Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+
+def simulate_tuning(learning_rate, epochs, batch_size):
+    score = 100 - (learning_rate * 100) + (epochs * 0.3) - (batch_size * 0.05)
+    return f"Estimated score: {score:.2f}"
+
+with gr.Blocks() as rnd_app:
+    gr.Markdown("# Nexa R&D Tuning Sandbox")
+    lr = gr.Slider(0.0001, 0.1, value=0.01, label="Learning Rate")
+    epochs = gr.Slider(1, 100, value=10, step=1, label="Epochs")
+    batch = gr.Slider(1, 512, value=32, step=1, label="Batch Size")
+    output = gr.Textbox(label="Simulated Result")
+    run = gr.Button("Run Simulation")
+    run.click(simulate_tuning, inputs=[lr, epochs, batch], outputs=output)
+
+rnd_app.launch()