126 lines
4.9 KiB
Python
126 lines
4.9 KiB
Python
import json
|
||
import time
|
||
import uuid
|
||
import requests
|
||
|
||
from Config.Config import HS_APP_ID, HS_ACCESS_TOKEN
|
||
|
||
|
||
class ASRClient:
|
||
def __init__(self, appid=None, token=None, file_url=None):
|
||
self.appid = appid or HS_APP_ID
|
||
self.token = token or HS_ACCESS_TOKEN
|
||
self.file_url = file_url or "https://ttc-advisory-oss.oss-cn-hangzhou.aliyuncs.com/lark_audio/int/T_APLA_1941058348698869760.mp3"
|
||
self.submit_url = "https://openspeech-direct.zijieapi.com/api/v3/auc/bigmodel/submit"
|
||
self.query_url = "https://openspeech-direct.zijieapi.com/api/v3/auc/bigmodel/query"
|
||
self.task_id = None
|
||
self.x_tt_logid = None
|
||
|
||
def _prepare_headers(self, task_id=None):
|
||
"""准备请求头"""
|
||
headers = {
|
||
"X-Api-App-Key": self.appid,
|
||
"X-Api-Access-Key": self.token,
|
||
"X-Api-Resource-Id": "volc.bigasr.auc",
|
||
"X-Api-Request-Id": task_id or str(uuid.uuid4()),
|
||
}
|
||
if task_id and self.x_tt_logid:
|
||
headers["X-Tt-Logid"] = self.x_tt_logid
|
||
else:
|
||
headers["X-Api-Sequence"] = "-1"
|
||
return headers
|
||
|
||
def _prepare_request_body(self):
|
||
"""准备请求体"""
|
||
return {
|
||
"user": {
|
||
"uid": "fake_uid"
|
||
},
|
||
"audio": {
|
||
"url": self.file_url
|
||
},
|
||
"request": {
|
||
"model_name": "bigmodel",
|
||
"enable_channel_split": True,
|
||
"enable_ddc": True,
|
||
"enable_speaker_info": True,
|
||
"enable_punc": True,
|
||
"enable_itn": True,
|
||
"corpus": {
|
||
"correct_table_name": "",
|
||
"context": ""
|
||
}
|
||
}
|
||
}
|
||
|
||
def submit_task(self):
|
||
"""提交ASR任务"""
|
||
headers = self._prepare_headers()
|
||
self.task_id = headers["X-Api-Request-Id"]
|
||
request_body = self._prepare_request_body()
|
||
|
||
print(f'Submit task id: {self.task_id}')
|
||
response = requests.post(self.submit_url, data=json.dumps(request_body), headers=headers)
|
||
|
||
if 'X-Api-Status-Code' in response.headers and response.headers["X-Api-Status-Code"] == "20000000":
|
||
print(f'Submit task response header X-Api-Status-Code: {response.headers["X-Api-Status-Code"]}')
|
||
print(f'Submit task response header X-Api-Message: {response.headers["X-Api-Message"]}')
|
||
self.x_tt_logid = response.headers.get("X-Tt-Logid", "")
|
||
print(f'Submit task response header X-Tt-Logid: {self.x_tt_logid}\n')
|
||
return self.task_id, self.x_tt_logid
|
||
else:
|
||
print(f'Submit task failed and the response headers are: {response.headers}')
|
||
exit(1)
|
||
|
||
def query_task(self):
|
||
"""查询ASR任务状态"""
|
||
if not self.task_id or not self.x_tt_logid:
|
||
print("Task not submitted yet. Please call submit_task() first.")
|
||
exit(1)
|
||
|
||
headers = self._prepare_headers(self.task_id)
|
||
response = requests.post(self.query_url, json.dumps({}), headers=headers)
|
||
|
||
if 'X-Api-Status-Code' in response.headers:
|
||
print(f'Query task response header X-Api-Status-Code: {response.headers["X-Api-Status-Code"]}')
|
||
print(f'Query task response header X-Api-Message: {response.headers["X-Api-Message"]}')
|
||
print(f'Query task response header X-Tt-Logid: {response.headers["X-Tt-Logid"]}\n')
|
||
else:
|
||
print(f'Query task failed and the response headers are: {response.headers}')
|
||
exit(1)
|
||
return response
|
||
|
||
def extract_text_from_result(self, result):
|
||
"""从识别结果中提取文本内容"""
|
||
if isinstance(result, dict) and 'result' in result and 'text' in result['result']:
|
||
return result['result']['text']
|
||
return ""
|
||
|
||
def process_task(self):
|
||
"""处理ASR任务：提交并轮询结果"""
|
||
self.submit_task()
|
||
while True:
|
||
query_response = self.query_task()
|
||
code = query_response.headers.get('X-Api-Status-Code', "")
|
||
if code == '20000000': # task finished
|
||
result_json = query_response.json()
|
||
# 提取并返回文本内容
|
||
text_content = self.extract_text_from_result(result_json)
|
||
print(f"识别文本: {text_content}")
|
||
return text_content
|
||
elif code != '20000001' and code != '20000002': # task failed
|
||
print("FAILED!")
|
||
exit(1)
|
||
time.sleep(1)
|
||
|
||
|
||
|
||
|
||
if __name__ == '__main__':
|
||
# 使用指定的音频文件URL进行测试
|
||
audio_url = "https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/Temp/temp_audio_20250822085243.wav"
|
||
# 创建ASR客户端实例，传入指定的音频文件URL
|
||
asr_client = ASRClient(file_url=audio_url)
|
||
# 处理ASR任务并获取文本结果
|
||
text_result = asr_client.process_task()
|