Update modeling_t5.py

modeling_t5.py

@@ -1,3 +1,12 @@
+from transformers import T5ForConditionalGeneration as t5FCG
+from transformers.models.t5.configuration_t5 import T5Config
+from typing import Optional, Tuple, Union, List, Callable
+
+
+
+
+
+
 class T5ForConditionalGeneration(t5FCG):
     
     def __init__(self, config: T5Config):
@@ -42,4 +51,4 @@ class T5ForConditionalGeneration(t5FCG):
         response = self.get_response(tokenizer,input_text,sample=sample, top_p=top_p, temperature=temperature,max_length=max_length,no_repeat_ngram_size=no_repeat_ngram_size,num_beams=num_beams, length_penalty=length_penalty)
 
         history.append((query, response))
-        return response,history
+        return response,history