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shamimjony1000
commited on
Update voice_handler.py
Browse files- voice_handler.py +57 -13
voice_handler.py
CHANGED
@@ -1,6 +1,8 @@
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import speech_recognition as sr
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import streamlit as st
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from typing import Optional, Tuple
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class VoiceHandler:
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def __init__(self):
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@@ -9,17 +11,47 @@ class VoiceHandler:
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self.recognizer.dynamic_energy_threshold = True
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self.recognizer.pause_threshold = 0.8
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self.permission_granted = False
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def check_microphone_access(self) -> Tuple[bool, str]:
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"""Check if microphone is accessible and return status with message"""
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try:
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with
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self.recognizer.adjust_for_ambient_noise(source, duration=0.1)
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return True, "Microphone access granted"
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except
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return False, "
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except sr.RequestError as e:
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return False, f"
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except Exception as e:
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return False, f"Unexpected error: {str(e)}"
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@@ -28,7 +60,17 @@ class VoiceHandler:
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success, message = self.check_microphone_access()
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if success:
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self.permission_granted = True
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def listen_for_voice(self, language: str = "mixed") -> str:
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"""
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@@ -38,23 +80,25 @@ class VoiceHandler:
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- "en-US" for English
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- "mixed" for both Arabic and English
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"""
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if not self.permission_granted:
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success, message = self.request_permissions()
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if not success:
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st.error(message)
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st.markdown("""
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### Troubleshooting Steps:
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1.
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2.
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3. Check
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4. Try
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5.
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""")
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return message
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try:
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with
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st.info("Adjusting for ambient noise... Please wait.")
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self.recognizer.adjust_for_ambient_noise(source, duration=1)
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import speech_recognition as sr
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import streamlit as st
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from typing import Optional, Tuple
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import platform
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import sys
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class VoiceHandler:
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def __init__(self):
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self.recognizer.dynamic_energy_threshold = True
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self.recognizer.pause_threshold = 0.8
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self.permission_granted = False
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self._init_microphone()
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def _init_microphone(self):
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"""Initialize microphone with proper settings based on platform"""
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try:
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# List available microphones
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mics = sr.Microphone.list_microphone_names()
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if not mics:
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st.error("No microphones detected. Please connect a microphone and refresh the page.")
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return
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# Use default microphone
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self.mic = sr.Microphone(device_index=None)
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except Exception as e:
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st.error(f"Error initializing microphone: {str(e)}")
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def check_microphone_access(self) -> Tuple[bool, str]:
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"""Check if microphone is accessible and return status with message"""
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try:
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with self.mic as source:
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# Shorter duration for initial test
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self.recognizer.adjust_for_ambient_noise(source, duration=0.1)
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return True, "Microphone access granted"
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except AttributeError:
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return False, """
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Microphone not initialized properly. Please ensure:
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1. You have a working microphone connected
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2. Your browser supports audio input
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3. You're using a modern browser (Chrome, Firefox, Edge)
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"""
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except OSError as e:
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return False, f"""
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Could not access microphone. Error: {str(e)}
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Please check:
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1. Microphone is properly connected
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2. No other application is using the microphone
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3. Browser has permission to access microphone
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"""
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except sr.RequestError as e:
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return False, f"Speech recognition service error: {str(e)}"
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except Exception as e:
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return False, f"Unexpected error: {str(e)}"
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success, message = self.check_microphone_access()
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if success:
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self.permission_granted = True
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return True, "Microphone access granted successfully"
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return False, f"""
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Microphone access denied. Please:
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1. Click the lock/camera icon in your browser's address bar
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2. Select 'Allow' for microphone access
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3. Refresh the page
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4. If using Chrome, verify settings at chrome://settings/content/microphone
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Error details: {message}
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"""
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def listen_for_voice(self, language: str = "mixed") -> str:
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"""
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- "en-US" for English
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- "mixed" for both Arabic and English
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"""
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if not hasattr(self, 'mic'):
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return "Error: Microphone not properly initialized"
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if not self.permission_granted:
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success, message = self.request_permissions()
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if not success:
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st.error(message)
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st.markdown("""
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### 🎤 Troubleshooting Steps:
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1. Check browser compatibility (Chrome/Firefox/Edge recommended)
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2. Verify microphone connection
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3. Check system sound settings
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4. Try a different microphone if available
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5. Restart browser if needed
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""")
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return message
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try:
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with self.mic as source:
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st.info("Adjusting for ambient noise... Please wait.")
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self.recognizer.adjust_for_ambient_noise(source, duration=1)
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