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d964933 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | <!DOCTYPE html>
<html>
<head>
<script type="module" src="https://cdn.jsdelivr.net/npm/@gradio/lite@5/dist/lite.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite@5/dist/lite.css" />
</head>
<body>
<gradio-app requirements="openai">
import gradio as gr
from openai import OpenAI
def run_descriptor_agent(openai_key, user_prompt):
if not openai_key:
return "Please enter your OpenAI API Key first!"
try:
# Initialize the OpenAI client inside the browser-lite environment
client = OpenAI(api_key=openai_key)
# Simple agent/LLM descriptor call
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": "You are a professional AI Descriptor agent. Provide structured, clear summaries and descriptions based on user requests."},
{"role": "user", "content": user_prompt}
]
)
return response.choices[0].message.content
except Exception as e:
return f"Error: {str(e)}"
# Define a clean Gradio Blocks Interface
with gr.Blocks() as demo:
gr.Markdown("# AI Descriptor Agent")
with gr.Row():
key_input = gr.Textbox(
label="1. Enter your OpenAI API Key",
placeholder="sk-proj-...",
type="password"
)
with gr.Row():
prompt_input = gr.Textbox(
label="2. Ask the Agent anything",
placeholder="Describe what you want me to analyze..."
)
submit_btn = gr.Button("Run Agent", variant="primary")
output_text = gr.Textbox(label="Agent Response", interactive=False)
submit_btn.click(
fn=run_descriptor_agent,
inputs=[key_input, prompt_input],
outputs=output_text
)
demo.launch()
</gradio-app>
</body>
</html> |