chore: remove AMD Benchmark tab — unrelated to medical use case

app.py

@@ -574,86 +574,6 @@ def predict(image, symptoms: str, lang_choice: str, selected_regions):
 # Benchmark
 # ---------------------------------------------------------------------------
 
-_BENCH_PROMPTS = [
-    "Describe a mild skin rash.",
-    "What is contact dermatitis?",
-    "Signs of superficial wound infection?",
-    "Describe eczema symptoms briefly.",
-    "What causes tinea corporis?",
-]
-
-
-def run_benchmark(n_runs: int):
-    import time as _time
-    from src.model_loader import generate_response as _gen
-
-    n_runs = int(n_runs)
-    rows = []
-    latencies = []
-    throughputs = []
-
-    for i in range(n_runs):
-        prompt = _BENCH_PROMPTS[i % len(_BENCH_PROMPTS)]
-        try:
-            _, metrics = _gen(prompt)
-            lat = metrics.get("latency_ms", 0)
-            tps = metrics.get("tokens_per_sec", 0)
-            tok = metrics.get("total_tokens", 0)
-            latencies.append(lat)
-            throughputs.append(tps)
-            status = "✓"
-            rows.append((i + 1, lat, tps, tok, status))
-        except Exception as exc:
-            rows.append((i + 1, "—", "—", "—", f"✗ {str(exc)[:40]}"))
-
-    # Build table
-    header = (
-        "<tr style='border-bottom:1px solid #374151;'>"
-        "<th style='padding:6px 12px; text-align:left; color:#6b7280; font-weight:500;'>#</th>"
-        "<th style='padding:6px 12px; text-align:right; color:#6b7280; font-weight:500;'>Latency (ms)</th>"
-        "<th style='padding:6px 12px; text-align:right; color:#6b7280; font-weight:500;'>Throughput (tok/s)</th>"
-        "<th style='padding:6px 12px; text-align:right; color:#6b7280; font-weight:500;'>Total tokens</th>"
-        "<th style='padding:6px 12px; text-align:center; color:#6b7280; font-weight:500;'>Status</th>"
-        "</tr>"
-    )
-    body = ""
-    for run_i, lat, tps, tok, status in rows:
-        body += (
-            f"<tr style='border-bottom:1px solid #1f2937;'>"
-            f"<td style='padding:5px 12px; color:#9ca3af;'>{run_i}</td>"
-            f"<td style='padding:5px 12px; text-align:right; color:#d1d5db;'>{lat:,}" + (" ms" if isinstance(lat, int) else "") + "</td>"
-            f"<td style='padding:5px 12px; text-align:right; color:#d1d5db;'>{tps}</td>"
-            f"<td style='padding:5px 12px; text-align:right; color:#d1d5db;'>{tok}</td>"
-            f"<td style='padding:5px 12px; text-align:center; color:#6b7280; font-size:0.85rem;'>{status}</td>"
-            f"</tr>"
-        )
-
-    summary = ""
-    if latencies:
-        avg_lat = round(sum(latencies) / len(latencies))
-        avg_tps = round(sum(throughputs) / len(throughputs), 1)
-        min_lat = min(latencies)
-        max_lat = max(latencies)
-        summary = (
-            f"<div style='display:flex; gap:24px; flex-wrap:wrap; margin-top:14px; "
-            f"padding:10px 14px; background:#1f2937; border-radius:8px;'>"
-            f"<span style='font-size:0.78rem; color:#6b7280;'>Avg latency: <b style='color:#9ca3af;'>{avg_lat} ms</b></span>"
-            f"<span style='font-size:0.78rem; color:#6b7280;'>Min: <b style='color:#9ca3af;'>{min_lat} ms</b></span>"
-            f"<span style='font-size:0.78rem; color:#6b7280;'>Max: <b style='color:#9ca3af;'>{max_lat} ms</b></span>"
-            f"<span style='font-size:0.78rem; color:#6b7280;'>Avg throughput: <b style='color:#9ca3af;'>{avg_tps} tok/s</b></span>"
-            f"<span style='font-size:0.78rem; color:#6b7280;'>Runs: <b style='color:#9ca3af;'>{len(latencies)}/{n_runs}</b></span>"
-            f"</div>"
-        )
-
-    return (
-        f"<div style='font-family:monospace;'>"
-        f"<table style='width:100%; border-collapse:collapse; font-size:0.82rem;'>{header}{body}</table>"
-        f"{summary}"
-        f"<div style='font-size:0.68rem; color:#374151; margin-top:8px;'>AMD Instinct™ MI300X · ROCm · vLLM</div>"
-        f"</div>"
-    )
-
-
 # ---------------------------------------------------------------------------
 # CSS
 # ---------------------------------------------------------------------------
@@ -708,20 +628,6 @@ footer { display: none !important; }
 #lang-col { min-width: 180px !important; max-width: 200px !important; }
 #lang-col label span { text-transform: none !important; font-size: 0.78rem !important; }
 
