Update app.py

app.py

@@ -7,7 +7,7 @@ model = TFGPT2LMHeadModel.from_pretrained('gpt2',pad_token_id = tokenizer.eos_to
 
 def generate(inp):
     input_ids = tokenizer.encode(inp,return_tensors = 'tf')
-    beam_output =  model.generate(input_ids, max_length = 300,num_beams = 5, no_repeat_ngram_size = 2, early_stopping = True)
+    beam_output =  model.generate(input_ids, max_length = 90,num_beams = 5, no_repeat_ngram_size = 2, early_stopping = True)
     output = tokenizer.decode(beam_output[0],skip_special_tokens = True, clean_up_tokenization_spaces = True)
     return ".".join(output.split(".")[:-1]) + "."