Fix HuggingFace model error.

rag/llm/chat_model.py

@@ -22,7 +22,7 @@
 from openai import OpenAI
 import openai
 from ollama import Client
-from rag.nlp import is_chinese
+from rag.nlp import is_chinese, is_english
 from rag.utils import num_tokens_from_string
 from groq import Groq
 import os
@@ -123,7 +123,7 @@ def __init__(self, key=None, model_name="", base_url=""):
             raise ValueError("Local llm url cannot be None")
         if base_url.split("/")[-1] != "v1":
             base_url = os.path.join(base_url, "v1")
-        super().__init__(key, model_name, base_url)
+        super().__init__(key, model_name.split("___")[0], base_url)
 
 
 class DeepSeekChat(Base):

rag/llm/embedding_model.py

@@ -745,7 +745,7 @@ def __init__(self, key, model_name, base_url=None):
         if not model_name:
             raise ValueError("Model name cannot be None")
         self.key = key
-        self.model_name = model_name
+        self.model_name = model_name.split("___")[0]
         self.base_url = base_url or "http://127.0.0.1:8080"
 
     def encode(self, texts: list):
@@ -775,6 +775,7 @@ def encode_queries(self, text):
         else:
             raise Exception(f"Error: {response.status_code} - {response.text}")
 
+
 class VolcEngineEmbed(OpenAIEmbed):
     def __init__(self, key, model_name, base_url="https://ark.cn-beijing.volces.com/api/v3"):
         if not base_url:

rag/llm/rerank_model.py

@@ -194,7 +194,7 @@ def __init__(self, key, model_name, base_url):
             "Content-Type": "application/json",
             "Authorization": f"Bearer {key}"
         }
-        self.model_name = model_name.replace("___LocalAI","")
+        self.model_name = model_name.split("___")[0]
 
     def similarity(self, query: str, texts: list):
         # noway to config Ragflow , use fix setting