v0

app.py

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+from google.colab import userdata
+import openai
+openai.api_key = userdata.get('OPENAI_API_KEY')
+# Initialize the OpenAI client
+from openai import OpenAI
+client = OpenAI(api_key=openai.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()