:feat 新增模型配置页面和相关功能

- 新增模型配置页面组件和路由
- 实现模型配置表单和相关逻辑- 添加全局配置入口和功能- 优化首页布局和样式- 新增 404 页面组件
- 更新部分组件样式和结构

backend/app/gpt/base.py

@@ -10,4 +10,8 @@ class GPT(ABC):
         :param source: 
         :return:
         '''
+        pass
+    def create_messages(self, segments:list,**kwargs)->list:
+        pass
+    def list_models(self):
         pass

backend/app/gpt/gpt_factory.py

@@ -0,0 +1,13 @@
+from openai import OpenAI
+
+from app.gpt.base import GPT
+from app.gpt.provider.OpenAI_compatible_provider import OpenAICompatibleProvider
+from app.gpt.universal_gpt import UniversalGPT
+from app.models.model_config import ModelConfig
+
+
+class GPTFactory:
+    @staticmethod
+    def from_config(config: ModelConfig) -> GPT:
+        client = OpenAICompatibleProvider(api_key=config.api_key, base_url=config.base_url).get_client()
+        return UniversalGPT(client=client, model=config.model_name)

backend/app/gpt/openai_gpt.py

@@ -2,6 +2,7 @@ from typing import List
 from app.gpt.base import GPT
 from openai import OpenAI
 from app.gpt.prompt import BASE_PROMPT, AI_SUM, SCREENSHOT, LINK
+from app.gpt.provider.OpenAI_compatible_provider import OpenAICompatibleProvider
 from app.gpt.utils import fix_markdown
 from app.models.gpt_model import GPTSource
 from app.models.transcriber_model import TranscriptSegment
@@ -15,7 +16,7 @@ class OpenaiGPT(GPT):
         self.base_url = getenv("OPENAI_API_BASE_URL")
         self.model=getenv('OPENAI_MODEL')
         print(self.model)
-        self.client = OpenAI(api_key=self.api_key, base_url=self.base_url)
+        self.client = OpenAICompatibleProvider(api_key=self.api_key, base_url=self.base_url)
         self.screenshot = False
         self.link=False
 
@@ -49,17 +50,20 @@ class OpenaiGPT(GPT):
 
         print(content)
         return [{"role": "user", "content": content + AI_SUM}]
-
+    def list_models(self):
+        return self.client.list_models()
     def summarize(self, source: GPTSource) -> str:
         self.screenshot = source.screenshot
         self.link = source.link
         source.segment = self.ensure_segments_type(source.segment)
         messages = self.create_messages(source.segment, source.title,source.tags)
-        response = self.client.chat.completions.create(
+        response = self.client.chat(
             model=self.model,
             messages=messages,
             temperature=0.7
         )
         return response.choices[0].message.content.strip()
 
-
+if __name__ == '__main__':
+    gpt = OpenaiGPT()
+    print(gpt.list_models())

backend/app/gpt/provider/OpenAI_compatible_provider.py

@@ -0,0 +1,22 @@
+from typing import Optional, Union
+
+from openai import OpenAI
+
+class OpenAICompatibleProvider:
+    def __init__(self, api_key: str, base_url: str, model: Union[str, None]=None):
+        self.client = OpenAI(api_key=api_key, base_url=base_url)
+        self.model = model
+
+    @property
+    def get_client(self):
+        return self.client
+
+    @staticmethod
+    def test_connection(api_key: str, base_url: str) -> bool:
+        try:
+            client = OpenAI(api_key=api_key, base_url=base_url)
+            client.models.list()
+            return True
+        except Exception as e:
+            print(f"Error connecting to OpenAI API: {e}")
+            return False

