Update app.py

app.py

@@ -651,7 +651,7 @@ body { font-family: 'Segoe UI', system-ui, sans-serif; }
 def build_ui():
     hw_color = HW["color"]
 
-    with gr.Blocks(title="CurvOpt-LLM Optimizer", css=CSS, theme=gr.themes.Default()) as app:
+with gr.Blocks(title="CurvOpt-LLM Optimizer") as app:
 
         gr.HTML(f"""
         <div style="display:flex;align-items:center;justify-content:space-between;
@@ -738,12 +738,12 @@ def build_ui():
                             ppl_opt  = gr.Number(label="Optimized Perplexity", interactive=False)
                             ppl_d    = gr.Number(label="PPL Δ %", interactive=False)
 
-                        gr.Markdown("### ⬇️ Download Optimized Model")
+                        gr.Markdown("### Download Optimized Model")
                         dl_file  = gr.File(label="Optimized Model (ZIP — load with HuggingFace)")
                         dl_info  = gr.Markdown("")
 
             # ── TAB 2: COMPUTE FOOTPRINT ──────────────────────
-            with gr.TabItem("🌍 Compute Footprint"):
+            with gr.TabItem(" Compute Footprint"):
                 gr.Markdown("## Environmental Impact Analysis\n*Run the optimizer first — all values below come from real measurements.*")
 
                 with gr.Row():
@@ -754,15 +754,15 @@ def build_ui():
 
                 with gr.Row():
                     with gr.Column():
-                        gr.Markdown("### ⚡ Electricity (kWh / 1M tokens)")
+                        gr.Markdown("###  Electricity (kWh / 1M tokens)")
                         elec_base = gr.Number(label="Baseline", interactive=False)
                         elec_opt  = gr.Number(label="Optimized", interactive=False)
                     with gr.Column():
-                        gr.Markdown("### 🌿 Carbon CO₂e (g / 1M tokens)")
+                        gr.Markdown("###  Carbon CO₂e (g / 1M tokens)")
                         co2_base  = gr.Number(label="Baseline", interactive=False)
                         co2_opt   = gr.Number(label="Optimized", interactive=False)
                     with gr.Column():
-                        gr.Markdown("### 💧 Water (mL / 1M tokens)")
+                        gr.Markdown("###  Water (mL / 1M tokens)")
                         h2o_base  = gr.Number(label="Baseline", interactive=False)
                         h2o_opt   = gr.Number(label="Optimized", interactive=False)
 
@@ -802,7 +802,7 @@ def build_ui():
             info_md = ""
             if zip_path and os.path.exists(zip_path):
                 size_mb = os.path.getsize(zip_path) / (1024**2)
-                info_md = f"✅ **Model ready** — `{zip_path}` ({size_mb:.1f} MB)\n\nLoad with:\n```python\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\nmodel = AutoModelForCausalLM.from_pretrained('./optimized_model')\n```"
+                info_md = f"**Model ready** — `{zip_path}` ({size_mb:.1f} MB)\n\nLoad with:\n```python\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\nmodel = AutoModelForCausalLM.from_pretrained('./optimized_model')\n```"
 
             return (
                 "\n".join(log_buffer),
@@ -851,4 +851,10 @@ def build_ui():
 
 if __name__ == "__main__":
     ui = build_ui()
-    ui.launch()
+    ui.launch(
+        css=CSS,
+        theme=gr.themes.Default(),
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=True,         
+    )