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import openai
import os
openai.api_key = userdata.get('OPENAI_API_KEY')
# Initialize the OpenAI client
from openai import OpenAI
# HF
API_KEY = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=API_KEY)
from datetime import datetime
# gpt function
def chatgpt(prompt):
today_day = datetime.now().strftime("%Y-%m-%d %H:%M:%S") # Get current date and time
response = openai.chat.completions.create(
model="gpt-4.5-preview-2025-02-27", # Use an actual available model
messages=[
{"role": "system", "content": f"You are GPT 4.5 the latest model from OpenAI, released Feb, 27th 2025 at 3 pm ET. Todays date is: {today_day}"},
{"role": "user", "content": prompt}
]
)
return response.choices[0].message.content
#Gradio
import gradio as gr
# Function to handle chat interaction
def respond(message, chat_history):
bot_message = chatgpt(message) # Assuming chatgpt is defined elsewhere
chat_history.append((message, bot_message))
return "", chat_history
# Create a Gradio Blocks interface
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# Chat with GPT-4.5")
gr.Markdown("Ask anything to gpt-4.5-preview-2025-02-27 model")
chatbot = gr.Chatbot()
with gr.Row():
msg = gr.Textbox(placeholder="Type your message here...", scale=4)
send = gr.Button("Send", scale=1)
clear = gr.Button("Clear")
# Set up interactions
send.click(respond, [msg, chatbot], [msg, chatbot])
msg.submit(respond, [msg, chatbot], [msg, chatbot]) # Keeps Enter key functionality
clear.click(lambda: None, None, chatbot, queue=False)
# Add example prompts
gr.Examples(
examples=["Tell me about quantum computing",
"Write a short poem about AI",
"How can I improve my Python skills?"],
inputs=msg
)
# Launch the app
if __name__ == "__main__":
demo.launch()
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