refine manul parser (#131)

api/apps/conversation_app.py

@@ -274,6 +274,8 @@ def use_sql(question, field_map, tenant_id, chat_mdl):
         return retrievaler.sql_retrieval(sql, format="json"), sql
 
     tbl, sql = get_table()
+    if tbl is None:
+        return None, None
     if tbl.get("error") and tried_times <= 2:
         user_promt = """
         表名：{}；

api/apps/llm_app.py

@@ -107,7 +107,7 @@ def list():
         llms = LLMService.get_all()
         llms = [m.to_dict() for m in llms if m.status == StatusEnum.VALID.value]
         for m in llms:
-            m["available"] = m["fid"] in facts
+            m["available"] = m["fid"] in facts or m["llm_name"].lower() == "flag-embedding"
 
         res = {}
         for m in llms:

api/db/init_data.py

@@ -227,7 +227,7 @@ def init_llm_factory():
             "model_type": LLMType.CHAT.value
         }, {
             "fid": factory_infos[3]["name"],
-            "llm_name": "flag-enbedding",
+            "llm_name": "flag-embedding",
             "tags": "TEXT EMBEDDING,",
             "max_tokens": 128 * 1000,
             "model_type": LLMType.EMBEDDING.value
@@ -241,7 +241,7 @@ def init_llm_factory():
             "model_type": LLMType.CHAT.value
         }, {
             "fid": factory_infos[4]["name"],
-            "llm_name": "flag-enbedding",
+            "llm_name": "flag-embedding",
             "tags": "TEXT EMBEDDING,",
             "max_tokens": 128 * 1000,
             "model_type": LLMType.EMBEDDING.value

api/settings.py

@@ -72,13 +72,13 @@ default_llm = {
     },
     "Local": {
         "chat_model": "qwen-14B-chat",
-        "embedding_model": "flag-enbedding",
+        "embedding_model": "flag-embedding",
         "image2text_model": "",
         "asr_model": "",
     },
     "Moonshot": {
         "chat_model": "moonshot-v1-8k",
-        "embedding_model": "flag-enbedding",
+        "embedding_model": "",
         "image2text_model": "",
         "asr_model": "",
     }