mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-07-21 06:07:13 +08:00
Merge branch 'master' into wechatcom_app
This commit is contained in:
@@ -67,7 +67,7 @@ def num_tokens_from_messages(messages, model):
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elif model in ["gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0613", "gpt-3.5-turbo-0613",
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elif model in ["gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0613", "gpt-3.5-turbo-0613",
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"gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-35-turbo-16k", "gpt-4-turbo-preview",
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"gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-35-turbo-16k", "gpt-4-turbo-preview",
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"gpt-4-1106-preview", const.GPT4_TURBO_PREVIEW, const.GPT4_VISION_PREVIEW, const.GPT4_TURBO_01_25,
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"gpt-4-1106-preview", const.GPT4_TURBO_PREVIEW, const.GPT4_VISION_PREVIEW, const.GPT4_TURBO_01_25,
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const.GPT_4o, const.LINKAI_4o, const.LINKAI_4_TURBO]:
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const.GPT_4o, const.GPT_4o_MINI, const.LINKAI_4o, const.LINKAI_4_TURBO]:
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return num_tokens_from_messages(messages, model="gpt-4")
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return num_tokens_from_messages(messages, model="gpt-4")
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elif model.startswith("claude-3"):
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elif model.startswith("claude-3"):
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return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
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return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
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@@ -399,6 +399,7 @@ class LinkAIBot(Bot):
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return
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return
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max_send_num = conf().get("max_media_send_count")
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max_send_num = conf().get("max_media_send_count")
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send_interval = conf().get("media_send_interval")
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send_interval = conf().get("media_send_interval")
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file_type = (".pdf", ".doc", ".docx", ".csv", ".xls", ".xlsx", ".txt", ".rtf", ".ppt", ".pptx")
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try:
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try:
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i = 0
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i = 0
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for url in image_urls:
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for url in image_urls:
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@@ -407,7 +408,7 @@ class LinkAIBot(Bot):
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i += 1
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i += 1
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if url.endswith(".mp4"):
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if url.endswith(".mp4"):
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reply_type = ReplyType.VIDEO_URL
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reply_type = ReplyType.VIDEO_URL
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elif url.endswith(".pdf") or url.endswith(".doc") or url.endswith(".docx") or url.endswith(".csv"):
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elif url.endswith(file_type):
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reply_type = ReplyType.FILE
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reply_type = ReplyType.FILE
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url = _download_file(url)
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url = _download_file(url)
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if not url:
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if not url:
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@@ -32,6 +32,7 @@ GPT4_TURBO_11_06 = "gpt-4-1106-preview"
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GPT4_VISION_PREVIEW = "gpt-4-vision-preview"
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GPT4_VISION_PREVIEW = "gpt-4-vision-preview"
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GPT4 = "gpt-4"
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GPT4 = "gpt-4"
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GPT_4o_MINI = "gpt-4o-mini"
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GPT4_32k = "gpt-4-32k"
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GPT4_32k = "gpt-4-32k"
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GPT4_06_13 = "gpt-4-0613"
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GPT4_06_13 = "gpt-4-0613"
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GPT4_32k_06_13 = "gpt-4-32k-0613"
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GPT4_32k_06_13 = "gpt-4-32k-0613"
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@@ -57,7 +58,7 @@ GEMINI_15_PRO = "gemini-1.5-pro"
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MODEL_LIST = [
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MODEL_LIST = [
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GPT35, GPT35_0125, GPT35_1106, "gpt-3.5-turbo-16k",
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GPT35, GPT35_0125, GPT35_1106, "gpt-3.5-turbo-16k",
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GPT_4o, GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4, GPT4_32k, GPT4_06_13, GPT4_32k_06_13,
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GPT_4o, GPT_4o_MINI, GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4, GPT4_32k, GPT4_06_13, GPT4_32k_06_13,
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WEN_XIN, WEN_XIN_4,
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WEN_XIN, WEN_XIN_4,
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XUNFEI, ZHIPU_AI, MOONSHOT, MiniMax,
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XUNFEI, ZHIPU_AI, MOONSHOT, MiniMax,
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GEMINI, GEMINI_PRO, GEMINI_15_flash, GEMINI_15_PRO,
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GEMINI, GEMINI_PRO, GEMINI_15_flash, GEMINI_15_PRO,
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@@ -17,7 +17,7 @@ available_setting = {
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"open_ai_api_base": "https://api.openai.com/v1",
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"open_ai_api_base": "https://api.openai.com/v1",
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"proxy": "", # openai使用的代理
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"proxy": "", # openai使用的代理
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# chatgpt模型, 当use_azure_chatgpt为true时,其名称为Azure上model deployment名称
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# chatgpt模型, 当use_azure_chatgpt为true时,其名称为Azure上model deployment名称
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"model": "gpt-3.5-turbo", # 可选择: gpt-4o, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini等模型,全部可选模型详见common/const.py文件
