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import gradio as gr | |
import openai | |
DESCRIPTION = """ | |
Hãy để trợ lý của AI Consultant hỗ trợ bạn ! | |
""" | |
# Define inputs and outputs | |
inputs = [ | |
gr.inputs.Textbox(label="Câu hỏi:"), | |
] | |
outputs = [ | |
gr.outputs.Textbox(label="Câu trả lời:") | |
] | |
# Initialize conversation history | |
conversation_history = [] | |
def chatbot(input): | |
global conversation_history | |
openai.api_key = "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" | |
# Add user input to conversation history | |
conversation_history.append(f"You: {input}") | |
# Generate response using conversation history | |
response = openai.Completion.create( | |
engine="text-davinci-003", | |
prompt='\n'.join(conversation_history), | |
max_tokens=600 | |
) | |
# Add AI response to conversation history | |
ai_response = response.choices[0].text.strip() | |
conversation_history.append(f": {ai_response}") | |
return ai_response | |
# Create a Gradio interface | |
interface = gr.Interface( | |
fn=chatbot, | |
inputs=inputs, | |
outputs=outputs, | |
title="AI Consultant", | |
theme="compact", | |
layout="vertical", | |
allow_flagging="never", | |
live=False, | |
description=DESCRIPTION, | |
css='style.css' | |
) | |
# Launch the interface | |
interface.launch() | |