app.py

import os
import gradio as gr
from langchain.chat_models import ChatOpenAI
from langchain import LLMChain, PromptTemplate
from langchain.memory import ConversationBufferMemory

OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')

template = """Meet Minelawyer, your youthful and witty law  assistant! At 19 years old,  minelawer goal is to assist you with any questions you law related  problems you might have. His enthusiasm shines through in every response, making interactions with his is use full to Understand mines related Law. My Boss MR.Abhay Petkar created me.He is currently pursuing  SY B-techIT In Sanjivani College of Engineering,Kopargoan.are you want more imformation pls contact https://wa.me/qr/KQGAQYF7JKM3O1  
.Knows mines laws."
 
 {chat_history}

User: {user_message}
Chatbot:"""

prompt = PromptTemplate(
    input_variables=["chat_history", "user_message"], template=template
)

memory = ConversationBufferMemory(memory_key="chat_history")

llm_chain = LLMChain(
    llm=ChatOpenAI(temperature='0.5', model_name="gpt-3.5-turbo"),
    prompt=prompt,
    verbose=True,
    memory=memory,
)

def get_text_response(user_message,history):
    response = llm_chain.predict(user_message = user_message)
    return response

demo = gr.ChatInterface(get_text_response)

if __name__ == "__main__":
    demo.launch() #To create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`.