-/* ── Tabs: muted style, benchmark tab clearly secondary ─────────── */
-#main-tabs > .tab-nav { border-bottom: 1px solid #1f2937 !important; }
-#main-tabs > .tab-nav button {
-    font-size: 0.82rem !important;
-    color: #6b7280 !important;
-    background: transparent !important;
-    border: none !important;
-    padding: 8px 16px !important;
-}
-#main-tabs > .tab-nav button.selected {
-    color: #f9fafb !important;
-    border-bottom: 2px solid #ED1C24 !important;
-}
-#bench-tab { opacity: 0.9; }
 """
 
 # ---------------------------------------------------------------------------
@@ -783,14 +689,10 @@ with gr.Blocks(css=CSS, theme=gr.themes.Base(), title="MediVision — AMD MI300X
                 show_label=False,
             )
 
-    with gr.Tabs(elem_id="main-tabs"):
-
-      with gr.TabItem("Analysis"):
-
-        # ── Main content ──────────────────────────────────────────────────────────
-        with gr.Row(equal_height=False):
+    # ── Main content ──────────────────────────────────────────────────────────
+    with gr.Row(equal_height=False):
 
-          with gr.Column(scale=1, min_width=300):
+        with gr.Column(scale=1, min_width=300):
             input_img = gr.Image(
                 type="filepath",
                 label="Upload Medical Image",
@@ -830,25 +732,12 @@ with gr.Blocks(css=CSS, theme=gr.themes.Base(), title="MediVision — AMD MI300X
                 label="Quick Examples",
             )
 
-          with gr.Column(scale=1, min_width=340):
+        with gr.Column(scale=1, min_width=340):
             output_html = gr.HTML(
                 value=_empty_output_html("en"),
                 label="Analysis Result",
             )
 
-      # ── Benchmark tab ─────────────────────────────────────────────────────
-      with gr.TabItem("⚙ AMD Benchmark", elem_id="bench-tab"):
-        gr.HTML("""
-<div style='color:#6b7280; font-size:0.8rem; padding:8px 0 12px;'>
-  Runs a series of short inference requests against the AMD Cloud backend and
-  measures latency and throughput. Results reflect live MI300X + ROCm performance.
-</div>""")
-        with gr.Row():
-            bench_runs = gr.Slider(minimum=3, maximum=10, value=5, step=1,
-                                   label="Number of runs", scale=2)
-            bench_btn  = gr.Button("▶  Run Benchmark", variant="secondary", scale=1)
-        bench_out = gr.HTML(value="<div style='color:#4b5563; font-size:0.8rem; padding:16px 0;'>Click Run Benchmark to start.</div>")
-
     # ── Events ───────────────────────────────────────────────────────────────
 
     region_selector.change(
@@ -876,12 +765,6 @@ with gr.Blocks(css=CSS, theme=gr.themes.Base(), title="MediVision — AMD MI300X
         outputs=[lang_radio, input_img, symptoms_txt, submit_btn, region_selector, body_map_html, output_html, status_bar],
     )
 
-    bench_btn.click(
-        fn=run_benchmark,
-        inputs=[bench_runs],
-        outputs=[bench_out],
-    )
-
     gr.HTML(FOOTER_HTML)