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KashiwaByte
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Commit
•
94a764b
1
Parent(s):
a2538e6
change tts to Azure
Browse files- app.py +23 -5
- requirements.txt +1 -1
app.py
CHANGED
@@ -2,17 +2,34 @@
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import gradio as gr
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import openai, subprocess
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from pathlib import Path
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import
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# 换成你自己的api_key
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openai.api_key = "sk-
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debatestyle = " "
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messages = [{"role": "system", "content": '你是一名逻辑性很强的资深辩手,你擅长通过数据论据和学理论据来反驳,你的反驳总是一阵见血,而且很有逻辑性。接下来我会提出我的观点,你需要做的就是针锋相对地反驳我'}]
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chat_transcript = ""
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def transcribe(audio):
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global messages
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global chat_transcript
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myfile=Path(audio)
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myfile=myfile.rename(myfile.with_suffix('.wav'))
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audio_file = open(myfile,"rb")
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@@ -26,8 +43,9 @@ def transcribe(audio):
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# print(response)
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messages.append(system_message)
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chat_transcript = ""
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for message in messages:
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@@ -52,7 +70,7 @@ def initway(api_key,style):
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with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as init:
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with gr.Row():
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api_key = gr.Textbox(
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lines=1, placeholder="api_key Here...", label="api_key",value="")
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style = gr.Textbox(
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lines=1, placeholder="style Here...", label="辩风" ,value="你是一名逻辑性很强的资深辩手,你擅长通过数据论据和学理论据来反驳,你的反驳总是一阵见血,而且很有逻辑性。接下来我会提出我的观点,你需要做的就是针锋相对地反驳我,每次回答不超过100个字")
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btn = gr.Button(value="初始化")
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import gradio as gr
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import openai, subprocess
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from pathlib import Path
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import os
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import azure.cognitiveservices.speech as speechsdk
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# Azure tts
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# This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"
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SPEECH_REGION='eastus'
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SPEECH_KEY= 'af2d4aa2348b4b73b60487c73e0eb431'
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speech_config = speechsdk.SpeechConfig(subscription='af2d4aa2348b4b73b60487c73e0eb431', region='eastus')
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audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)
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# The language of the voice that speaks.
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speech_config.speech_synthesis_voice_name=' zh-CN-XiaoxiaoNeural'
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speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
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# 换成你自己的api_key
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openai.api_key = "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"
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debatestyle = " "
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messages = [{"role": "system", "content": '你是一名逻辑性很强的资深辩手,你擅长通过数据论据和学理论据来反驳,你的反驳总是一阵见血,而且很有逻辑性。接下来我会提出我的观点,你需要做的就是针锋相对地反驳我'}]
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chat_transcript = ""
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def transcribe(audio):
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global messages
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global chat_transcript
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global speech_synthesizer
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myfile=Path(audio)
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myfile=myfile.rename(myfile.with_suffix('.wav'))
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audio_file = open(myfile,"rb")
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# print(response)
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messages.append(system_message)
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speech_synthesis_result = speech_synthesizer.speak_text_async(system_message['content']).get()
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# 原windows tts 解决方案 subprocess.call(["wsay", system_message['content']])
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chat_transcript = ""
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for message in messages:
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with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as init:
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with gr.Row():
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api_key = gr.Textbox(
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lines=1, placeholder="api_key Here...", label="api_key",value="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")
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style = gr.Textbox(
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lines=1, placeholder="style Here...", label="辩风" ,value="你是一名逻辑性很强的资深辩手,你擅长通过数据论据和学理论据来反驳,你的反驳总是一阵见血,而且很有逻辑性。接下来我会提出我的观点,你需要做的就是针锋相对地反驳我,每次回答不超过100个字")
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btn = gr.Button(value="初始化")
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requirements.txt
CHANGED
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gradio==3.44.0
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openai==0.28.0
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-
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gradio==3.44.0
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openai==0.28.0
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azure-cognitiveservices-speech==1.32.1
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