Spaces:
Sleeping
Sleeping
File size: 2,191 Bytes
b3b0738 a110eb7 df6ffb4 854d54e a110eb7 b3b0738 a110eb7 b3b0738 a110eb7 b3b0738 50f2112 b3b0738 1ef1929 854d54e 98c64ba 1ef1929 b7cf674 98c64ba b3b0738 99c65a9 |
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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
import os
import gradio as gr
import openai
from gtts import gTTS
openai.api_key = os.environ["OPEN_AI_KEY"]
with gr.Blocks() as demo:
messages = gr.State(value=[{"role": "system", "content": "You are a therapist. Respond in less than 5 sentences."}])
#messages = [{"role": "system", "content": "You are a therapist. Respond in less than 5 sentences."}]
def transcribe(audio):
audio_file = open(audio, "rb")
# Call the transcribe method with the file-like object
transcript = openai.Audio.transcribe("whisper-1", audio_file)
return transcript["text"]
def botResponse(user_input, messages):
#global messages
#messages = msg_contents
messages.append({"role": "user", "content": user_input})
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=messages
)
system_message = response["choices"][0]["message"]["content"]
messages.append({"role": "assistant", "content": system_message})
chat_transcript = ""
for message in messages:
if (message["role"] != "system"):
chat_transcript += message["role"] + ": " + message["content"] + "\n\n"
return chat_transcript
def giveVoice(bot_message):
myobj = gTTS(text=bot_message)
myobj.save("temp.mp3")
dir = os.getcwd()
new_path = os.path.join(dir, "temp.mp3")
return new_path
with gr.Row():
with gr.Column():
user_audio = gr.Audio(source="microphone", type="filepath", label="Input Phrase")
submit_btn = gr.Button(value="Transcribe")
with gr.Column():
user_transcript = gr.Text(label="User Transcript")
gpt_transcript = gr.Text(label="Chat Transcript")
gpt_voice = gr.Audio(label="Voice Response")
submit_btn.click(transcribe, inputs=user_audio, outputs=user_transcript)
user_transcript.change(botResponse, [user_transcript, messages], gpt_transcript)
gpt_transcript.change(giveVoice, inputs=gpt_transcript, outputs=gpt_voice)
demo.launch(share=False) |