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Mahiruoshi
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Commit
•
d15d7a0
1
Parent(s):
5794787
Update main.py
Browse files
main.py
CHANGED
@@ -35,7 +35,7 @@ class VitsGradio:
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self.text = gr.TextArea(label="Text", value="你好")
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with gr.Accordion(label="测试api", open=False):
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self.local_chat1 = gr.Checkbox(value=False, label="使用网址+文本进行模拟")
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self.url_input = gr.TextArea(label="键入测试", value="http://
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butto = gr.Button("模拟前端抓取语音文件")
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btnVC = gr.Button("测试tts+对话程序")
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with gr.Column():
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@@ -49,11 +49,11 @@ class VitsGradio:
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with gr.Column():
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with gr.Row():
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with gr.Column():
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self.api_input1 = gr.TextArea(label="输入api-key
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with gr.Accordion(label="chatbot选择", open=False):
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self.api_input2 = gr.Checkbox(value=
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self.local_chat1 = gr.Checkbox(value=False, label="启动本地chatbot")
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self.local_chat2 = gr.Checkbox(value=
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res = gr.TextArea()
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Botselection = gr.Button("完成chatbot设定")
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Botselection.click(self.check_bot, inputs=[self.api_input1,self.api_input2,self.local_chat1,self.local_chat2], outputs = [res])
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@@ -61,9 +61,9 @@ class VitsGradio:
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self.input2 = gr.Dropdown(label="Language", choices=self.lan, value="自动", interactive=True)
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with gr.Column():
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btnVC = gr.Button("完成vits TTS端设定")
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self.input3 = gr.Dropdown(label="Speaker", choices=list(range(
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self.input4 = gr.Slider(minimum=0, maximum=1.0, label="更改噪声比例(noise scale),以控制情感", value=0.6)
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self.input5 = gr.Slider(minimum=0, maximum=1.0, label="更改噪声偏差(noise scale w),以控制音素长短", value=0.
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self.input6 = gr.Slider(minimum=0.1, maximum=10, label="duration", value=1)
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statusa = gr.TextArea()
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btnVC.click(self.create_tts_fn, inputs=[self.input1, self.input2, self.input3, self.input4, self.input5, self.input6], outputs = [statusa])
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@@ -78,6 +78,34 @@ class VitsGradio:
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return web,file_path
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def chatgpt(self,text):
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self.messages.append({"role": "user", "content": text},)
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chat = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages= self.messages)
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@@ -116,6 +144,7 @@ class VitsGradio:
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return response['choices'][0]['text'].strip()
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def check_bot(self,api_input1,api_input2,local_chat1,local_chat2):
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if local_chat1:
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from transformers import AutoTokenizer, AutoModel
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self.tokenizer = AutoTokenizer.from_pretrained(api_input1, trust_remote_code=True)
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@@ -125,8 +154,11 @@ class VitsGradio:
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self.model = AutoModel.from_pretrained(api_input1, trust_remote_code=True)
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self.history = []
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else:
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return "Finished"
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def is_japanese(self,string):
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@@ -197,11 +229,11 @@ class VitsGradio:
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def tts_fn(self,text):
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if self.local_chat1:
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text = self.
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elif self.api_input2:
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text = self.ChATGLM(text)
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else:
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text = self.
