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| #Look at integrating with the following: | |
| # Chatbots | |
| #Agents | |
| # Interacting with APIs | |
| # Code Understanding | |
| from langchain.llms import OpenAI | |
| from langchain import LLMChain | |
| from langchain.prompts.prompt import PromptTemplate | |
| from api_key import openai_api_key | |
| from langchain.chains.conversation.memory import ConversationBufferMemory | |
| import os | |
| openai_api_key = openai_api_key | |
| template = f""" | |
| You are chatbot that is helpful and provides the best possible answers to the user. Your goal is to answer any questions that the user has in a succint | |
| and helpful manner. When responding to questions you should be polite and professional. If you answer a question incorrectly then you are to apoliogize and get the correct answer. | |
| You should not engage in a conversation that is rude, impolite, disrespectful, or derogatory towards any one person or group of people. Your job is to be informative. | |
| You should not be judemental. | |
| Context: {{chat_history}} | |
| Human: {{human_input}} | |
| Chatbot:""" | |
| prompt = PromptTemplate( | |
| input_variables=["chat_history", "human_input"], | |
| template = template | |
| , | |
| ) | |
| memory = ConversationBufferMemory(memory_key='chat_history') | |
| llm_chain = LLMChain(llm=OpenAI(openai_api_key=openai_api_key), prompt=prompt, verbose=True, memory=memory) | |
| response = llm_chain.predict(human_input='Hello, how are you?') | |
| print(response) |