Initial commit: Jarvis AI Assistant with openWakeWord and gTTS

This commit is contained in:
Adolfo Reyna
2026-02-26 11:22:00 -05:00
commit 5ee5aec3a3
4 changed files with 223 additions and 0 deletions

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.gitignore vendored Normal file
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venv/
__pycache__/
*.pyc
.DS_Store
*.wav
*.mp3

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README.md Normal file
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# Jarvis Voice Assistant (openWakeWord + Gemini CLI)
This project uses `openWakeWord` to listen for the "Hey Jarvis" wake word and then uses `SpeechRecognition` to capture a command and send it to the `gemini` CLI.
## Setup
1. **Install PortAudio** (macOS):
```bash
brew install portaudio
```
2. **Create and Activate Virtual Environment**:
```bash
python3 -m venv venv
source venv/bin/activate
```
3. **Install Dependencies**:
```bash
pip install -r requirements.txt
```
4. **Verify Gemini CLI**:
Ensure `gemini` is installed and available in your PATH.
## Usage
Run the script:
```bash
source venv/bin/activate
python jarvis.py
```
1. Say "**Hey Jarvis**".
2. You will hear a "tink" sound.
3. Speak your command (e.g., "List the files in this directory" or "Check the weather").
4. The script will transcribe your command and run `gemini "<your command>"`.
## How it Works
- **openWakeWord**: Provides local, low-latency wake word detection.
- **SpeechRecognition**: Uses Google's Web Speech API for transcription.
- **Gemini CLI**: The brain that processes the commands and calls agent tools.

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import os
import subprocess
import openwakeword
from openwakeword.model import Model
import pyaudio
import numpy as np
import speech_recognition as sr
import time
import re
from gtts import gTTS
import pygame
import io
# Configuration
WAKE_WORD = "hey_jarvis"
SENSITIVITY = 0.5
SYSTEM_SOUND = "/System/Library/Sounds/Tink.aiff"
# Initialize pygame mixer for audio playback
pygame.mixer.init()
def play_sound():
"""Play a system sound to indicate Jarvis is listening."""
subprocess.run(["afplay", SYSTEM_SOUND])
# Global session tracker
current_session_id = None
# Load the openWakeWord model using ONNX
model = Model(
wakeword_models=[WAKE_WORD],
inference_framework="onnx"
)
# Audio setup for openWakeWord
CHUNK = 1280
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
audio = pyaudio.PyAudio()
stream = audio.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
# Speech recognition setup
recognizer = sr.Recognizer()
def get_latest_session_id():
"""Retrieve the UUID of the most recent Gemini session."""
try:
result = subprocess.run(["gemini", "--list-sessions"], capture_output=True, text=True)
# Match UUID inside brackets in the first session line (e.g., [c16895c1-...])
match = re.search(r"1\..*?\[(.*?)\]", result.stdout)
if match:
return match.group(1)
except Exception as e:
print(f"Error fetching session ID: {e}")
return None
def speak_text(text):
"""Use Google Text-to-Speech (gTTS) for high-quality audio."""
if not text or text.strip() == "":
return
# Remove markdown for cleaner speech
clean_text = text.replace("*", "").replace("#", "").replace("`", "")
print(f"[Jarvis] Generating high-quality audio...")
try:
# Generate speech using gTTS
tts = gTTS(text=clean_text, lang='en')
# Save to a memory-based byte stream instead of a file
fp = io.BytesIO()
tts.write_to_fp(fp)
fp.seek(0)
# Play using pygame
pygame.mixer.music.load(fp)
pygame.mixer.music.play()
# Wait until playback is finished
while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(10)
except Exception as e:
print(f"Error in TTS: {e}")
# Fallback to 'say' command if gTTS fails (e.g. offline)
subprocess.run(["say", clean_text])
def run_gemini(command):
"""Call the gemini CLI, capture output, and speak it."""
global current_session_id
args = ["gemini", "--prompt", command, "--yolo"]
if current_session_id:
args.extend(["--resume", current_session_id])
print(f"\n[Jarvis] Continuing session {current_session_id}...")
else:
print(f"\n[Jarvis] Starting new conversation session...")
print(f"[Jarvis] Executing: {' '.join(args)}")
try:
# Capture stdout to speak it, but still let it print to the console
process = subprocess.run(args, capture_output=True, text=True)
response = process.stdout.strip()
if response:
print(f"\n[Gemini Response]:\n{response}")
speak_text(response)
# After the first successful call, capture the session ID
if not current_session_id:
time.sleep(1)
current_session_id = get_latest_session_id()
if current_session_id:
print(f"[Jarvis] Session locked: {current_session_id}")
except Exception as e:
print(f"Error running gemini: {e}")
print(f"Listening for '{WAKE_WORD}'...")
try:
while True:
# 1. Listen for Wake Word
data = stream.read(CHUNK, exception_on_overflow=False)
audio_frame = np.frombuffer(data, dtype=np.int16)
prediction = model.predict(audio_frame)
if prediction[WAKE_WORD] > SENSITIVITY:
print(f"\n[Jarvis] Wake word detected! (Score: {prediction[WAKE_WORD]:.2f})")
play_sound()
# 2. Capture Command
print("[Jarvis] Listening for command...")
with sr.Microphone() as source:
recognizer.adjust_for_ambient_noise(source, duration=0.5)
try:
audio_cmd = recognizer.listen(source, timeout=5, phrase_time_limit=10)
print("[Jarvis] Transcribing...")
command = recognizer.recognize_google(audio_cmd)
print(f"[Jarvis] You said: {command}")
# 3. Execute
run_gemini(command)
except sr.WaitTimeoutError:
print("[Jarvis] No command detected.")
except sr.UnknownValueError:
print("[Jarvis] Could not understand audio.")
except sr.RequestError as e:
print(f"[Jarvis] Speech service error: {e}")
print(f"\nListening for '{WAKE_WORD}'...")
except KeyboardInterrupt:
print("\nStopping...")
finally:
stream.stop_stream()
stream.close()
audio.terminate()

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requirements.txt Normal file
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openwakeword
pyaudio
requests
SpeechRecognition
numpy
onnxruntime