Upload app.py
Browse files
app.py
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import speech_recognition as sr
|
3 |
+
import os
|
4 |
+
import tempfile
|
5 |
+
import librosa
|
6 |
+
import soundfile as sf
|
7 |
+
|
8 |
+
def convert_to_wav(audio_file):
|
9 |
+
# Load the audio file
|
10 |
+
y, sr = librosa.load(audio_file, sr=None)
|
11 |
+
|
12 |
+
# Create a temporary WAV file
|
13 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_wav:
|
14 |
+
sf.write(tmp_wav.name, y, sr, format='wav')
|
15 |
+
return tmp_wav.name
|
16 |
+
|
17 |
+
def transcribe_audio(audio_file):
|
18 |
+
recognizer = sr.Recognizer()
|
19 |
+
with sr.AudioFile(audio_file) as source:
|
20 |
+
audio = recognizer.record(source)
|
21 |
+
try:
|
22 |
+
return recognizer.recognize_google(audio)
|
23 |
+
except sr.UnknownValueError:
|
24 |
+
return "Speech recognition could not understand the audio"
|
25 |
+
except sr.RequestError as e:
|
26 |
+
return f"Could not request results from speech recognition service; {e}"
|
27 |
+
|
28 |
+
def main():
|
29 |
+
st.title("Speech-to-Text Converter")
|
30 |
+
|
31 |
+
uploaded_file = st.file_uploader("Choose an audio file", type=["wav", "mp3", "m4a", "ogg", "flac"])
|
32 |
+
|
33 |
+
if uploaded_file is not None:
|
34 |
+
st.audio(uploaded_file)
|
35 |
+
|
36 |
+
if st.button("Transcribe"):
|
37 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix='.' + uploaded_file.name.split('.')[-1]) as tmp_file:
|
38 |
+
tmp_file.write(uploaded_file.getvalue())
|
39 |
+
tmp_file_path = tmp_file.name
|
40 |
+
|
41 |
+
try:
|
42 |
+
# Convert to WAV
|
43 |
+
wav_file_path = convert_to_wav(tmp_file_path)
|
44 |
+
|
45 |
+
# Transcribe
|
46 |
+
transcription = transcribe_audio(wav_file_path)
|
47 |
+
|
48 |
+
st.write("Transcription:")
|
49 |
+
st.write(transcription)
|
50 |
+
|
51 |
+
except Exception as e:
|
52 |
+
st.error(f"An error occurred: {str(e)}")
|
53 |
+
|
54 |
+
finally:
|
55 |
+
# Clean up
|
56 |
+
os.unlink(tmp_file_path)
|
57 |
+
if 'wav_file_path' in locals():
|
58 |
+
os.unlink(wav_file_path)
|
59 |
+
|
60 |
+
if __name__ == "__main__":
|
61 |
+
main()
|