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gpt / app.py

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	import os
	import openai
	import gradio as gr

	#openai.api_key = "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"
	#openai.api_key = "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"
	openai.api_key ="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"
	start_sequence = "\nAI:"
	restart_sequence = "\nHuman: "

	def predict(input,initial_prompt, history=[]):

	s = list(sum(history, ()))
	s.append(input)
	# initial_prompt="The following is a conversation with an AI movie recommendation assistant. The assistant is helpful, creative, clever, and very friendly.Along with movie recommendation it also talks about general topics"
	# \n\nHuman: Hello, who are you?\nAI: I am an AI created by OpenAI. How can I help you today?\nHuman: "
	response = openai.Completion.create(
	model="text-davinci-003",
	prompt= initial_prompt + "\n" + str(s),
	temperature=0.9,
	max_tokens=150,
	top_p=1,
	frequency_penalty=0,
	presence_penalty=0.6,
	stop=[" Human:", " AI:"])
	# tokenize the new input sentence
	response2 = response["choices"][0]["text"]
	history.append((input, response2))

	return history, history