Update app.py

app.py

@@ -20,11 +20,11 @@ def translate(text: str, src_lang: str, tgt_lang: str):
     return _translate(text, src_lang, tgt_lang)
 
 def _translate(text: str, src_lang: str, tgt_lang: str):
-    prompt = f"Translate the following text from {src_lang} to {tgt_lang}: {text}"
+    prompt = f"Translate the following text from {src_lang} to {tgt_lang}. Direct output translation result without any explaination:\n\n{text}"
     key=os.getenv('key')
     openai_client = openai.OpenAI(base_url="https://ssapi.cppbear.site/v1", api_key=key)
     response = openai_client.chat.completions.create(
-        model="gemini-2.5-flash",  # 如gpt-3.5-turbo或其他兼容模型
+        model="tbai.xin-dpsk-deepseek-v3",  # 如gpt-3.5-turbo或其他兼容模型
         messages=[{"role": "user", "content": prompt}],
         max_tokens=30240,
         temperature=0.0
@@ -39,9 +39,6 @@ description = """
 </div>
 We are excited to introduce Seed-X, a powerful series of open-source multilingual translation language models, including an instruction model, a reinforcement learning model, and a reward model. It pushes the boundaries of translation capabilities within 7 billion parameters. We develop Seed-X as an accessible, off-the-shelf tool to support the community in advancing translation research and applications:
 """
-disclaimer = """
-We are excited to introduce Seed-X, a powerful series of open-source multilingual translation language models, including an instruction model, a reinforcement learning model, and a reward model. It pushes the boundaries of translation capabilities within 7 billion parameters. We develop Seed-X as an accessible, off-the-shelf tool to support the community in advancing translation research and applications
-"""
 
 examples_inputs = [["Seed-X is indeed a good translation model ","English","Chinese"],]
 
@@ -62,6 +59,4 @@ with gr.Blocks() as demo:
         outputs=output,
     )
     examples = gr.Examples(examples=examples_inputs,inputs=[input_text, src_lang,target_lang], fn=translate, outputs=output, cache_examples=True)
-    with gr.Row():
-        gr.Markdown(disclaimer)
 demo.launch()