jarvion 1.0.1

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Jarvion – Real-Time AI Assistant (OpenAI + Gemini + ElevenLabs + TTS)

Jarvion is an advanced, real-time, bilingual AI assistant framework inspired by Jarvis.
It listens to your voice, understands speech in real time, responds conversationally, and speaks back naturally using ElevenLabs or pyttsx3.

This README covers:

• pip installation & local testing
• programmatic use and CLI examples
• configuration (API keys, voices, thresholds)
• packaging & publishing to PyPI
• troubleshooting & tips
• security & privacy notes

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📦 Installation (pip)

Install the released package from PyPI:

pip install jarvion

If you want the local development version (install from source):

git clone https://github.com/<yourusername>/jarvion.git
cd jarvion
pip install .

Or build and install the wheel locally:

pip install build
python -m build
pip install dist/jarvion-1.0.1-py3-none-any.whl

To uninstall:

pip uninstall jarvion

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⚙️ Quickstart — Programmatic Usage

Minimal example (listening + speaking using default config):

from jarvion.core import Jarvis, Config

cfg = Config(
    openai_key="YOUR_OPENAI_KEY",         # optional if using Gemini-only
    ai_provider="openai",                 # "openai", "gemini", or "both"
    elevenlabs_key="YOUR_ELEVENLABS_KEY", # optional; use pyttsx3 fallback if absent
    eleven_voice="21m00Tcm4TlvDq8ikWAM",  # ElevenLabs voice ID (not voice name)
    speak_chunk_threshold=300,            # number of characters to buffer before speaking
    interrupt_on_user_speech=True         # whether TTS stops when user starts speaking
)

jarvis = Jarvis(cfg)
jarvis.start()  # starts background listener and TTS player

# programmatic input (like simulating user speech)
jarvis.send_text("Tell me a joke about penguins.")

# stop later
jarvis.stop()

Notes

• send_text() lets you feed text directly (useful for GUIs, tests, or remote control).
• speak_chunk_threshold controls how long an assistant response accumulates before being synthesized and played.

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🗣️ CLI Usage

If setup.py defines a console entry point (jarvion=jarvion.core:main), after installation you can run:

jarvion

This will launch the full-duplex assistant (listen + speak). Say exit or quit to stop.

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🧩 Using ElevenLabs TTS

ElevenLabs requires a voice ID (not the display name). To get voice IDs:

1. Sign in at https://elevenlabs.io/app/voices
2. Click a voice — the URL contains the voice ID, e.g.: https://elevenlabs.io/app/voice/21m00Tcm4TlvDq8ikWAM → voice id = 21m00Tcm4TlvDq8ikWAM
3. Put that ID in Config.eleven_voice.

Programmatic ElevenLabs test (quick):

import requests

ELEVEN_API_KEY = "YOUR_KEY"
VOICE_ID = "21m00Tcm4TlvDq8ikWAM"
url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}"
headers = {"xi-api-key": ELEVEN_API_KEY, "Content-Type": "application/json"}
data = {"text": "Hello from ElevenLabs!", "voice_settings": {"stability":0.5,"similarity_boost":0.75}}
r = requests.post(url, headers=headers, json=data)
if r.status_code == 200:
    with open("out.wav","wb") as f: f.write(r.content)

---

🔁 Example: GUI Integration (Tkinter)

import tkinter as tk
from jarvion.core import Jarvis, Config

cfg = Config(openai_key="YOUR_OPENAI_KEY", ai_provider="openai")
jarvis = Jarvis(cfg)
jarvis.start()

def send():
    text = entry.get()
    jarvis.send_text(text)
    entry.delete(0, tk.END)

root = tk.Tk()
entry = tk.Entry(root, width=60)
entry.pack(side=tk.LEFT)
tk.Button(root, text="Send", command=send).pack(side=tk.RIGHT)
root.mainloop()

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🛠 Packaging & Publishing (PyPI)

1. Ensure your setup.py, pyproject.toml (optional), and README.md are ready. README.md will be used for the long description.
2. Build distributions:

pip install build twine
python -m build

3. Upload to PyPI (you’ll be prompted for credentials):

twine upload dist/*

4. Install from PyPI to test:

pip install jarvion
jarvion

Local testing (install wheel directly)

pip install dist/jarvion-1.0.1-py3-none-any.whl

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🧰 Recommended requirements.txt

openai>=1.0.0
google-generativeai>=0.4.0
elevenlabs>=1.0.0   # optional, only if you use ElevenLabs SDK
pyttsx3>=2.90
SpeechRecognition>=3.10.0
pyaudio>=0.2.13     # or sounddevice + soundfile alternative
requests>=2.25.0
sounddevice>=0.4.0
soundfile>=0.11.0

Note: pyaudio can be tricky to install on Windows (use prebuilt wheels or pipwin install pyaudio).

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🩺 Troubleshooting & Tips

1. Speaks only first/last words or cuts off mid-sentence

• Increase speak_chunk_threshold so Jarvis buffers more text before TTS.
• If using ElevenLabs, ensure the full audio file is saved then played (sd.wait() or write-then-play approach).
• When using pyttsx3, make sure you don’t call .stop() prematurely and avoid overlapping runAndWait() calls.

2. "Method Not Allowed" on ElevenLabs URL

• Don’t open the TTS endpoint in a browser (that sends GET). Use POST with your API key and JSON body.

3. msilib or cx_Freeze build errors on Python 3.13

• Uninstall cx_Freeze if you don’t need it:

  pip uninstall cx_Freeze
  

• Or use Python 3.12 if you need msilib-dependent builds.

4. Microphone issues on Windows

• For pyaudio, either install Visual C++ build tools or use pipwin:

  pip install pipwin
  pipwin install pyaudio
  

5. ElevenLabs voice not found

• Use the voice ID, not the display name.

6. Debugging

• Add logging prints around the TTS worker to verify buffer contents and playback flow.
• Use headphones to avoid TTS → microphone feedback.

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🔐 Security & Privacy

• Never commit API keys to source code. Use environment variables:

  export OPENAI_API_KEY="sk-..."
  export ELEVENLABS_API_KEY="eleven-..."
  

• Be mindful of sensitive data — voice streams and transcripts may be sent to third-party APIs (OpenAI/ElevenLabs). If you need local-only processing, rely on offline STT/TTS alternatives (Whisper local, pyttsx3).

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📝 Versioning & Changelog

Keep a CHANGELOG.md and increment semantic versioning:

• MAJOR.MINOR.PATCH (e.g., 1.0.0)
• Example release notes: new features, bug fixes, breaking changes.

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❤️ Contributing

Contributions welcome:

• Add new voice providers, better wake-word detection, GUI frontends, or integrations (Home Assistant, Alexa).
• Open a PR or issue on GitHub with a minimal repro and tests.

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⚖️ License

MIT License © 2025 Salman Fareed Chishty