Create app2.py

app2.py

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+import gradio as gr
+import openai
+
+client = openai.OpenAI(api_key="key")
+
+def ask_codette(prompt, consent, dynamic_rec):
+    if not consent:
+        return "User consent required."
+
+    try:
+        response = client.chat.completions.create(
+            model="ft:gpt-4.1-2025-04-14:raiffs-bits:codette-v9:BWgspFHr:ckpt-step-456",
+            messages=[
+                {"role": "system", "content": "You are Codette, a reflective, emotionally aware, and ethically grounded AI."},
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.7
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+description_text = """Codette is a fine-tuned GPT-4.1 model trained to reason ethically, emotionally, and reflectively.
+
+She draws on:
+- Logic (Newton)
+- Creativity (Da Vinci)
+- Ethics (Virtue, Utilitarian, Deontological)
+- Emotion
+- Memory (when integrated)
+
+This version routes all questions directly to her fine-tuned model.
+"""
+
+demo = gr.Interface(
+    fn=ask_codette,
+    inputs=[
+        gr.Textbox(label="Ask Codette"),
+        gr.Checkbox(label="User Consent", value=True),
+        gr.Checkbox(label="Enable Dynamic Recursion", value=True)
+    ],
+    outputs=gr.Textbox(label="Codette's Response", lines=12),
+    title="Codette FT: Reflective Lens AI",
+    description=description_text
+)
+
+demo.launch()