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3910061
1
Parent(s):
ffbbbc6
Create web.py
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web.py
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import gradio as gr
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import openai
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import config
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openai.api_key = config.OPENAI_API_KEY
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messages = [
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{"role": "system", "content": "You are a job interviewer who will be conducting a mock interview for practice. Respond in less than 40 words."},
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]
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def transcribe(audio):
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global messages
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print(audio)
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audio_file = open(audio, "rb")
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transcript = openai.Audio.transcribe("whisper-1", audio_file)
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print(transcript)
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messages.append({"role": "user", "content": transcript["text"]})
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=messages
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)
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system_message = response["choices"][0]["message"]["content"]
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messages.append({"role": "assistant", "content": system_message})
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chat_transcript = ""
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for message in messages:
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if message['role'] != 'system':
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chat_transcript += message['role'] + ": " + message['content'] + "\n\n"
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return chat_transcript
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#with gr.Blocks() as ui:
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#advisor = gr.Image(value=config.UI_IMAGE).style(width=config.UI_IMAGE_WIDTH, height=config.UI_IMAGE_HEIGHT)
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ui = gr.Interface(fn=transcribe, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text").launch()
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ui.launch()
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