-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
217 lines (169 loc) · 6.04 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
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
import gradio as gr
import openai
import threading as th
import os
def translateoutput(text,language):
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": f"You will be provided with a sentence in English, and your task is to translate it into {language}."},
{"role": "user", "content":text}
]
)
return completion.choices[0]['message']['content']
# Initialize a global variable to hold previous output
language_info={
'Afrikaans': 'af',
'English': 'en',
'Arabic': 'ar',
'Armenian': 'hy',
'Azerbaijani': 'az',
'Belarusian': 'be',
'Bosnian': 'bs',
'Bulgarian': 'bg',
'Catalan': 'ca',
'Chinese': 'zh',
'Croatian': 'hr',
'Czech': 'cs',
'Danish': 'da',
'Dutch': 'nl',
'English': 'en',
'Estonian': 'et',
'Finnish': 'fi',
'French': 'fr',
'Galician': 'gl',
'German': 'de',
'Greek': 'el',
'Hebrew': 'he',
'Hindi': 'hi',
'Hungarian': 'hu',
'Icelandic': 'is',
'Indonesian': 'id',
'Italian': 'it',
'Japanese': 'ja',
'Kannada': 'kn',
'Kazakh': 'kk',
'Korean': 'ko',
'Latvian': 'lv',
'Lithuanian': 'lt',
'Macedonian': 'mk',
'Malay': 'ms',
'Marathi': 'mr',
'Maori': 'mi',
'Nepali': 'ne',
'Norwegian': 'no',
'Persian': 'fa',
'Polish': 'pl',
'Portuguese': 'pt',
'Romanian': 'ro',
'Russian': 'ru',
'Serbian': 'sr',
'Slovak': 'sk',
'Slovenian': 'sl',
'Spanish': 'es',
'Swahili': 'sw',
'Swedish': 'sv',
'Tagalog': 'tl',
'Tamil': 'ta',
'Thai': 'th',
'Turkish': 'tr',
'Ukrainian': 'uk',
'Urdu': 'ur',
'Vietnamese': 'vi',
'Welsh': 'cy',
'Other': 'Other'
}
def translate(audio_file,lan):
message=""
with open(audio_file, 'rb') as f:
result = openai.Audio.translate("whisper-1", f)
text=result.text
if lan=="English" or lan=="Other" or text=="":
message=text
else:
text=translateoutput(text,lan)
message=text
th.current_thread().return_value=message
def transcription(audio_file,input_lang):
global language_info
with open(audio_file, 'rb') as f:
if input_lang=="Other":
result = openai.Audio.transcribe("whisper-1", f)
th.current_thread().return_value=result.text
else:
result = openai.Audio.transcribe("whisper-1", f,language=language_info[input_lang])
th.current_thread().return_value=result.text
def func(audio_file,input_lang,lan,state="",state1=""):
t1 = th.Thread(target=translate, args=(audio_file,lan,))
t2 = th.Thread(target=transcription, args=(audio_file,input_lang,))
t1.start()
t2.start()
t1.join()
t2.join()
translation_text=t1.return_value
transcribe_text=t2.return_value
state+=transcribe_text+" "
state1+=translation_text+" "
state=state.replace(".","\n")
state1=state1.replace(".","\n")
return state,state1
def gpt_api(text,language):
if text=="":
return ""
if len(text)>2000:
text=text[-2000:]
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": f"your task is to make a concise summery and useful summery from the given text in {language}."},
{"role": "user", "content":text}
]
)
message=completion.choices[0]['message']['content']
th.current_thread().return_value=message
def make_summery(text,text1,input_lan,output_lan):
t1=th.Thread(target=gpt_api, args=(text,input_lan,))
t2=th.Thread(target=gpt_api, args=(text1,output_lan,))
t1.start()
t2.start()
t1.join()
t2.join()
return t1.return_value,t2.return_value
def clear_output_data():
return "","","",""
css='''#clear {background-color: ##919cbf;border-radius:5%;}
#clear:hover {background-color: #ff0000;transition: 0.5s;}
#summery {background-color: ##919cbf;border-radius:5%;}
#summery:hover {background-color:#2dcc9a ;transition: 0.5s;}
# div {background-image:url("https://images.unsplash.com/photo-1506259091721-347e791bab0f?auto=format&fit=crop&q=80&w=1470&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D");
# background-size: cover;
# background-position: center;
# background-repeat: no-repeat;
# background-attachment: fixed;
# color=white;!imoportant;
}
'''
with gr.Blocks(theme=gr.themes.Soft(),css=css) as app:
gr.Markdown("## Bixbyte Translator ",elem_id="heading")
gr.Markdown("### no more language barrier in meeting ",elem_classes="heading")
with gr.Row():
mic = gr.Audio(sources="microphone",streaming=True,type='filepath',label='Speak')
input_lan=gr.Dropdown(choices=language_info.keys(),label="Choose Input Language please",value="English",interactive=True)
lan=gr.Dropdown(choices=language_info.keys(),label="Choose a language for translation",value="Korean",interactive=True)
summery=gr.Button(value="Summery",variant="secondary",size="small",elem_id="summery")
clear_output = gr.ClearButton(value="Clear Output",variant="stop",size="small",elem_id="clear")
with gr.Row():
with gr.Column():
text=gr.Textbox(interactive=False,label="Transcription",lines=10,max_lines=10)
with gr.Column():
text1 = gr.Textbox(interactive=False,label="Translation",lines=10,max_lines=10,)
st=mic.stream(func, [mic,input_lan,lan,text,text1], [text,text1],show_progress=False)
with gr.Row():
sumer_ts=gr.Textbox(label="Summery of Transcription",interactive=False,lines=4,max_lines=4)
sumer_tr=gr.Textbox(label="Summery of Translation",interactive=False,lines=4,max_lines=4)
# pass
summery.click(make_summery,[text,text1,input_lan,lan],[sumer_ts,sumer_tr],cancels=[st],queue=False)
clear_output.click(clear_output_data,[],[text,text1,sumer_tr,sumer_ts],cancels=[st],queue=False)
# gr.update(visible=True)
app.queue()
app.launch()