Update app.py

app.py

@@ -11,7 +11,7 @@ dashscope.base_http_api_url = "https://dashscope.aliyuncs.com/api/v1"
 
 def asr_inference(audio_file, context, language, enable_itn):
     if not audio_file:
-        return "请上传音频文件"
+        return "Please upload an audio file"
 
     messages = [
         {
@@ -69,49 +69,49 @@ def asr_inference(audio_file, context, language, enable_itn):
                         else:
                             result_lang = None
                     else:
-                        result_text = "未找到文本内容"
+                        result_text = "No text content found"
                         result_lang = None
                 else:
-                    result_text = "响应结构不完整"
+                    result_text = "Incomplete response structure"
                     result_lang = None
             else:
-                result_text = "响应中没有找到识别结果"
+                result_text = "No recognition result found in response"
                 result_lang = None
         else:
-            status_code = getattr(response, 'status_code', '未知')
-            error_msg = getattr(response, 'message', '未知错误')
-            result_text = f"请求失败 (状态码: {status_code}): {error_msg}"
+            status_code = getattr(response, 'status_code', 'Unknown')
+            error_msg = getattr(response, 'message', 'Unknown error')
+            result_text = f"Request failed (Status: {status_code}): {error_msg}"
             result_lang = None
             
     except Exception as e:
-        result_text = f"处理出错: {str(e)}"
+        result_text = f"Processing error: {str(e)}"
         result_lang = None
 
-    # 映射 result_lang 为中文/英文名称
+    # Map result_lang to display name
     lang_display = {
-        "auto": "自动识别 / Auto Detect",
-        "zh": "中文 / Chinese",
-        "en": "英文 / English",
-        "ja": "日文 / Japanese",
-        "ko": "韩文 / Korean",
-        "es": "西班牙文 / Spanish",
-        "fr": "法文 / French",
-        "de": "德文 / German",
-        "ar": "阿拉伯文 / Arabic",
-        "it": "意大利文 / Italian",
-        "ru": "俄文 / Russian",
-        "pt": "葡萄牙文 / Portuguese"
+        "auto": "Auto Detect",
+        "zh": "Chinese",
+        "en": "English",
+        "ja": "Japanese",
+        "ko": "Korean",
+        "es": "Spanish",
+        "fr": "French",
+        "de": "German",
+        "ar": "Arabic",
+        "it": "Italian",
+        "ru": "Russian",
+        "pt": "Portuguese"
     }
     if result_lang in lang_display:
         result_lang = lang_display[result_lang]
     elif result_lang is not None:
-        result_lang = f"未知语种 / Unknown ({result_lang})"
+        result_lang = f"Unknown Language ({result_lang})"
 
     return result_text, result_lang
 
 
-with gr.Blocks(theme=gr.themes.Soft(), title="语音识别工具") as demo:
-    # ========== LOGO 区域（居中 + 放大） ==========
+with gr.Blocks(theme=gr.themes.Soft(), title="Speech Recognition Tool") as demo:
+    # ========== LOGO Area (Centered + Enlarged) ==========
     gr.Markdown("""
     <div style="width: 100%; display: flex; justify-content: center; margin: 30px 0;">
         <img src="https://modelscope.oss-cn-beijing.aliyuncs.com/resource/00EE8C99-9C05-4236-A6D0-B58FF172D31B.png" 
@@ -121,48 +121,47 @@ with gr.Blocks(theme=gr.themes.Soft(), title="语音识别工具") as demo:
     </div>
     """, sanitize_html=False)
 
-    # ========== API 链接预留区域 ==========
+    # ========== API Documentation Link ==========
     gr.Markdown("""
     <div style="text-align: center; margin: 10px 0; font-size: 14px; color: #555;">
         🌐 <a href="https://help.aliyun.com/zh/dashscope/developer-reference/" 
               target="_blank" 
               style="color: #0066cc; text-decoration: none;">
-              查看 DashScope API 文档
+              View DashScope API Documentation
         </a>
     </div>
     """, sanitize_html=False)
 
-    gr.Markdown("上传音频文件，获取语音转文字结果。\n支持指定任意格式的上下文信息以获取定制化的识别结果。支持语言识别和逆文本标准化。")
+    gr.Markdown("Upload an audio file to get speech-to-text results.\nSupports custom context for tailored recognition. Supports language detection and inverse text normalization.")
 
