Update app.py

app.py

@@ -28,13 +28,12 @@ def get_img_prediction(imgpath):
     return y_pred_pro[0].tolist()
 
 
-def get_text_prediction(text,imgpath):
-    if text == '':
-        result = reader.readtext(imgpath,paragraph="False")
-        text = []
-        for i in result:
-            text.append(i[1])
-        text = " ".join(text)
+def get_text_prediction(imgpath):
+    result = reader.readtext(imgpath,paragraph="False")
+    text = []
+    for i in result:
+        text.append(i[1])
+    text = " ".join(text)
     t_pred = get_inference(text)[0]
     t_pred_c = []
     for c in t_pred:
@@ -70,7 +69,7 @@ if image_file is not None:
 
     with st.spinner('Predicting Label..'):
         i_pred = get_img_prediction(temp_file.name)
-        t_pred = get_text_prediction('',temp_file.name)
+        t_pred = get_text_prediction(temp_file.name)
         y_pred_both = pred_label_mean(i_pred,t_pred)
         y_pred = y_pred_both.index(max(y_pred_both))