File size: 869 Bytes
5b5d4af
 
11f7102
5b5d4af
 
 
 
9ca6873
 
 
 
 
 
c78ff8f
 
 
5b5d4af
c78ff8f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5b5d4af
 
 
 
9ca6873
 
5b5d4af
 
9ca6873
5b5d4af
 
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
import os
import numpy as np
import gradio as gr
import whisper

model = whisper.load_model("base.en")

def fun(audio) : #, state=''):
  text = model.transcribe(audio)["text"]
  #state += text + " "
  return text
  
def fun1(audio, state=''):
  text = model.transcribe(audio)["text"]
  state += text + " "
  return state, state
  
# Set the starting state to an empty string

#gr.Interface(
#    fn=transcribe, 
#    inputs=[
#        gr.Audio(source="microphone", type="filepath", streaming=True), 
#        "state" 
#    ],
#    outputs=[
#        "textbox",
#        "state"
#    ],
#    live=True).launch()
    
    
gr.Interface(
    title = 'Testing Whisper', 
    fn=fun, 
    inputs=[
        gr.Audio(source="microphone",  type="filepath"), #streaming = True,
       # "state"
    ],
    outputs=[
        "textbox", # "state"
    ],
    live=True).launch()