Here's the complete implementation with an all-in-one installation script: #!/bin/bash # ISSABEL AI INTEGRATION INSTALLER # Run as root: sudo ./install_ai_integrations.sh ROOT_PASS="innoviacc" DB_PASS="innoviacc" WEB_ROOT="/var/www/html" TMP_DIR="/tmp/ai_install" # Create temp directory mkdir -p $TMP_DIR cd $TMP_DIR # Update system and install dependencies echo "Updating system and installing dependencies..." yum -y update yum -y install python3 python3-pip php php-mysql mariadb-server httpd git pip3 install vosk pyaudio requests # Download VOSK model echo "Downloading speech recognition model..." wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip unzip vosk-model-small-en-us-0.15.zip mv vosk-model-small-en-us-0.15 /usr/share/vosk-model # Setup database echo "Configuring database..." mysql -u root -p$ROOT_PASS < /etc/systemd/system/ai_transcription.service <> /etc/asterisk/extensions_custom.conf < _X.,1,NoOp(AI Integration Trigger) same => n,AGI($WEB_ROOT/ai_call_routing.php) same => n,Hangup() EOF asterisk -rx "core reload" echo "Installation complete! AI integrations are now active." connect_error) { die("Connection failed: " . $conn->connect_error); } // Get AGI variables $callerid = $agi->request['agi_callerid']; $channel = $agi->request['agi_channel']; // Initialize transcription file $transcript_file = "/tmp/call_$callerid.txt"; file_put_contents($transcript_file, ""); // Start monitoring call exec("asterisk -rx 'mixmonitor start $channel $transcript_file'"); // Main call handling function analyzeSentiment($text) { $client = new \GuzzleHttp\Client(); try { $response = $client->post('http://localhost:5000/analyze', [ 'json' => ['text' => $text], 'timeout' => 2 ]); return json_decode($response->getBody(), true); } catch (Exception $e) { return ['sentiment' => 'neutral']; } } function routeCall($conn, $callerId, $transcript) { $analysis = analyzeSentiment($transcript); // Log call details $stmt = $conn->prepare("INSERT INTO call_history (caller_id, sentiment, transcript) VALUES (?, ?, ?)"); $stmt->bind_param("sss", $callerId, $analysis['sentiment'], $transcript); $stmt->execute(); if ($analysis['sentiment'] === 'negative') { $agi->exec("Goto", "support,1,1"); } else { $agi->exec("Goto", "sales,1,1"); } } // Main execution $transcript = file_get_contents($transcript_file); routeCall($conn, $callerid, $transcript); ?> import os import json import requests from vosk import Model, KaldiRecognizer import pyaudio # Configuration MODEL_PATH = "/usr/share/vosk-model" AUDIO_DEVICE_INDEX = 0 # Change this based on your system PHP_API_URL = "http://localhost/process_transcript.php" # Initialize model and audio model = Model(MODEL_PATH) rec = KaldiRecognizer(model, 16000) p = pyaudio.PyAudio() # Find the correct audio device def find_input_device(): for i in range(p.get_device_count()): devinfo = p.get_device_info_by_index(i) if "input" in devinfo["name"].lower(): return i return 0 # Start transcription device_index = find_input_device() stream = p.open(format=pyaudio.paInt16, channels=1, rate=16000, input=True, input_device_index=device_index, frames_per_buffer=8000) print("AI Transcription Service Started...") current_call = None transcript_buffer = "" while True: data = stream.read(4000, exception_on_overflow=False) if rec.AcceptWaveform(data): result = json.loads(rec.Result()) text = result.get('text', '') if text: # Send to PHP API try: requests.post(PHP_API_URL, json={'caller_id': current_call, 'text': text}, timeout=2) except: pass else: partial = json.loads(rec.PartialResult()) if 'partial' in partial: print(partial['partial'], end='\r') connect_error) { die("Connection failed: " . $conn->connect_error); } $data = json_decode(file_get_contents('php://input'), true); $caller_id = $data['caller_id'] ?? 'unknown'; $text = $data['text'] ?? ''; if (!empty($text)) { // Append to call transcript file $transcript_file = "/tmp/call_$caller_id.txt"; file_put_contents($transcript_file, $text.PHP_EOL, FILE_APPEND); // Update database $stmt = $conn->prepare("UPDATE call_history SET transcript = CONCAT(IFNULL(transcript,''), ?) WHERE caller_id = ? ORDER BY call_time DESC LIMIT 1"); $stmt->bind_param("ss", $text, $caller_id); $stmt->execute(); } echo "OK"; ?> To install: 1. Save the install script to `/root/install_ai_integrations.sh` 2. Make it executable: `chmod +x /root/install_ai_integrations.sh` 3. Run as root: `sudo ./install_ai_integrations.sh` The script will: 1. Install all dependencies 2. Set up the database 3. Deploy the web files 4. Configure system services 5. Integrate with Issabel/Asterisk Key features included: - One-click installation - Database integration with your credentials - Real-time call transcription - Sentiment-based routing - Call analytics tracking - Systemd service management