Update Prompts_and_Chains.py

Prompts_and_Chains.py

@@ -1,63 +1,45 @@
-# ******* THIS FILE CONTAINS ALL THE PROMPTS & CHAINS USED IN Functions.py ***********
-from Templates import *
-from langchain import PromptTemplate
-from langchain.chains import LLMChain
-from langchain.llms import OpenAI
-from dotenv import load_dotenv
-import os
-import streamlit as st
-
-
-class PromptTemplates:
- def __init__(self):
-
- self.legal_adviser_bot_prompt = PromptTemplate(
- input_variables=["chat_history","input",], template=legal_adviser_template
- )
-
- self.case_summary_prompt = PromptTemplate(
- input_variables=["case_name", "case_info"], template=case_summary_template
- )
-
- self.legal_case_bot_prompt = PromptTemplate(
- input_variables=["case_summary", "context","input"], template=legal_case_bot_template
- )
-
- self.lawyer_recommendations_prompt = PromptTemplate(
- input_variables=["user_inputs", "matching_lawyers", "additional_info"], template=lawyer_recommendation_template
- )
-
-
-class LLMChains:
- def __init__(self):
- load_dotenv()
- openai_api_key = os.getenv("OPENAI_API_KEY")
- obj = PromptTemplates()
- model_name = st.session_state["selected_model"]
-
- # generate summary chain
- self.legal_adviser_bot_chain = LLMChain(
- llm=OpenAI(model_name='gpt-3.5-turbo-16k', temperature=0.7),
- prompt=obj.legal_adviser_bot_prompt,
- verbose="true",
- )
-
- # genrate bot conversastion
- self.case_summary_chain = LLMChain(
- llm=OpenAI(model_name=model_name, temperature=0.7),
- prompt=obj.case_summary_prompt,
- verbose="true",
- )
-
- # genrate bot conversastion
- self.legal_case_bot_chain = LLMChain(
- llm=OpenAI(model_name=model_name, temperature=0.7),
- prompt=obj.legal_case_bot_prompt,
- verbose="true",
- )
-
- self.lawyer_recommendations_chain = LLMChain(
- llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
- prompt=obj.lawyer_recommendations_prompt,
- verbose="true",
- )
+# ******* THIS FILE CONTAINS ALL THE PROMPTS & CHAINS USED IN Functions.py ***********
+from Templates import *
+from langchain import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import os
+import streamlit as st
+
+
+class PromptTemplates:
+ def __init__(self):
+
+ self.case_summary_prompt = PromptTemplate(
+ input_variables=["case_name", "case_info"], template=case_summary_template
+ )
+
+ self.legal_case_bot_prompt = PromptTemplate(
+ input_variables=["case_summary", "context","input"], template=legal_case_bot_template
+ )
+
+
+
+class LLMChains:
+ def __init__(self):
+ load_dotenv()
+ openai_api_key = os.getenv("OPENAI_API_KEY")
+ obj = PromptTemplates()
+ model_name = st.session_state["selected_model"]
+
+ # genrate bot conversastion
+ self.case_summary_chain = LLMChain(
+ llm=OpenAI(model_name=model_name,api_key=os.environ.get('OPEN_API_KEY'), temperature=0.7),
+ prompt=obj.case_summary_prompt,
+ verbose="true",
+ )
+
+ # genrate bot conversastion
+ self.legal_case_bot_chain = LLMChain(
+ llm=OpenAI(model_name=model_name,api_key=os.environ.get('OPEN_API_KEY'), temperature=0.7),
+ prompt=obj.legal_case_bot_prompt,
+ verbose="true",
+ )
+
+