Update app.py

app.py

@@ -49,7 +49,7 @@ def prepare_catalog():
 def decision(user_input, type, catalog, product_name_catalog):
     # Initialize the model
     pipe_detect = pipeline("text-classification", model="matthewfarant/indobert-fertilizer-classifier", token = os.getenv('HF_MY_TOKEN'))
-    pipe_match = pipeline("text-classification", model="matthewfarant/indobert-fertilizer-matching", token = os.getenv('HF_MY_TOKEN'))
+    pipe_match = pipeline("text-classification", model="matthewfarant/autotrain-fertilizer-pair-classify", token = os.getenv('HF_MY_TOKEN'))
 
     # Extract formula
     user_input_formula = re.findall(r'\d{1,2}\s*[- ]\s*\d{1,2}\s*[- ]\s*\d{1,2}', user_input)
@@ -92,7 +92,7 @@ def decision(user_input, type, catalog, product_name_catalog):
 
         # Based on probability
 
-        catalog['Concat Input'] = user_input + ' [SEP] ' + catalog['Registered Product'].astype(str)
+        catalog['Concat Input'] = user_input + '[SEP]' + catalog['Registered Product'].astype(str)
 
         catalog['Similarity Score'] = catalog['Concat Input'].apply(lambda x: pipe_match(x)[0]['score'])