PyaeSoneK commited on
Commit
6116424
·
1 Parent(s): 591fadf

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -48,7 +48,7 @@ import torch
48
  B_INST, E_INST = "[INST]", "[/INST]"
49
  B_SYS, E_SYS = "<>\n", "\n<>\n\n"
50
  DEFAULT_SYSTEM_PROMPT = """\
51
- You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
52
 
53
  If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.Just say you don't know and you are sorry!"""
54
 
@@ -97,7 +97,7 @@ def parse_text(text):
97
  from langchain import HuggingFacePipeline
98
  from langchain import PromptTemplate, LLMChain
99
 
100
- llm = HuggingFacePipeline(pipeline = pipe, model_kwargs = {'temperature':0})
101
 
102
 
103
  system_prompt = "You are an advanced legal assistant that excels at giving advice. "
@@ -114,7 +114,7 @@ text = st.text_input('Plug in your prompt here')
114
 
115
  if text:
116
  response = llm_chain.run(text)
117
- st.write(parse_text(response))
118
 
119
 
120
 
 
48
  B_INST, E_INST = "[INST]", "[/INST]"
49
  B_SYS, E_SYS = "<>\n", "\n<>\n\n"
50
  DEFAULT_SYSTEM_PROMPT = """\
51
+ You are a helpful, respectful and honest legal assistant who will answer legal questions a user would ask with step-by-step explanation and advice. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
52
 
53
  If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.Just say you don't know and you are sorry!"""
54
 
 
97
  from langchain import HuggingFacePipeline
98
  from langchain import PromptTemplate, LLMChain
99
 
100
+ llm = HuggingFacePipeline(pipeline = pipe, model_kwargs = {'temperature':0.7,'max_length': 256, 'top_k' :50})
101
 
102
 
103
  system_prompt = "You are an advanced legal assistant that excels at giving advice. "
 
114
 
115
  if text:
116
  response = llm_chain.run(text)
117
+ st.write(response)
118
 
119
 
120