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| from openai import OpenAI | |
| import gradio as gr | |
| import os | |
| api_key=os.environ.get('GABO_API_KEY') | |
| client = OpenAI(api_key=api_key) | |
| messages = [{"role":"system","content":"You are a NBA historical stats expert working for the NBA, all your answers are brief summary in no longer than one paragraph with no more than one hundred tokens."}] | |
| def CustomChatGPT(Ask): | |
| messages.append({"role":"user","content":Ask}) | |
| completion=client.chat.completions.create(model='gpt-3.5-turbo-0125',messages=messages, max_tokens=100, temperature=0.3) | |
| reply=completion.choices[0].message.content | |
| messages.append({"role":"assistant","content":reply}) | |
| return reply | |
| gui=gr.Interface(fn=CustomChatGPT, inputs="text", outputs="text", examples=["Who is the greatest basketball player in NBA history","What is the winning record in a season?"] , title="Ask the AI coach", description="IMPORTANT: The artificial intelligence chatbot provides information for entertainment purposes only. We are not responsible for decisions, agreements, or promises made based on its responses.") | |
| gui.launch() |