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"model": "gpt-3.5-turbo", # 可选择: gpt-4o, pt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini等模型,全部可选模型详见common/const.py文件
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"bot_type": "", # 可选配置,使用兼容openai格式的三方服务时候,需填"chatGPT"。bot具体名称详见common/const.py文件列出的bot_type,如不填根据model名称判断,
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"bot_type": "", # 可选配置,使用兼容openai格式的三方服务时候,需填"chatGPT"。bot具体名称详见common/const.py文件列出的bot_type,如不填根据model名称判断,
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"use_azure_chatgpt": False, # 是否使用azure的chatgpt
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"use_azure_chatgpt": False, # 是否使用azure的chatgpt
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"azure_deployment_id": "", # azure 模型部署名称
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"azure_deployment_id": "", # azure 模型部署名称
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@@ -22,7 +22,7 @@
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},
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},
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"pictureChange": {
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"pictureChange": {
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"url": "https://github.com/Yanyutin753/pictureChange.git",
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"url": "https://github.com/Yanyutin753/pictureChange.git",
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"desc": "利用stable-diffusion和百度Ai进行图生图或者画图的插件"
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"desc": "1. 支持百度AI和Stable Diffusion WebUI进行图像处理,提供多种模型选择,支持图生图、文生图自定义模板。2. 支持Suno音乐AI可将图像和文字转为音乐。3. 支持自定义模型进行文件、图片总结功能。4. 支持管理员控制群聊内容与参数和功能改变。"
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},
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},
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"Blackroom": {
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"Blackroom": {
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"url": "https://github.com/dividduang/blackroom.git",
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"url": "https://github.com/dividduang/blackroom.git",
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@@ -8,6 +8,7 @@ Description:
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"""
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"""
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import http.client
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import json
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import json
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import time
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import time
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import requests
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import requests
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@@ -61,6 +62,69 @@ def text_to_speech_aliyun(url, text, appkey, token):
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return output_file
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return output_file
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def speech_to_text_aliyun(url, audioContent, appkey, token):
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"""
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使用阿里云的语音识别服务识别音频文件中的语音。
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参数:
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- url (str): 阿里云语音识别服务的端点URL。
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- audioContent (byte): pcm音频数据。
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- appkey (str): 您的阿里云appkey。
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- token (str): 阿里云API的认证令牌。
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返回值:
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- str: 成功时输出识别到的文本,否则为None。
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"""
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format = 'pcm'
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sample_rate = 16000
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enablePunctuationPrediction = True
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enableInverseTextNormalization = True
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enableVoiceDetection = False
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# 设置RESTful请求参数
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request = url + '?appkey=' + appkey
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request = request + '&format=' + format
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request = request + '&sample_rate=' + str(sample_rate)
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if enablePunctuationPrediction :
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request = request + '&enable_punctuation_prediction=' + 'true'
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if enableInverseTextNormalization :
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request = request + '&enable_inverse_text_normalization=' + 'true'
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if enableVoiceDetection :
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request = request + '&enable_voice_detection=' + 'true'
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host = 'nls-gateway-cn-shanghai.aliyuncs.com'
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# 设置HTTPS请求头部
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httpHeaders = {
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'X-NLS-Token': token,
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'Content-type': 'application/octet-stream',
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'Content-Length': len(audioContent)
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}
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conn = http.client.HTTPSConnection(host)
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conn.request(method='POST', url=request, body=audioContent, headers=httpHeaders)
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response = conn.getresponse()
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body = response.read()
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try:
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body = json.loads(body)
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status = body['status']
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if status == 20000000 :
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result = body['result']
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if result :
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logger.info(f"阿里云语音识别到了:{result}")
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conn.close()
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return result
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else :
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logger.error(f"语音识别失败,状态码: {status}")
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except ValueError:
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logger.error(f"语音识别失败,收到非JSON格式的数据: {body}")
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conn.close()
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return None
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class AliyunTokenGenerator:
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class AliyunTokenGenerator:
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"""
