Update app.py

app.py

@@ -27,43 +27,6 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
 
 
 
-def load_dict_picklefile(dictFile):
-    fp=open(dictFile,'rb')
-    lexicon=pkl.load(fp)
-    fp.close()
-    return lexicon,lexicon[' ']
-
-def preprocess_img(img):
-    if len(img.shape)>2:
-      img= cv2.cvtColor(img.astype('float32'), cv2.COLOR_BGR2GRAY)
-    height=img.shape[0]
-    width=img.shape[1]
-
-    if(width<300):
-      result = np.ones([img.shape[0], img.shape[1]*2])*255
-      result[0:img.shape[0],img.shape[1]:img.shape[1]*2]=img
-      img=result
-
-    img=cv2.resize(img, dsize=(800,100), interpolation = cv2.INTER_AREA)
-    img=(img-img.min())/(img.max()-img.min())
-    xx_pad = np.zeros((100, 800), dtype='float32')
-    xx_pad[:,:] =1
-
-    xx_pad = xx_pad[None, :, :]
-    img=img[None, :, :]
-    return img, xx_pad
-
-
-worddicts,_ = load_dict_picklefile('vocabulary.pkl')
-worddicts_r = [None] * len(worddicts)
-i=1
-for kk, vv in worddicts.items():
-    if(i<len(worddicts)):
-        worddicts_r[vv] = kk
-    else:
-        break
-    i=i+1
-
 # Create an instance of the model
 CALTEXT = CALTextModel.CALTEXT_Model(training=False)
 CALTEXT.load_weights('final_caltextModel/cp-0037.ckpt')