Update app.py

app.py

@@ -14,17 +14,17 @@ def preprocess(text):
   return text
 
 def postprocess(text):
-  return text.replace("\\n", "\n").replace("\\t", "\t").replace('%20','  ')
+  return text.replace("\\n", "\n").replace("\\t", "\t").replace('%20','  ').replace(" ", " ")
 
-def answer(text, sample=True, top_p=1, temperature=0.7):
+def answer(text, sample=True, top_p=0.9, temperature=0.7):
   '''sample：是否抽样。生成任务，可以设置为True;
   top_p：0-1之间，生成的内容越多样'''
   text = preprocess(text)
-  encoding = tokenizer(text=[text], truncation=True, padding=True, max_length=768, return_tensors="pt").to(device) 
+  encoding = tokenizer(text=[text], truncation=True, padding=True, max_length=1024, return_tensors="pt").to(device) 
   if not sample:
-    out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_new_tokens=512, num_beams=1, length_penalty=0.6)
+    out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_new_tokens=1024, num_beams=1, length_penalty=0.6)
   else:
-    out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_new_tokens=512, do_sample=True, top_p=top_p, temperature=temperature, no_repeat_ngram_size=3)
+    out = model.generate(**encoding, return_dict_in_generate=True, output_scores=False, max_new_tokens=1024, do_sample=True, top_p=top_p, temperature=temperature, no_repeat_ngram_size=3)
   out_text = tokenizer.batch_decode(out["sequences"], skip_special_tokens=True)
   return postprocess(out_text[0])