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"""
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@@ -15,9 +15,9 @@ import time
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from bridge.reply import Reply, ReplyType
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from common.log import logger
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from voice.audio_convert import get_pcm_from_wav
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from voice.voice import Voice
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from voice.voice import Voice
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from voice.ali.ali_api import AliyunTokenGenerator
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from voice.ali.ali_api import AliyunTokenGenerator, speech_to_text_aliyun, text_to_speech_aliyun
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from voice.ali.ali_api import text_to_speech_aliyun
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from config import conf
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from config import conf
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@@ -34,7 +34,8 @@ class AliVoice(Voice):
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self.token = None
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self.token = None
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self.token_expire_time = 0
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self.token_expire_time = 0
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# 默认复用阿里云千问的 access_key 和 access_secret
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# 默认复用阿里云千问的 access_key 和 access_secret
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self.api_url = config.get("api_url")
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self.api_url_voice_to_text = config.get("api_url_voice_to_text")
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self.api_url_text_to_voice = config.get("api_url_text_to_voice")
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self.app_key = config.get("app_key")
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self.app_key = config.get("app_key")
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self.access_key_id = conf().get("qwen_access_key_id") or config.get("access_key_id")
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self.access_key_id = conf().get("qwen_access_key_id") or config.get("access_key_id")
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self.access_key_secret = conf().get("qwen_access_key_secret") or config.get("access_key_secret")
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self.access_key_secret = conf().get("qwen_access_key_secret") or config.get("access_key_secret")
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@@ -53,7 +54,7 @@ class AliVoice(Voice):
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r'äöüÄÖÜáéíóúÁÉÍÓÚàèìòùÀÈÌÒÙâêîôûÂÊÎÔÛçÇñÑ,。!?,.]', '', text)
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r'äöüÄÖÜáéíóúÁÉÍÓÚàèìòùÀÈÌÒÙâêîôûÂÊÎÔÛçÇñÑ,。!?,.]', '', text)
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# 提取有效的token
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# 提取有效的token
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token_id = self.get_valid_token()
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token_id = self.get_valid_token()
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fileName = text_to_speech_aliyun(self.api_url, text, self.app_key, token_id)
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fileName = text_to_speech_aliyun(self.api_url_text_to_voice, text, self.app_key, token_id)
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if fileName:
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if fileName:
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logger.info("[Ali] textToVoice text={} voice file name={}".format(text, fileName))
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logger.info("[Ali] textToVoice text={} voice file name={}".format(text, fileName))
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reply = Reply(ReplyType.VOICE, fileName)
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reply = Reply(ReplyType.VOICE, fileName)
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@@ -61,6 +62,25 @@ class AliVoice(Voice):
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reply = Reply(ReplyType.ERROR, "抱歉,语音合成失败")
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reply = Reply(ReplyType.ERROR, "抱歉,语音合成失败")
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return reply
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return reply
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def voiceToText(self, voice_file):
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"""
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将语音文件转换为文本。
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:param voice_file: 要转换的语音文件。
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:return: 返回一个Reply对象,其中包含转换得到的文本或错误信息。
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"""
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# 提取有效的token
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token_id = self.get_valid_token()
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logger.debug("[Ali] voice file name={}".format(voice_file))
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pcm = get_pcm_from_wav(voice_file)
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text = speech_to_text_aliyun(self.api_url_voice_to_text, pcm, self.app_key, token_id)
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if text:
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logger.info("[Ali] VoicetoText = {}".format(text))
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reply = Reply(ReplyType.TEXT, text)
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else:
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reply = Reply(ReplyType.ERROR, "抱歉,语音识别失败")
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return reply
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def get_valid_token(self):
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def get_valid_token(self):
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"""
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"""
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获取有效的阿里云token。
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获取有效的阿里云token。
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@@ -1,5 +1,6 @@
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{
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{
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"api_url": "https://nls-gateway-cn-shanghai.aliyuncs.com/stream/v1/tts",
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"api_url_text_to_voice": "https://nls-gateway-cn-shanghai.aliyuncs.com/stream/v1/tts",
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"api_url_voice_to_text": "https://nls-gateway.cn-shanghai.aliyuncs.com/stream/v1/asr",
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"app_key": "",
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"app_key": "",
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"access_key_id": "",
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"access_key_id": "",
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"access_key_secret": ""
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"access_key_secret": ""
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Reference in New Issue
Block a user