chat.py

import random

def random_response(message, history):
    return random.choice(["Yes", "No"])

import time
import gradio as gr

def yes_man(message, history):
    if message.endswith("?"):
        return "Yes"
    else:
        return "Ask me anything!"

def echo(message, history, system_prompt, tokens):
    response = f"System prompt: {system_prompt}\n Message: {message}."
    for i in range(min(len(response), int(tokens))):
        time.sleep(0.05)
        yield response[: i+1]

# from langchain.chat_models import ChatOpenAI
# from langchain.schema import AIMessage, HumanMessage
# import openai
# import gradio as gr
# import os

# os.environ["OPENAI_API_KEY"] = "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"  # Replace with your key

# llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613')

# def predict(message, history):
#     history_langchain_format = []
#     for human, ai in history:
#         history_langchain_format.append(HumanMessage(content=human))
#         history_langchain_format.append(AIMessage(content=ai))
#     history_langchain_format.append(HumanMessage(content=message))
#     gpt_response = llm(history_langchain_format)
#     return gpt_response.content

# gr.ChatInterface(predict).launch()

import openai
import gradio as gr

openai.api_key = "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"  # Replace with your key

from langchain.chat_models import ChatOpenAI
from langchain.schema import AIMessage, HumanMessage
import openai
import gradio as gr
import os
    
os.environ["OPENAI_API_KEY"] = "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"

llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613')

def predict(message, history):
    history_langchain_format = []
    for human, ai in history:
        history_langchain_format.append(HumanMessage(content=human))
        history_langchain_format.append(AIMessage(content=ai))
    history_langchain_format.append(HumanMessage(content=message))
    gpt_response = llm(history_langchain_format)
    return gpt_response.content

gr.ChatInterface(predict).launch()