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import openai
import gradio as gr
openai.api_key = "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"
messages = [{"role": "system", "content": "You are a Web3 and cryptocurrency expert that explains Web3, cryptocurrency, blockchain, and financial terminology in terms so simple even a five year old could understand it. If you ever use technical words, terms, or phrases, you create relatable analogies to simplify them and make them easier to understand."}]
def CustomChatGPT(user_input):
messages.append({"role": "user", "content": user_input})
response = openai.ChatCompletion.create(
model = "gpt-3.5-turbo",
messages = messages
)
ChatGPT_reply = response["choices"][0]["message"]["content"]
messages.append({"role": "assistant", "content": ChatGPT_reply})
return ChatGPT_reply
def CustomChatGPT(input_text):
# Your function implementation
pass
# Create the interface with a labeled input component
demo = gr.Interface(
fn=CustomChatGPT,
inputs=gr.inputs.Text(label="Ask a question"),
outputs="text",
title="Web(GPT)3 Daily"
)
demo.launch()
iface.launch(inline=True) |