Create app.py

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+from openai import OpenAI
+
+def run_agent(openai_key, user_prompt):
+    if not openai_key:
+        return "Please enter your OpenAI API Key first!"
+    
+    try:
+        # Initialize the OpenAI client right inside the function
+        client = OpenAI(api_key=openai_key)
+        
+        # Simple agent/LLM call (adjust the prompt/system message to match your specific agent logic)
+        response = client.chat.completions.create(
+            model="gpt-4o-mini",  # Highly capable and fast default
+            messages=[
+                {"role": "system", "content": "You are a helpful AI Descriptor agent."},
+                {"role": "user", "content": user_prompt}
+            ]
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Define a clean Gradio 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 need..."
+        )
+        
+    submit_btn = gr.Button("Run Agent")
+    output_text = gr.Textbox(label="Agent Response")
+    
+    submit_btn.click(
+        fn=run_agent, 
+        inputs=[key_input, prompt_input], 
+        outputs=output_text
+    )
+
+demo.launch()