Feat: add Zhipu GLM-ASR model (#10529)

### What problem does this PR solve?

Add Zhipu GLM-ASR model

### Type of change

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

conf/llm_factories.json

@@ -803,6 +803,12 @@
                     "tags": "TEXT EMBEDDING",
                     "max_tokens": 512,
                     "model_type": "embedding"
+                },
+                {
+                    "llm_name": "glm-asr",
+                    "tags": "SPEECH2TEXT",
+                    "max_tokens": 4096,
+                    "model_type": "speech2text"
                 }
             ]
         },

rag/llm/sequence2txt_model.py

@@ -245,6 +245,7 @@ class CometAPISeq2txt(Base):
         self.client = OpenAI(api_key=key, base_url=base_url)
         self.model_name = model_name
 
+
 class DeerAPISeq2txt(Base):
     _FACTORY_NAME = "DeerAPI"
 
@@ -253,3 +254,44 @@ class DeerAPISeq2txt(Base):
             base_url = "https://api.deerapi.com/v1"
         self.client = OpenAI(api_key=key, base_url=base_url)
         self.model_name = model_name
+
+
+class ZhipuSeq2txt(Base):
+    _FACTORY_NAME = "ZHIPU-AI"
+
+    def __init__(self, key, model_name="glm-asr", base_url="https://open.bigmodel.cn/api/paas/v4", **kwargs):
+        if not base_url:
+            base_url = "https://open.bigmodel.cn/api/paas/v4"
+        self.base_url = base_url
+        self.api_key = key
+        self.model_name = model_name
+        self.gen_conf = kwargs.get("gen_conf", {})
+        self.stream = kwargs.get("stream", False)
+
+    def transcription(self, audio_path):
+        payload = {
+            "model": self.model_name,
+            "temperature": str(self.gen_conf.get("temperature", 0.75)) or "0.75",
+            "stream": self.stream,
+        }
+
+        headers = {"Authorization": f"Bearer {self.api_key}"}
+        with open(audio_path, "rb") as audio_file:
+            files = {"file": audio_file}
+
+            try:
+                response = requests.post(
+                    url=f"{self.base_url}/audio/transcriptions",
+                    data=payload,
+                    files=files,
+                    headers=headers,
+                )
+                body = response.json()
+                if response.status_code == 200:
+                    full_content = body["text"]
+                    return full_content, num_tokens_from_string(full_content)
+                else:
+                    error = body["error"]
+                    return f"**ERROR**: code: {error['code']}, message: {error['message']}", 0
+            except Exception as e:
+                return "**ERROR**: " + str(e), 0