.

gradio_ui.py

@@ -2,27 +2,23 @@ import gradio as gr
 import subprocess
 
 def run_eval(inputs, native, other, outputs, api_url, api_token):
-    # 构造命令
+    timestamp = time.strftime("%Y%m%d-%H%M%S")  # 生成当前时间戳作为 model 名
+
     command = [
         "evalscope", "perf",
-        "--parallel", "20",
-        "--model", "Qwen2.5-0.5B-Instruct",
         "--url", api_url.strip(),
         "--api", "openai",
-        "--token", api_token.strip(),
-        "--dataset", "random",
-        "--min-tokens", "128",
-        "--max-tokens", "128",
-        "--prefix-length", "64",
-        "--min-prompt-length", "1024",
-        "--max-prompt-length", "2048",
+        "--model", timestamp,  # ✅ 使用时间戳作为 --model
+        "--dataset", "openqa",
+        "--max-tokens", "1024",
+        "--min-tokens", "1024",
+        "--parallel", "1",
+        "--max-prompt-length", "15360",
         "--number", "100",
-        "--tokenizer-path", "Qwen/Qwen2.5-0.5B-Instruct",
-        "--debug"
+        "--api-key", api_token.strip(),
     ]
 
-    # 执行并流式输出
-    yield "[Eval Started]\n"
+    yield f"[Eval Started @ {timestamp}]\n"
     try:
         process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1)
         for line in process.stdout:
@@ -31,8 +27,7 @@ def run_eval(inputs, native, other, outputs, api_url, api_token):
         process.wait()
     except Exception as e:
         yield f"[Error] {str(e)}\n"
-    yield "[Eval Finished]"
-
+    yield "[Eval Finished]\n"
 def enforce_input_exclusive_and_toggle_fields(selected):
     group1 = {"API Models", "Local Models"}
     group2 = {"Benchmarks", "Custom Datasets"}