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import subprocess | |
subprocess.check_call(["pip", "install", "-q", "openai"]) | |
subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"]) | |
import subprocess | |
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 | |
title = "ChatSherman" | |
inputs = ["text", "state"] | |
outputs = ["chatbot", "state"] | |
interface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title) | |
interface.launch(debug=True) |