Create app.py

app.py

@@ -0,0 +1,48 @@
+import gradio as gr
+from optimizer import optimize_prompt
+
+def run_optimizer(prompt, reference):
+    if not prompt.strip():
+        return "Please enter a prompt.", ""
+
+    try:
+        results = optimize_prompt(prompt, reference)
+        best = results[0]
+
+        best_prompt = best["prompt"]
+        details = ""
+
+        for i, r in enumerate(results, 1):
+            details += f"\n=== Variant {i} | Score: {r['score']} ===\n"
+            details += f"PROMPT:\n{r['prompt']}\n\n"
+            details += f"OUTPUT:\n{r['output']}\n\n"
+
+        return best_prompt, details
+
+    except Exception as e:
+        # user-friendly message
+        msg = "⚠️ Something went wrong while generating results.\n"
+        msg += "Please try again in a moment."
+        return msg, msg
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🧠 Prompt Optimization Tool")
+    gr.Markdown("Powered by **Mistral-7B-Instruct** (free, HF-native LLM)")
+
+    with gr.Row():
+        prompt_in = gr.Textbox(label="Enter your prompt", lines=4)
+        ref_in = gr.Textbox(label="Optional: Ideal answer", lines=4)
+
+    optimize_btn = gr.Button("🚀 Optimize Prompt")
+
+    best_out = gr.Textbox(label="🏆 Best Optimized Prompt", lines=6)
+    details_out = gr.Textbox(label="📊 All Variants", lines=20)
+
+    optimize_btn.click(
+        fn=run_optimizer,
+        inputs=[prompt_in, ref_in],
+        outputs=[best_out, details_out]
+    )
+
+demo.launch()