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print(text)
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text =self.sle(self.language,text)
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with torch.no_grad():
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@@ -218,5 +250,24 @@ class VitsGradio:
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app = Flask(__name__)
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print("开始部署")
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grVits = VitsGradio()
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if __name__ == '__main__':
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self.text = gr.TextArea(label="Text", value="你好")
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with gr.Accordion(label="测试api", open=False):
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self.local_chat1 = gr.Checkbox(value=False, label="使用网址+文本进行模拟")
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self.url_input = gr.TextArea(label="键入测试", value="http://127.0.0.1:8080/chat?Text=")
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butto = gr.Button("模拟前端抓取语音文件")
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btnVC = gr.Button("测试tts+对话程序")
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with gr.Column():
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with gr.Column():
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with gr.Row():
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with gr.Column():
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self.api_input1 = gr.TextArea(label="输入gpt/茉莉云的api-key或本地存储说话模型的路径.如果要用茉莉云则用'|'隔开key和密码", value="49eig5nu3rllvg6e|itcn9760")
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with gr.Accordion(label="chatbot选择(默认gpt3.5)", open=False):
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self.api_input2 = gr.Checkbox(value=False, label="茉莉云")
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self.local_chat1 = gr.Checkbox(value=False, label="启动本地chatbot")
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self.local_chat2 = gr.Checkbox(value=False, label="是否量化")
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res = gr.TextArea()
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Botselection = gr.Button("完成chatbot设定")
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Botselection.click(self.check_bot, inputs=[self.api_input1,self.api_input2,self.local_chat1,self.local_chat2], outputs = [res])
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self.input2 = gr.Dropdown(label="Language", choices=self.lan, value="自动", interactive=True)
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with gr.Column():
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btnVC = gr.Button("完成vits TTS端设定")
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self.input3 = gr.Dropdown(label="Speaker", choices=list(range(1001)), value=0, interactive=True)
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self.input4 = gr.Slider(minimum=0, maximum=1.0, label="更改噪声比例(noise scale),以控制情感", value=0.6)
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self.input5 = gr.Slider(minimum=0, maximum=1.0, label="更改噪声偏差(noise scale w),以控制音素长短", value=0.667)
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self.input6 = gr.Slider(minimum=0.1, maximum=10, label="duration", value=1)
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statusa = gr.TextArea()
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btnVC.click(self.create_tts_fn, inputs=[self.input1, self.input2, self.input3, self.input4, self.input5, self.input6], outputs = [statusa])
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return web,file_path
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def mori(self,text):
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import http.client
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conn = http.client.HTTPSConnection("api.mlyai.com")
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payload = json.dumps({
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"content": text,
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"type": 1,
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"from": "123456",
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"fromName": "侑"
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})
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headers = {
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'Api-Key': self.api_key,
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'Api-Secret': self.api_secret,
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'Content-Type': 'application/json'
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}
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conn.request("POST", "/reply", payload, headers)
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res = conn.getresponse()
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data = res.read()
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decoded_data = json.loads(data.decode("utf-8"))
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if decoded_data["code"] == "00000":
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answer = decoded_data["data"][0]["content"]
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if text == 'exit':
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conn.close()
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return answer
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else:
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conn.close()
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return '对不起,做不到'
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def chatgpt(self,text):
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self.messages.append({"role": "user", "content": text},)
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chat = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages= self.messages)
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return response['choices'][0]['text'].strip()
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def check_bot(self,api_input1,api_input2,local_chat1,local_chat2):
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self.api_key, self.api_secret = api_input1.split("|")
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if local_chat1:
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from transformers import AutoTokenizer, AutoModel
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self.tokenizer = AutoTokenizer.from_pretrained(api_input1, trust_remote_code=True)
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self.model = AutoModel.from_pretrained(api_input1, trust_remote_code=True)
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self.history = []
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else:
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try:
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self.messages = []
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openai.api_key = api_input1
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except:
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pass
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return "Finished"
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def is_japanese(self,string):
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def tts_fn(self,text):
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if self.local_chat1:
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text = self.mori(text)
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elif self.api_input2:
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text = self.ChATGLM(text)
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else:
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text = text = self.chatgpt(text)
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print(text)
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text =self.sle(self.language,text)
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with torch.no_grad():
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app = Flask(__name__)
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print("开始部署")
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grVits = VitsGradio()
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@app.route('/chat')
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def text_api():
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message = request.args.get('Text','')
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audio,text = grVits.tts_fn(message)
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text = text.replace('[JA]','').replace('[ZH]','')
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with open('temp.wav','rb') as bit:
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wav_bytes = bit.read()
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headers = {
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'Content-Type': 'audio/wav',
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'Text': text.encode('utf-8')}
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return wav_bytes, 200, headers
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def gradio_interface():
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return grVits.Vits.launch()
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if __name__ == '__main__':
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api_thread = Thread(target=app.run, args=("0.0.0.0", 8080))
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gradio_thread = Thread(target=gradio_interface)
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api_thread.start()
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gradio_thread.start()
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