Update app.py

app.py

@@ -28,14 +28,13 @@ all_stopwords.extend(extra_stopwords)
 
 ########### GET CLAIMED TRAINED MODEL ###########
 auth_token = os.environ.get("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")
-model_path = os.environ.get("EmicoBinsfinder/CapybaraProper")
-tokenizer = LlamaTokenizer.from_pretrained("EmicoBinsfinder/CapybaraProper", use_auth_token=auth_token)
+#model_path = os.environ.get("EmicoBinsfinder/CapybaraProper")
 
 model = LlamaForCausalLM.from_pretrained(
      "EmicoBinsfinder/CapybaraProper", use_auth_token=auth_token, 
     load_in_8bit=True,
     device_map="auto") #low_cpu_mem_usage=True)
-
+tokenizer = LlamaTokenizer.from_pretrained("EmicoBinsfinder/CapybaraProper", use_auth_token=auth_token)
 ########## DEFINING FUNCTIONS ###################
 
 def mean_pooling(model_output, attention_mask):