feat(vlm): make prompt a config

memos/config.py

@@ -10,6 +10,7 @@ from pydantic_settings import (
 from pydantic import BaseModel, SecretStr
 import yaml
 from collections import OrderedDict
+import io
 
 
 class VLMSettings(BaseModel):
@@ -19,6 +20,7 @@ class VLMSettings(BaseModel):
     token: str = ""
     concurrency: int = 1
     force_jpeg: bool = False
+    prompt: str = "请帮描述这个图片中的内容，包括画面格局、出现的视觉元素等"
 
 
 class OCRSettings(BaseModel):
@@ -123,14 +125,21 @@ def create_default_config():
     if not config_path.exists():
         settings = Settings()
         os.makedirs(config_path.parent, exist_ok=True)
-        with open(config_path, "w") as f:
+        
-            # Convert settings to a dictionary and ensure order
+        # 将设置转换为字典并确保顺序
         settings_dict = settings.model_dump()
         ordered_settings = OrderedDict(
             (key, settings_dict[key]) for key in settings.model_fields.keys()
         )
-            yaml.dump(ordered_settings, f, Dumper=yaml.Dumper)
         
+        # 使用 io.StringIO 作为中间步骤
+        with io.StringIO() as string_buffer:
+            yaml.dump(ordered_settings, string_buffer, allow_unicode=True, Dumper=yaml.Dumper)
+            yaml_content = string_buffer.getvalue()
+        
+        # 将内容写入文件，确保使用 UTF-8 编码
+        with open(config_path, "w", encoding="utf-8") as f:
+            f.write(yaml_content)
 
 # Create default config if it doesn't exist
 create_default_config()

memos/plugins/vlm/main.py

@@ -13,7 +13,6 @@ import numpy as np
 
 
 PLUGIN_NAME = "vlm"
-PROMPT = "请帮我尽量详尽的描述这个图片中的内容，包括文字内容、视觉元素等"
 
 router = APIRouter(tags=[PLUGIN_NAME], responses={404: {"description": "Not found"}})
 
@@ -23,6 +22,7 @@ token = None
 concurrency = None
 semaphore = None
 force_jpeg = None
+prompt = None
 
 # Configure logger
 logging.basicConfig(level=logging.INFO)
@@ -133,7 +133,7 @@ async def predict_remote(
                         "type": "image_url",
                         "image_url": {"url": f"data:{mime_type};base64,{img_base64}"},
                     },
-                    {"type": "text", "text": PROMPT},
+                    {"type": "text", "text": prompt},  # Use the global prompt variable here
                 ],
             }
         ],
@@ -224,13 +224,14 @@ async def vlm(entity: Entity, request: Request):
 
 
 def init_plugin(config):
-    global modelname, endpoint, token, concurrency, semaphore, force_jpeg
+    global modelname, endpoint, token, concurrency, semaphore, force_jpeg, prompt
 
     modelname = config.modelname
     endpoint = config.endpoint
     token = config.token
     concurrency = config.concurrency
     force_jpeg = config.force_jpeg
+    prompt = config.prompt
     semaphore = asyncio.Semaphore(concurrency)
 
     # Print the parameters
@@ -240,4 +241,5 @@ def init_plugin(config):
     logger.info(f"Token: {token}")
     logger.info(f"Concurrency: {concurrency}")
     logger.info(f"Force JPEG: {force_jpeg}")
+    logger.info(f"Prompt: {prompt}")