Voice-Controlled-PowerPoint-Handler/remote_mic_server.py at main · Deepesh2575/Voice-Controlled-PowerPoint-Handler · GitHub

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from flask import Flask, render_template_string, send_from_directory
from flask_socketio import SocketIO, emit
import speech_recognition as sr
import base64
import os
import json

app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
socketio = SocketIO(app, cors_allowed_origins='*')

# Initialize the recognizer
recognizer = sr.Recognizer()
recognizer.energy_threshold = 4000

# HTML template for the mobile interface
HTML_TEMPLATE = '''
<!DOCTYPE html>
<html>
<head>
    <title>Remote Microphone</title>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 20px;
            text-align: center;
            background-color: #f0f0f0;
        }
        .container {
            max-width: 600px;
            margin: 0 auto;
            padding: 20px;
            background-color: white;
            border-radius: 10px;
            box-shadow: 0 2px 5px rgba(0,0,0,0.1);
        }
        .status {
            margin: 20px 0;
            padding: 10px;
            border-radius: 5px;
        }
        .connected { background-color: #d4edda; color: #155724; }
        .disconnected { background-color: #f8d7da; color: #721c24; }
        .recording { background-color: #fff3cd; color: #856404; }
        button {
            background-color: #007bff;
            color: white;
            border: none;
            padding: 15px 30px;
            border-radius: 25px;
            font-size: 16px;
            cursor: pointer;
            margin: 10px;
            transition: background-color 0.3s;
        }
        button:disabled {
            background-color: #ccc;
            cursor: not-allowed;
        }
        button:hover:not(:disabled) {
            background-color: #0056b3;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>Remote Microphone</h1>
        <div id="status" class="status disconnected">Disconnected</div>
        <button id="startBtn" onclick="startRecording()" disabled>Start Recording</button>
        <button id="stopBtn" onclick="stopRecording()" disabled>Stop Recording</button>
    </div>

    <script src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/4.0.1/socket.io.js"></script>
    <script>
        let socket = io();
        let mediaRecorder;
        let audioChunks = [];
        let isRecording = false;

        socket.on('connect', () => {
            document.getElementById('status').className = 'status connected';
            document.getElementById('status').textContent = 'Connected';
            document.getElementById('startBtn').disabled = false;
        });

        socket.on('disconnect', () => {
            document.getElementById('status').className = 'status disconnected';
            document.getElementById('status').textContent = 'Disconnected';
            document.getElementById('startBtn').disabled = true;
            document.getElementById('stopBtn').disabled = true;
        });

        async function startRecording() {
            try {
                const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
                mediaRecorder = new MediaRecorder(stream);
                audioChunks = [];

                mediaRecorder.ondataavailable = (event) => {
                    audioChunks.push(event.data);
                };

                mediaRecorder.onstop = async () => {
                    const audioBlob = new Blob(audioChunks, { type: 'audio/wav' });
                    const reader = new FileReader();
                    reader.readAsDataURL(audioBlob);
                    reader.onloadend = () => {
                        const base64Audio = reader.result.split(',')[1];
                        socket.emit('audio_data', { audio_data: base64Audio });
                    };
                };

                mediaRecorder.start();
                isRecording = true;
                document.getElementById('status').className = 'status recording';
                document.getElementById('status').textContent = 'Recording...';
                document.getElementById('startBtn').disabled = true;
                document.getElementById('stopBtn').disabled = false;

                // Automatically stop recording after 5 seconds
                setTimeout(() => {
                    if (isRecording) {
                        stopRecording();
                    }
                }, 5000);

            } catch (err) {
                console.error('Error accessing microphone:', err);
                alert('Error accessing microphone. Please ensure microphone permissions are granted.');
            }
        }

        function stopRecording() {
            if (mediaRecorder && isRecording) {
                mediaRecorder.stop();
                isRecording = false;
                document.getElementById('status').className = 'status connected';
                document.getElementById('status').textContent = 'Connected';
                document.getElementById('startBtn').disabled = false;
                document.getElementById('stopBtn').disabled = true;
            }
        }

        socket.on('command_processed', (data) => {
            console.log('Command processed:', data.command);
        });
    </script>
</body>
</html>
'''

@app.route('/')
def index():
    return render_template_string(HTML_TEMPLATE)

@socketio.on('connect')
def handle_connect():
    print('Client connected')

@socketio.on('disconnect')
def handle_disconnect():
    print('Client disconnected')

@socketio.on('audio_data')
def handle_audio_data(data):
    try:
        # Decode the base64 audio data
        audio_data = base64.b64decode(data['audio_data'])

        # Save the audio data to a temporary file
        temp_file = 'temp_audio.wav'
        with open(temp_file, 'wb') as f:
            f.write(audio_data)

        # Process the audio file with speech recognition
        with sr.AudioFile(temp_file) as source:
            audio = recognizer.record(source)
            try:
                command = recognizer.recognize_google(audio).lower()
                print(f'Recognized command: {command}')
                emit('command_processed', {'command': command, 'status': 'success'})
            except sr.UnknownValueError:
                print('Could not understand audio')
                emit('command_processed', {'status': 'error', 'message': 'Could not understand audio'})
            except sr.RequestError as e:
                print(f'Could not request results: {e}')
                emit('command_processed', {'status': 'error', 'message': f'Could not request results: {e}'})

        # Clean up the temporary file
        if os.path.exists(temp_file):
            os.remove(temp_file)

    except Exception as e:
        print(f'Error processing audio: {e}')
        emit('command_processed', {'status': 'error', 'message': str(e)})

if __name__ == '__main__':
    socketio.run(app, host='0.0.0.0', port=5000, debug=True)