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import streamlit as st
import speech_recognition as sr
class SpeechRecognitionApp:
def __init__(self):
self.recognizer = sr.Recognizer()
self.microphone = sr.Microphone()
self.transcribed_text = ""
self.filename = ""
self.language = ""
def choose_api(self, api_choice):
if api_choice == "Google Speech Recognition":
self.recognizer_instance = sr.Recognizer()
elif api_choice == "Microsoft Azure Speech":
self.recognizer_instance = sr.Recognizer()
elif api_choice == "Deepgram":
self.recognizer_instance = sr.Recognizer()
elif api_choice == "Speechbrain":
self.recognizer_instance = sr.Recognizer()
elif api_choice == "TorchAudio":
self.recognizer_instance = sr.Recognizer()
def transcribe_speech(self):
with self.microphone as source:
st.write("Speak something...")
audio = self.recognizer.listen(source)
try:
self.transcribed_text = self.recognizer.recognize_google(audio)
except sr.UnknownValueError:
st.error("Sorry, could not understand audio.")
except sr.RequestError as e:
st.error(f"Request to API failed: {e}")
def save_transcribed_text(self):
if self.transcribed_text and self.filename:
with open(self.filename, 'w') as file:
file.write(self.transcribed_text)
st.success(f"Transcribed text saved to {self.filename}")
def choose_language(self):
self.language = st.text_input("Enter the language code (e.g., en-US, fr-FR):")
# Configure the recognizer to use the chosen language
def run(self):
st.title("Speech Recognition App 🌝")
api_choice = st.selectbox("Select a speech recognition API:",
["Google Speech Recognition", "Microsoft Azure Speech", "Deepgram", "TorchAudio", "Speechbrain"])
self.choose_api(api_choice)
self.transcribe_speech()
st.write("Transcribed Text:", self.transcribed_text)
self.filename = st.text_input("Enter the filename to save the text:")
self.save_transcribed_text()
self.choose_language()
st.button("Pause / Resume") # Placeholder for pause/resume button
if __name__ == "__main__":
app = SpeechRecognitionApp()
app.run()