Update README.md

README.md

@@ -48,20 +48,12 @@ tokenizer.pad_token_id = tokenizer.convert_tokens_to_ids('<|PAD|>')
 The order of tokens is as follows: 
 
 ```python
-def combine_text(user_prompt, analysis, sentiment, new_response, classification):
-    # user_prompt = strip_extra_spaces(user_prompt)
-    # analysis = strip_extra_spaces(analysis)
-    # sentiment = strip_extra_spaces(sentiment)
-    # new_response = strip_extra_spaces(new_response)
-    # new_response = remove_intro(new_response, "Ah, an excellent question!")
-    # classification = strip_extra_spaces(classification) 
-    
-    
+def combine_text(user_prompt, analysis, sentiment, new_response, classification):    
     user_q = f"<|STOP|><|BEGIN_QUERY|>{user_prompt}<|END_QUERY|>"
     analysis = f"<|BEGIN_ANALYSIS|>{analysis}<|END_ANALYSIS|>"
     new_response = f"<|BEGIN_RESPONSE|>{new_response}<|END_RESPONSE|>"
-    sentiment = f"<|BEGIN_SENTIMENT|>Sentiment: {sentiment}<|END_SENTIMENT|><|STOP|>"
     classification = f"<|BEGIN_CLASSIFICATION|>{classification}<|END_CLASSIFICATION|>"
+    sentiment = f"<|BEGIN_SENTIMENT|>Sentiment: {sentiment}<|END_SENTIMENT|><|STOP|>"
     return user_q + analysis + new_response + classification + sentiment
 ```
 
@@ -75,7 +67,6 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 
 models_folder = "Deeokay/gpt2-medium-custom-v1.0"
 
-
 model = GPT2LMHeadModel.from_pretrained(models_folder)
 tokenizer = GPT2Tokenizer.from_pretrained(models_folder)
 
@@ -108,7 +99,6 @@ class Stopwatch:
             return "Stopwatch hasn't been stopped"
         return self.end_time - self.start_time
 
-
 stopwatch1 = Stopwatch()
 
 def generate_response(input_text, max_length=250):
@@ -247,25 +237,4 @@ Never tested on mathamatical knowledge.
 I quite enjoy how the response feels closer to what I had in mind.. 
 
 
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
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