-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
91 lines (78 loc) · 3.01 KB
/
app.py
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
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 18 09:02:05 2023
@author: paulmargain
"""
import os
import numpy as np
import streamlit as st
from io import BytesIO
import streamlit.components.v1 as components
import openai
import tempfile
import wave
import time
from st_custom_components import st_audiorec
import wave
import io
import os.path
openai.api_key = "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"
def bytes_to_wav(audio_bytes, output_filename, sample_width=2, frame_rate=44100, channels=2):
with wave.open(output_filename, 'wb') as wav_file:
wav_file.setnchannels(channels)
wav_file.setsampwidth(sample_width)
wav_file.setframerate(frame_rate)
wav_file.writeframes(audio_bytes)
messages=[]
name,age=None,None
audio_bytes=None
first_question = True
if "disabled" not in st.session_state:
st.session_state["disabled"] = False
if len(messages) == 0:
st.write("Drop me your name and your age please :)")
col1, col2 = st.columns(2)
with col1:
name = st.text_input("Your Name & Surname ",
disabled=st.session_state.disabled)
with col2:
age = st.text_input("Age",
disabled=st.session_state.disabled)
# Preparing the interview
if age and name :
st.session_state["disabled"] = True
audio_bytes = st_audiorec()
with open('surveys/prompt_Brio_demo.txt', 'r') as f:
messages = eval(f.read())
messages.append({"role": "assistant", "content": "What is for you Brio Maté ?"})
if not os.path.isfile(f'surveys/{name}.txt'):
with open(f'surveys/{name}.txt', 'w') as f:
f.write(str(messages))
with open(f'surveys/{name}.txt', 'r') as f:
messages = eval(f.read())
if os.path.isfile(f'surveys/{name}.txt'):
with open(f'surveys/{name}.txt', 'r') as f:
messages = eval(f.read())
st.write(messages[len(messages)-1]['content'])
if audio_bytes is not None and len(messages) < 11:
# display audio data as received on the backend
# st.audio(audio_bytes, format='audio/wav')
# Now use the function
bytes_to_wav(audio_bytes, 'output.wav') # Replace audio_bytes with your audio data
# The name of the .wav file
filename = 'output.wav'
# Open the .wav file
wav_audio_data = open(filename, "rb")
transcript = openai.Audio.transcribe("whisper-1", wav_audio_data)
messages.append({"role": "user", "content": transcript["text"]})
st.write(transcript["text"])
response = openai.ChatCompletion.create(model="gpt-3.5-turbo",
messages=messages)
#st.write(response['choices'][0]['message']['content'])
messages.append({"role": "assistant", "content": response['choices'][0]['message']['content']})
st.write(messages[len(messages)-1]['content'])
with open(f'surveys/{name}.txt', 'w') as f:
f.write(str(messages))
elif len(messages) >= 11 :
st.write("This is the end of the survey - Thanks a lot for your time !")