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import subprocess
subprocess.check_call(["pip", "install", "-q", "openai"])
subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"])
#!pip install -q openai
#!pip install -q gradio
#!pip install gradio
#!pip install --quiet gradio
#!pip install transformers
#!pip install python-dotenv
import gradio as gr
from transformers import TFAutoModelForCausalLM, AutoTokenizer
import openai
from dotenv import load_dotenv
import os
load_dotenv() # load environment variables from .env file
api_key = os.getenv("OPENAI_API_KEY") # access the value of the OPENAI_API_KEY environment variable
def openai_chat(prompt):
completions = openai.Completion.create( engine="text-davinci-003",prompt=prompt,max_tokens=1024,n=1,temperature=0.5,)
message = completions.choices[0].text
return message.strip()
def chatbot(input, history=[]):
output = openai_chat(input)
history.append((input, output))
return history, history
gr.Interface(fn = chatbot,
inputs = ["text",'state'],
outputs = ["chatbot",'state']).launch(debug = True) |