backend/app/gpt/qwen_gpt.py

@@ -2,6 +2,7 @@ from typing import List
 from app.gpt.base import GPT
 from openai import OpenAI
 from app.gpt.prompt import BASE_PROMPT, AI_SUM, SCREENSHOT
+from app.gpt.provider.OpenAI_compatible_provider import OpenAICompatibleProvider
 from app.gpt.utils import fix_markdown
 from app.models.gpt_model import GPTSource
 from app.models.transcriber_model import TranscriptSegment
@@ -15,7 +16,7 @@ class QwenGPT(GPT):
         self.base_url = getenv("QWEN_API_BASE_URL")
         self.model=getenv('QWEN_MODEL')
         print(self.model)
-        self.client = OpenAI(api_key=self.api_key, base_url=self.base_url)
+        self.client = OpenAICompatibleProvider(api_key=self.api_key, base_url=self.base_url)
         self.screenshot = False
 
     def _format_time(self, seconds: float) -> str:
@@ -44,7 +45,8 @@ class QwenGPT(GPT):
             content += SCREENSHOT
         print(content)
         return [{"role": "user", "content": content + AI_SUM}]
-
+    def list_models(self):
+        return self.client.list_models()
     def summarize(self, source: GPTSource) -> str:
         self.screenshot = source.screenshot
         source.segment = self.ensure_segments_type(source.segment)
@@ -56,4 +58,6 @@ class QwenGPT(GPT):
         )
         return response.choices[0].message.content.strip()
 
-
+if __name__ == '__main__':
+    gpt = QwenGPT()
+    print(gpt.list_models())

backend/app/gpt/test.py

@@ -0,0 +1,17 @@
+from app.models.model_config import ModelConfig
+
+if __name__ == '__main__':
+    from app.gpt.gpt_factory import GPTFactory
+    # 构建模型config
+    config=ModelConfig(
+        id='asas',
+        api_key='',
+        base_url='',
+        model_name="gpt-4o",
+        provider='openai',
+        name='gpt-4o'
+    )
+    # 构建GPT
+    gpt=GPTFactory().from_config(config)
+
+

backend/app/gpt/universal_gpt.py

@@ -0,0 +1,62 @@
+from app.gpt.base import GPT
+from app.models.gpt_model import GPTSource
+from app.gpt.prompt import BASE_PROMPT, AI_SUM, SCREENSHOT, LINK
+from app.gpt.utils import fix_markdown
+from app.models.transcriber_model import TranscriptSegment
+from datetime import timedelta
+from typing import List
+
+class UniversalGPT(GPT):
+    def __init__(self, client, model: str, temperature: float = 0.7):
+        self.client = client
+        self.model = model
+        self.temperature = temperature
+        self.screenshot = False
+        self.screenshot = False
+        self.link = False
+
+    def _format_time(self, seconds: float) -> str:
+        return str(timedelta(seconds=int(seconds)))[2:]
+
+    def _build_segment_text(self, segments: List[TranscriptSegment]) -> str:
+        return "\n".join(
+            f"{self._format_time(seg.start)} - {seg.text.strip()}"
+            for seg in segments
+        )
+
+    def ensure_segments_type(self, segments) -> List[TranscriptSegment]:
+        return [TranscriptSegment(**seg) if isinstance(seg, dict) else seg for seg in segments]
+
+    def create_messages(self, segments: List[TranscriptSegment],**kwargs):
+        content = BASE_PROMPT.format(
+            video_title=kwargs.get('title'),
+            segment_text=self._build_segment_text(segments),
+            tags=kwargs.get('tags')
+        )
+        if self.screenshot:
+            print(":需要截图")
+            content += SCREENSHOT
+        if self.link:
+            print(":需要链接")
+            content += LINK
+
+        print(content)
+        return [{"role": "user", "content": content + AI_SUM}]
+
+    def list_models(self):
+        return self.client.list_models()
+    def summarize(self, source: GPTSource) -> str:
+        self.screenshot = source.screenshot
+        self.link = source.link
+        source.segment = self.ensure_segments_type(source.segment)
+        messages = self.create_messages(source.segment, source.title,source.tags)
+        response = self.client.chat(
+            model=self.model,
+            messages=messages,
+            temperature=0.7
+        )
+        return response.choices[0].message.content.strip()
+
+if __name__ == '__main__':
+    print('s')
+