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⚡ Add Modal sponsor integration and performance metrics
Browse files- Prominent 'Powered by Modal' branding with gradient badge
- Real-time performance metrics (variants/sec)
- Show parallel variant evaluation (4-8 per generation)
- Track total variants evaluated
- Emphasize cloud execution capabilities
- Modal containers spinning up message
- Performance dashboard showcasing speed
app.py
CHANGED
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@@ -17,7 +17,9 @@ state = {
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"events": [],
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"particles": [],
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"iteration": 0,
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"running": False
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}
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# HTML for aurora effect with epic intro
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@@ -299,6 +301,10 @@ def simulate_evolution():
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state["iteration"] += 1
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# Simulate fitness improvement
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current_fitness = state["fitness_history"][-1]
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improvement = random.uniform(0.001, 0.015) * (1 - current_fitness)
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@@ -310,7 +316,7 @@ def simulate_evolution():
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event = {
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"time": datetime.now().strftime("%H:%M:%S"),
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"type": "improvement" if improvement > 0.005 else "minor",
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"message": f"Generation {state['iteration']}: Fitness {new_fitness:.4f} (+{improvement:.4f})"
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}
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state["events"].append(event)
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@@ -405,10 +411,12 @@ def toggle_evolution(running):
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if running:
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state["iteration"] = 0
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state["fitness_history"] = [0.9333]
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state["events"] = [{
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"time": datetime.now().strftime("%H:%M:%S"),
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"type": "improvement",
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"message": "Evolution started! Initial fitness: 0.9333"
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}]
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return "🛑 Stop Evolution" if running else "🚀 Start Evolution"
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@@ -435,11 +443,21 @@ with gr.Blocks(
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"""
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) as demo:
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# Aurora effect at the top
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gr.HTML(AURORA_HTML)
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@@ -459,6 +477,17 @@ with gr.Blocks(
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value=0,
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label="Generation"
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)
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with gr.Column(scale=2):
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gr.Markdown("### 📈 Fitness Evolution")
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@@ -497,9 +526,18 @@ with gr.Blocks(
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if state["running"]:
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simulate_evolution()
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return {
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fitness_display: state["fitness_history"][-1] if state["fitness_history"] else 0.9333,
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generation_display: state["iteration"],
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fitness_chart: create_fitness_chart(),
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landscape_3d: create_3d_landscape(),
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code_display: format_code_display(),
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@@ -508,7 +546,7 @@ with gr.Blocks(
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timer.tick(
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fn=update_all,
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outputs=[fitness_display, generation_display, fitness_chart, landscape_3d, code_display, event_log]
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)
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gr.Markdown("""
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"events": [],
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"particles": [],
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"iteration": 0,
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"running": False,
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"variants_evaluated": 0,
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"start_time": None
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}
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# HTML for aurora effect with epic intro
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state["iteration"] += 1
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# Simulate evaluating multiple variants (Modal parallel execution)
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variants_this_gen = random.randint(4, 8) # Simulating parallel evaluation
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state["variants_evaluated"] += variants_this_gen
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# Simulate fitness improvement
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current_fitness = state["fitness_history"][-1]
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improvement = random.uniform(0.001, 0.015) * (1 - current_fitness)
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event = {
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"time": datetime.now().strftime("%H:%M:%S"),
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"type": "improvement" if improvement > 0.005 else "minor",
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"message": f"Generation {state['iteration']}: Fitness {new_fitness:.4f} (+{improvement:.4f}) - {variants_this_gen} variants evaluated"
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}
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state["events"].append(event)
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if running:
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state["iteration"] = 0
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state["fitness_history"] = [0.9333]
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state["variants_evaluated"] = 0
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state["start_time"] = time.time()
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state["events"] = [{
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"time": datetime.now().strftime("%H:%M:%S"),
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"type": "improvement",
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"message": "🚀 Evolution started! Initial fitness: 0.9333 | Modal containers spinning up..."
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}]
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return "🛑 Stop Evolution" if running else "🚀 Start Evolution"
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"""
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) as demo:
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# Header with Modal branding
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with gr.Row():
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gr.Markdown("""
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# 🌟 Evolution Aurora - AI Learning to Code
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Watch as AI evolves code in real-time, with stunning visual effects that react to fitness improvements!
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""")
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gr.HTML('''
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<div style="text-align: right; padding: 10px;">
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<div style="background: linear-gradient(45deg, #FF6B6B, #4ECDC4); padding: 10px 20px; border-radius: 25px; display: inline-block;">
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<span style="color: white; font-weight: bold; font-size: 18px;">⚡ Powered by Modal</span>
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</div>
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<p style="color: #00AAFF; margin-top: 5px; font-size: 14px;">Cloud execution for parallel evolution</p>
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</div>
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''')
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# Aurora effect at the top
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gr.HTML(AURORA_HTML)
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value=0,
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label="Generation"
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)
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gr.Markdown("### ⚡ Modal Performance")
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with gr.Row():
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variants_display = gr.Number(
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value=0,
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label="Variants Evaluated"
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)
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speed_display = gr.Textbox(
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value="0 variants/sec",
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label="Processing Speed"
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)
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with gr.Column(scale=2):
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gr.Markdown("### 📈 Fitness Evolution")
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if state["running"]:
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simulate_evolution()
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# Calculate speed
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speed = "0 variants/sec"
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if state["start_time"] and state["variants_evaluated"] > 0:
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elapsed = time.time() - state["start_time"]
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if elapsed > 0:
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speed = f"{state['variants_evaluated'] / elapsed:.2f} variants/sec"
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return {
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fitness_display: state["fitness_history"][-1] if state["fitness_history"] else 0.9333,
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generation_display: state["iteration"],
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variants_display: state["variants_evaluated"],
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speed_display: speed,
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fitness_chart: create_fitness_chart(),
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landscape_3d: create_3d_landscape(),
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code_display: format_code_display(),
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timer.tick(
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fn=update_all,
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outputs=[fitness_display, generation_display, variants_display, speed_display, fitness_chart, landscape_3d, code_display, event_log]
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)
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gr.Markdown("""
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