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fc70748 fbfc807 fc70748 97f67c2 fc70748 6ffecc2 fc70748 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import gradio as gr
import openai
import subprocess
import os
openai.api_key = os.environ['OPENAI_API_KEY']
messages = [{"role": "system",
"content": 'You are a dentist. Respond to all input with no more than 200 word.'}]
def transcribe(audio):
global messages
audio_file = open(audio, "rb")
transcript = openai.Audio.transcribe("whisper-1", audio_file)
messages.append({"role": "user", "content": transcript["text"]})
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo", messages=messages)
system_message = response["choices"][0]["message"]
messages.append(system_message)
# subprocess.call(["say", system_message['content']])
chat_transcript = ""
for message in messages:
if message['role'] != 'system':
chat_transcript += message['role'] + \
": " + message['content'] + "\n\n"
return chat_transcript
ui = gr.Interface(fn=transcribe, inputs=gr.Audio(
source="microphone", type="filepath"), outputs="text").launch()
ui.launch()
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