Spaces:
				
			
			
	
			
			
		Runtime error
		
	
	
	
			
			
	
	
	
	
		
		
		Runtime error
		
	Update app.py
Browse files
    	
        app.py
    CHANGED
    
    | @@ -7,18 +7,21 @@ def get_model(model): | |
| 7 | 
             
            	return pipeline("fill-mask", model=model)
         | 
| 8 |  | 
| 9 |  | 
| 10 | 
            -
            text = st.text_input("Enter a text for auto completion...")
         | 
| 11 |  | 
| 12 | 
            -
             | 
|  | |
|  | |
|  | |
| 13 |  | 
| 14 | 
             
            model = st.selectbox("choose a model", ["roberta-base", "bert-base-uncased", "gpt2", "t5"])
         | 
| 15 |  | 
| 16 | 
             
            if text:
         | 
| 17 | 
            -
                data_load_state = st.text('Loading...')
         | 
| 18 | 
             
                nlp = get_model(model)
         | 
| 19 | 
            -
                 | 
| 20 | 
            -
                 | 
| 21 | 
            -
                 | 
| 22 | 
            -
             | 
| 23 | 
            -
             | 
|  | |
| 24 | 
             
                st.table(result)
         | 
|  | |
| 7 | 
             
            	return pipeline("fill-mask", model=model)
         | 
| 8 |  | 
| 9 |  | 
|  | |
| 10 |  | 
| 11 | 
            +
             | 
| 12 | 
            +
            history_keyword_text = st.text_input("Enter users's history keywords (optional, i.e., 'Gates')")
         | 
| 13 | 
            +
             | 
| 14 | 
            +
            text = st.text_input("Enter a text for auto completion...")
         | 
| 15 |  | 
| 16 | 
             
            model = st.selectbox("choose a model", ["roberta-base", "bert-base-uncased", "gpt2", "t5"])
         | 
| 17 |  | 
| 18 | 
             
            if text:
         | 
| 19 | 
            +
                data_load_state = st.text('Loading model...')
         | 
| 20 | 
             
                nlp = get_model(model)
         | 
| 21 | 
            +
                data_load_state = st.text('Inference to model...')
         | 
| 22 | 
            +
                result = nlp(text+' '+nlp.tokenizer.mask_token)
         | 
| 23 | 
            +
                data_load_state.text('')
         | 
| 24 | 
            +
                for r in result:
         | 
| 25 | 
            +
                    if r in history_keyword_text:
         | 
| 26 | 
            +
                        r['score']*=0.10
         | 
| 27 | 
             
                st.table(result)
         | 
