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from Templates import * |
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from langchain import PromptTemplate |
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from langchain.chains import LLMChain |
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from langchain.llms import OpenAI |
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from dotenv import load_dotenv |
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import os |
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class PromptTemplates: |
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def __init__(self): |
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self.legal_adviser_bot_prompt = PromptTemplate( |
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input_variables=["chat_history","input",], template=legal_adviser_template |
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) |
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self.lawyer_recommendations_prompt = PromptTemplate( |
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input_variables=["user_inputs", "matching_lawyers","additional_info"], template=lawyer_recommendation_template |
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) |
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class LLMChains: |
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def __init__(self): |
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load_dotenv() |
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openai_api_key = os.getenv("OPENAI_API_KEY") |
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obj = PromptTemplates() |
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self.legal_adviser_bot_chain = LLMChain( |
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llm=OpenAI(model_name='gpt-3.5-turbo-16k',api_key=os.environ.get('OPEN_API_KEY'), temperature=0.7), |
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prompt=obj.legal_adviser_bot_prompt, |
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verbose="true", |
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) |
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self.lawyer_recommendations_chain = LLMChain( |
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llm=OpenAI(model_name="gpt-3.5-turbo-16k",api_key=os.environ.get('OPEN_API_KEY'), temperature=0.7), |
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prompt=obj.lawyer_recommendations_prompt, |
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verbose="true", |
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) |
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