Add ParsertType Audio (#1637)

### What problem does this PR solve?

#1514 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

api/db/__init__.py

@@ -84,6 +84,7 @@ class ParserType(StrEnum):
     NAIVE = "naive"
     PICTURE = "picture"
     ONE = "one"
+    AUDIO = "audio"
 
 
 class FileSource(StrEnum):
@@ -96,4 +97,4 @@ class CanvasType(StrEnum):
     ChatBot = "chatbot"
     DocBot = "docbot"
 
-KNOWLEDGEBASE_FOLDER_NAME=".knowledgebase"
+KNOWLEDGEBASE_FOLDER_NAME=".knowledgebase"

api/db/init_data.py

@@ -121,6 +121,8 @@ def init_llm_factory():
     LLMFactoriesService.filter_delete([LLMFactoriesService.model.name == "QAnything"])
     LLMService.filter_delete([LLMService.model.fid == "QAnything"])
     TenantLLMService.filter_update([TenantLLMService.model.llm_factory == "QAnything"], {"llm_factory": "Youdao"})
+    TenantService.filter_update([1 == 1], {
+        "parser_ids": "naive:General,qa:Q&A,resume:Resume,manual:Manual,table:Table,paper:Paper,book:Book,laws:Laws,presentation:Presentation,picture:Picture,one:One,audio:Audio"})
     ## insert openai two embedding models to the current openai user.
     print("Start to insert 2 OpenAI embedding models...")
     tenant_ids = set([row["tenant_id"] for row in TenantLLMService.get_openai_models()])
@@ -143,7 +145,7 @@ def init_llm_factory():
     """
     drop table llm;
     drop table llm_factories;
-    update tenant set parser_ids='naive:General,qa:Q&A,resume:Resume,manual:Manual,table:Table,paper:Paper,book:Book,laws:Laws,presentation:Presentation,picture:Picture,one:One';
+    update tenant set parser_ids='naive:General,qa:Q&A,resume:Resume,manual:Manual,table:Table,paper:Paper,book:Book,laws:Laws,presentation:Presentation,picture:Picture,one:One,audio:Audio';
     alter table knowledgebase modify avatar longtext;
     alter table user modify avatar longtext;
     alter table dialog modify icon longtext;

api/db/services/llm_service.py

@@ -15,7 +15,7 @@
 #
 from api.db.services.user_service import TenantService
 from api.settings import database_logger
-from rag.llm import EmbeddingModel, CvModel, ChatModel, RerankModel
+from rag.llm import EmbeddingModel, CvModel, ChatModel, RerankModel, Seq2txtModel
 from api.db import LLMType
 from api.db.db_models import DB, UserTenant
 from api.db.db_models import LLMFactories, LLM, TenantLLM
@@ -120,6 +120,14 @@ class TenantLLMService(CommonService):
             return ChatModel[model_config["llm_factory"]](
                 model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
 
+        if llm_type == LLMType.SPEECH2TEXT:
+            if model_config["llm_factory"] not in Seq2txtModel:
+                return
+            return Seq2txtModel[model_config["llm_factory"]](
+                model_config["api_key"], model_config["llm_name"], lang,
+                base_url=model_config["api_base"]
+            )
+
     @classmethod
     @DB.connection_context()
     def increase_usage(cls, tenant_id, llm_type, used_tokens, llm_name=None):
@@ -207,6 +215,14 @@ class LLMBundle(object):
                 "Can't update token usage for {}/IMAGE2TEXT".format(self.tenant_id))
         return txt
 
+    def transcription(self, audio):
+        txt, used_tokens = self.mdl.transcription(audio)
+        if not TenantLLMService.increase_usage(
+                self.tenant_id, self.llm_type, used_tokens):
+            database_logger.error(
+                "Can't update token usage for {}/SEQUENCE2TXT".format(self.tenant_id))
+        return txt
+
     def chat(self, system, history, gen_conf):
         txt, used_tokens = self.mdl.chat(system, history, gen_conf)
         if not TenantLLMService.increase_usage(