feat(webui): 增加文案生成模型设置和测试连接功能

- 在基本设置中添加新的视觉模型提供商选项
- 实现文本模型连接测试功能，支持 OpenAI、Moonshot、DeepSeek等提供商
- 更新多语言文案，增加新的提示信息

app/services/llm.py

@@ -354,7 +354,7 @@ def _generate_response(prompt: str, llm_provider: str = None) -> str:
     return content.replace("\n", "")
 
 
-def _generate_response_video(prompt: str, llm_provider_video: str, video_file: Union[str, File]) -> str:
+def _generate_response_video(prompt: str, llm_provider_video: str, video_file: Union[str, TextIO]) -> str:
     """
     多模态能力大模型
     """

app/test/test_gemini.py

@@ -5,8 +5,7 @@
 os.environ["HTTP_PROXY"] = config.proxy.get("http")
 os.environ["HTTPS_PROXY"] = config.proxy.get("https")
 
-genai.configure(api_key="AIzaSyBnKPxuPuBpZKGKuR_Sb9CwCIJYJF-N8DM")
-# genai.configure(api_key="AIzaSyCm33aPRAZ_P29gTALv0tRerMJwY3zJrq0")
+genai.configure(api_key="")
 model = genai.GenerativeModel("gemini-1.5-pro")
 
 

webui/components/basic_settings.py

@@ -116,7 +116,7 @@ def render_vision_llm_settings(tr):
     st.subheader(tr("Vision Model Settings"))
 
     # 视频分析模型提供商选择
-    vision_providers = ['Gemini', 'NarratoAPI']
+    vision_providers = ['Gemini', 'NarratoAPI(待发布)', 'QwenVL(待发布)']
     saved_vision_provider = config.app.get("vision_llm_provider", "Gemini").lower()
     saved_provider_index = 0
 
@@ -141,7 +141,18 @@ def render_vision_llm_settings(tr):
 
     # 渲染视觉模型配置输入框
     st_vision_api_key = st.text_input(tr("Vision API Key"), value=vision_api_key, type="password")
-    st_vision_base_url = st.text_input(tr("Vision Base URL"), value=vision_base_url)
+
+    # 当选择 Gemini 时禁用 base_url 输入
+    if vision_provider.lower() == 'gemini':
+        st_vision_base_url = st.text_input(
+            tr("Vision Base URL"), 
+            value=vision_base_url,
+            disabled=True,
+            help=tr("Gemini API does not require a base URL")
+        )
+    else:
+        st_vision_base_url = st.text_input(tr("Vision Base URL"), value=vision_base_url)
+
     st_vision_model_name = st.text_input(tr("Vision Model Name"), value=vision_model_name)
 
     # 在配置输入框后添加测试按钮
@@ -204,7 +215,7 @@ def render_vision_llm_settings(tr):
     #         tr("Vision Model API Key"),
     #         value=config.app.get("narrato_vision_key", ""),
     #         type="password",
-    #         help="用于视频分析的模型 API Key"
+    #         help="用于视频分析的模 API Key"
     #     )
     #
     #     if narrato_vision_model:
@@ -247,6 +258,76 @@ def render_vision_llm_settings(tr):
     #         st.session_state['narrato_batch_size'] = narrato_batch_size
 
 
+def test_text_model_connection(api_key, base_url, model_name, provider, tr):
+    """测试文本模型连接
+    
+    Args:
+        api_key: API密钥
+        base_url: 基础URL
+        model_name: 模型名称
+        provider: 提供商名称
+    
+    Returns:
+        bool: 连接是否成功
+        str: 测试结果消息
+    """
+    import requests
+
+    try:
+        # 构建统一的测试请求（遵循OpenAI格式）
+        headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json"
+        }
+
+        # 如果没有指定base_url，使用默认值
+        if not base_url:
+            if provider.lower() == 'openai':
+                base_url = "https://api.openai.com/v1"
+            elif provider.lower() == 'moonshot':
+                base_url = "https://api.moonshot.cn/v1"
+            elif provider.lower() == 'deepseek':
+                base_url = "https://api.deepseek.com/v1"
+
+        # 构建测试URL
+        test_url = f"{base_url.rstrip('/')}/chat/completions"
+
+        # 特殊处理Gemini
+        if provider.lower() == 'gemini':
+            import google.generativeai as genai
+            try:
+                genai.configure(api_key=api_key)
+                model = genai.GenerativeModel(model_name or 'gemini-pro')
+                model.generate_content("直接回复我文本'当前网络可用'")
+                return True, tr("Gemini model is available")
+            except Exception as e:
+                return False, f"{tr('Gemini model is not available')}: {str(e)}"
+
+        # 构建测试消息
+        test_data = {
+            "model": model_name,
+            "messages": [
+                {"role": "user", "content": "直接回复我文本'当前网络可用'"}
+            ],
+            "max_tokens": 10
+        }
+
+        # 发送测试请求
+        response = requests.post(
+            test_url,
+            headers=headers,
+            json=test_data,
+            timeout=10
+        )
+
+        if response.status_code == 200:
+            return True, tr("Text model is available")
+        else:
+            return False, f"{tr('Text model is not available')}: HTTP {response.status_code}"
+
+    except Exception as e:
+        return False, f"{tr('Connection failed')}: {str(e)}"
+
 def render_text_llm_settings(tr):
     """渲染文案生成模型设置"""
     st.subheader(tr("Text Generation Model Settings"))
@@ -279,6 +360,22 @@ def render_text_llm_settings(tr):
     st_text_base_url = st.text_input(tr("Text Base URL"), value=text_base_url)
     st_text_model_name = st.text_input(tr("Text Model Name"), value=text_model_name)
 
+    # 添加测试按钮
+    if st.button(tr("Test Connection"), key="test_text_connection"):
+        with st.spinner(tr("Testing connection...")):
+            success, message = test_text_model_connection(
+                api_key=st_text_api_key,
+                base_url=st_text_base_url,
+                model_name=st_text_model_name,
+                provider=text_provider,
+                tr=tr
+            )
+
+            if success:
+                st.success(message)
+            else:
+                st.error(message)
+
     # 保存文本模型配置
     if st_text_api_key:
         config.app[f"text_{text_provider}_api_key"] = st_text_api_key

webui/components/script_settings.py

@@ -535,6 +535,7 @@ def update_progress(progress: float, message: str = ""):
                         model_name=text_model,
                         api_key=text_api_key,
                         prompt=custom_prompt,
+                        base_url=text_base_url or "",
                         video_theme=st.session_state.get('video_theme', '')
                     )
 

webui/i18n/zh.json

@@ -132,6 +132,8 @@
     "NarratoAPI is available": "NarratoAPI 可用",
     "NarratoAPI is not available": "NarratoAPI 不可用",
     "Unsupported provider": "不支持的提供商",
-    "0: Keep the audio only, 1: Keep the original sound only, 2: Keep the original sound and audio": "0: 仅保留音频，1: 仅保留原声，2: 保留原声和音频"
+    "0: Keep the audio only, 1: Keep the original sound only, 2: Keep the original sound and audio": "0: 仅保留音频，1: 仅保留原声，2: 保留原声和音频",
+    "Text model is not available": "文案生成模型不可用",
+    "Text model is available": "文案生成模型可用"
   }
 }