Add translate.py: interactive zh<->en demo

translate.py

@@ -0,0 +1,47 @@
+"""Interactive zh<->en translation demo for Interpreter-Qwen3-1.7B.
+
+    pip install vllm
+    python translate.py                      # loads Ismantic/Interpreter-Qwen3-1.7B
+    python translate.py --model_path ./       # or a local snapshot dir
+
+Type a sentence + Enter; direction (zh->en / en->zh) is auto-detected by whether the
+line contains Chinese characters. Ctrl-C / Ctrl-D to quit. Uses the model's ChatML
+prompt format with <|im_end|> as the stop token and greedy decoding.
+"""
+import sys
+import argparse
+from vllm import LLM, SamplingParams
+
+PROMPT_ZH2EN = "Translate the following text from Chinese to English.\nChinese: {src}\nEnglish:"
+PROMPT_EN2ZH = "Translate the following text from English to Chinese.\nEnglish: {src}\nChinese:"
+
+
+def is_zh(s):
+    return any("一" <= c <= "鿿" for c in s)
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--model_path", default="Ismantic/Interpreter-Qwen3-1.7B")
+    ap.add_argument("--gpu_mem", type=float, default=0.5)
+    args = ap.parse_args()
+
+    llm = LLM(model=args.model_path, gpu_memory_utilization=args.gpu_mem, max_model_len=1024)
+    sp = SamplingParams(max_tokens=256, temperature=0, stop=["<|im_end|>"])
+
+    print("\n>>> Type a sentence and press Enter (zh<->en auto-detected). Ctrl-C / Ctrl-D to quit.\n")
+    try:
+        for line in sys.stdin:
+            src = line.strip()
+            if not src:
+                continue
+            tmpl = PROMPT_ZH2EN if is_zh(src) else PROMPT_EN2ZH
+            prompt = f"<|im_start|>user\n{tmpl.format(src=src)}<|im_end|>\n<|im_start|>assistant\n"
+            out = llm.generate([prompt], sp, use_tqdm=False)[0].outputs[0].text.strip()
+            print("->", out, "\n")
+    except (KeyboardInterrupt, EOFError):
+        print("\nbye")
+
+
+if __name__ == "__main__":
+    main()