research14 commited on
Commit
b93be81
·
1 Parent(s): 2b07352

changed output to only bot message

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -56,7 +56,7 @@ def gpt_respond(tab_name, message, chat_history, max_convo_length = 10):
56
  return "", chat_history
57
 
58
  def vicuna_respond(tab_name, message, chat_history):
59
- formatted_prompt = f'''Generate the output only for the assistant. Please output any {tab_name} in the following sentence one per line without any additional text: {message}'''
60
  print('Prompt + Context:')
61
  print(formatted_prompt)
62
  input_ids = vicuna_tokenizer.encode(formatted_prompt, return_tensors="pt")
@@ -66,10 +66,10 @@ def vicuna_respond(tab_name, message, chat_history):
66
 
67
  chat_history.append((formatted_prompt, bot_message))
68
  time.sleep(2)
69
- return tab_name, "", chat_history
70
 
71
  def llama_respond(tab_name, message, chat_history):
72
- formatted_prompt = f'''Generate the output only for the assistant. Please output any {tab_name} in the following sentence one per line without any additional text: {message}'''
73
  print('Prompt + Context:')
74
  print(formatted_prompt)
75
  input_ids = llama_tokenizer.encode(formatted_prompt, return_tensors="pt")
@@ -79,7 +79,7 @@ def llama_respond(tab_name, message, chat_history):
79
 
80
  chat_history.append((formatted_prompt, bot_message))
81
  time.sleep(2)
82
- return tab_name, "", chat_history
83
 
84
  def interface():
85
  gr.Markdown(" Description ")
 
56
  return "", chat_history
57
 
58
  def vicuna_respond(tab_name, message, chat_history):
59
+ formatted_prompt = f'''Generate the output only for the assistant. Please output any <{tab_name}> in the following sentence one per line without any additional text: <{message}>'''
60
  print('Prompt + Context:')
61
  print(formatted_prompt)
62
  input_ids = vicuna_tokenizer.encode(formatted_prompt, return_tensors="pt")
 
66
 
67
  chat_history.append((formatted_prompt, bot_message))
68
  time.sleep(2)
69
+ return tab_name, "", bot_message
70
 
71
  def llama_respond(tab_name, message, chat_history):
72
+ formatted_prompt = f'''Generate the output only for the assistant. Please output any <{tab_name}> in the following sentence one per line without any additional text: <{message}>'''
73
  print('Prompt + Context:')
74
  print(formatted_prompt)
75
  input_ids = llama_tokenizer.encode(formatted_prompt, return_tensors="pt")
 
79
 
80
  chat_history.append((formatted_prompt, bot_message))
81
  time.sleep(2)
82
+ return tab_name, "", bot_message
83
 
84
  def interface():
85
  gr.Markdown(" Description ")