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Create app.py
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app.py
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#!/usr/bin/env python
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# coding: utf-8
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# In[ ]:
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import os
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import openai
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import gradio as gr
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openai.api_key = "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"
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start_sequence = "\nAI:"
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restart_sequence = "\nHuman: "
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def predict(input,initial_prompt, history=[]):
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s = list(sum(history, ()))
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s.append(input)
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# 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"
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# \n\nHuman: Hello, who are you?\nAI: I am an AI created by OpenAI. How can I help you today?\nHuman: "
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response = openai.Completion.create(
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model="text-davinci-003",
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prompt= initial_prompt + "\n" + str(s),
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temperature=0.9,
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max_tokens=150,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0.6,
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stop=[" Human:", " AI:"])
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# tokenize the new input sentence
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response2 = response["choices"][0]["text"]
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history.append((input, response2))
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return history, history
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gr.Interface(fn=predict,
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inputs=["text","text",'state'],
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outputs=["chatbot",'state']).launch()
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