     with gr.Row():
         with gr.Column():
-            audio_input = gr.Audio(label="🎤 上传音频", type="filepath")
-            context_input = gr.Textbox(label="📝 上下文信息（可选）", value="", interactive=True)
+            audio_input = gr.Audio(label="🎤 Upload Audio", type="filepath")
+            context_input = gr.Textbox(label="📝 Context (Optional)", value="", interactive=True)
             language = gr.Dropdown(
-                label="🌍 语言设置",
+                label="🌍 Language Setting",
                 choices=[
-                    ("自动识别 / Auto Detect", "auto"),
-                    ("中文 / Chinese", "zh"),
-                    ("英文 / English", "en"),
-                    ("日文 / Japanese", "ja"),
-                    ("韩文 / Korean", "ko"),
-                    ("西班牙文 / Spanish", "es"),
-                    ("法文 / French", "fr"),
-                    ("德文 / German", "de"),
-                    ("阿拉伯文 / Arabic", "ar"),
-                    ("意大利文 / Italian", "it"),
-                    ("俄文 / Russian", "ru"),
-                    ("葡萄牙文 / Portuguese", "pt")
+                    ("Auto Detect", "auto"),
+                    ("Chinese", "zh"),
+                    ("English", "en"),
+                    ("Japanese", "ja"),
+                    ("Korean", "ko"),
+                    ("Spanish", "es"),
+                    ("French", "fr"),
+                    ("German", "de"),
+                    ("Arabic", "ar"),
+                    ("Italian", "it"),
+                    ("Russian", "ru"),
+                    ("Portuguese", "pt")
                 ],
                 value="auto"
             )
-            # enable_lid = gr.Checkbox(label="✅ 启用语言识别（LID）", value=True)
-            enable_itn = gr.Checkbox(label="🔄 启用逆文本标准化（ITN）", value=False)
-            submit_btn = gr.Button("🚀 开始识别", variant="primary")
+            enable_itn = gr.Checkbox(label="🔄 Enable Inverse Text Normalization (ITN)", value=False)
+            submit_btn = gr.Button("🚀 Start Recognition", variant="primary")
 
         with gr.Column():
-            text_output = gr.Textbox(label="📝 识别结果", interactive=False, lines=6, max_lines=12)
-            lang_output = gr.Textbox(label="📝 语种检测结果（仅在auto模式下返回）", interactive=False, lines=1, max_lines=12)
+            text_output = gr.Textbox(label="📝 Recognition Result", interactive=False, lines=6, max_lines=12)
+            lang_output = gr.Textbox(label="📝 Detected Language (only in auto mode)", interactive=False, lines=1, max_lines=12)
 
     submit_btn.click(
         fn=asr_inference,
@@ -171,42 +170,39 @@ with gr.Blocks(theme=gr.themes.Soft(), title="语音识别工具") as demo:
     )
     
     gr.Markdown("---")
-    gr.Markdown("💡 **使用提示**：")
-    gr.Markdown("- 支持 MP3、WAV 等常见音频格式")
-    gr.Markdown("- 启用 LID 可自动识别语音语言")
-    gr.Markdown("- 以任意格式配置 context 信息可以获取定制化的文本结果，纠正命名实体名称等")
-    gr.Markdown("- 启用 ITN 可将数字、日期等转换为标准文本格式")
-
-    # 方法1：使用 HTML 手动创建示例按钮（推荐）
-    gr.Markdown("### 💡 示例")
+    gr.Markdown("💡 **Tips**:")
+    gr.Markdown("- Supports common audio formats: MP3, WAV, etc.")
+    gr.Markdown("- Enable LID to auto-detect spoken language")
+    gr.Markdown("- Use context to customize output, e.g., correct named entities")
+    gr.Markdown("- Enable ITN to convert numbers/dates to standardized text")
+
+    # Example Section
+    gr.Markdown("### 💡 Examples")
     
-    # 定义示例数据
     examples_data = {
-        "Example 1 - CSGO比赛": {
+        "Example 1 - CSGO Match": {
             "audio": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-ASR/csgo.wav",
             "context": "A csgo match between NAVI and FazeClan in Major Paris 2023. S1mple and B1t are in NAVI. Ropz, Rain, Karrigan and Twistzz are in Faze.",
-            "description": "游戏解说示例（包含专业术语）"
+            "description": "Game commentary (with professional terms)"
         },
-        "Example 2 - 噪音环境": {
+        "Example 2 - Noisy Environment": {
             "audio": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-ASR/noise3.wav",
             "context": "",
-            "description": "噪音环境下的语音识别"
+            "description": "Speech recognition in noisy environment"
         },
-        "Example 3 - 复杂音频": {
+        "Example 3 - Complex Audio": {
             "audio": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-ASR/noise1.wav",
             "context": "",
-            "description": "复杂背景音频处理"
+            "description": "Processing audio with complex background"
         }
     }
     
-    # 创建示例按钮
     with gr.Row():
         for title, data in examples_data.items():
             with gr.Column():
                 example_btn = gr.Button(f"📎 {title}", variant="secondary", size="sm")
                 gr.Markdown(f"*{data['description']}*", elem_classes=["example-desc"])
                 
-                # 为每个按钮创建点击事件
                 example_btn.click(
                     fn=lambda audio=data['audio'], context=data['context']: (audio, context),
                     outputs=[audio_input, context_input]