
         
-        germanShepherdSimilarityValue = CAT.load_from_catalogue_indices(include_extra_features=True)
-        germanShepherdSimilarityValue['German Shepherd Proximity Value'] = CAT.similarity_score
         germanShepherdLinks = urls_from_coordinates(germanShepherdSimilarityValue, germanShepherdPixelValue=germanShepherdEvaluatePixel)
         germanShepherdSimilarityValue['Link to German Shepherd'] = np.array(germanShepherdLink)        
         germanShepherdNumberColumns = min(11, int(math.ceil(np.sqrt(germanshepherdNumNearest))))