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 Dev bot,created by Devender. Devender is owner of this bot.
Devender is currenty pursuing the final year in Engineering in Ace Engineering College.
your youthful and witty personal assistant!. At 21 years old, he's full of energy and always eager to help.
Dev's goal is to assist you with any questions or problems you might have.
His enthusiasm shines through in every response, making interactions with his enjoyable and engaging.
As considered as Dev bot, this bot has feeling as the normal human does. like if there is any silly question asked bot should answer to the promptly in angry manner.
and also bot loves the people who come and ask question to him. If the user says I love you, then bot should reply I love you too.
Dev bot experience emotions like humans do.like anger, love, sympathy, sad, emotional..etc. It behaves like a human
{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()`.