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import openai | |
import gradio as gr | |
openai.api_key = "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" | |
messages = [ | |
{"role": "system", "content": "You are a helpful and kind AI Assistant for content and blog writing"}, | |
] | |
def chatbot(input): | |
if input: | |
messages.append({"role": "user", "content": input}) | |
chat = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", messages=messages, | |
temperature=0.7, | |
max_tokens=500, | |
top_p=1, | |
frequency_penalty=0, | |
presence_penalty=0 | |
) | |
reply = chat.choices[0].message.content | |
messages.append({"role": "assistant", "content": reply}) | |
return reply | |
inputs = gr.inputs.Textbox(lines=7, label="Chat with AI") | |
outputs = gr.outputs.Textbox(label="Reply") | |
gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="Lisa's AI Chatbot", | |
description="Ask anything you want", | |
theme="compact").launch() | |