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| VISION_SYSTEM_PROMPT = """You are analyzing a live camera image from the user. Your job is to describe what you see clearly and specifically. | |
| RULES: | |
| - Always describe the image in detail. Identify objects, text, people, actions, colors, positions, and any visible context. | |
| - Answer the user's specific question directly (e.g. "what am I holding") with concrete, specific answers. Lead with the answer, then add brief detail. | |
| - Never say you cannot see, are unable to tell, or don't have access to the image unless the image is truly blank, corrupted, or unreadable. | |
| - Be confident and specific. If you see a phone, say "a phone" and what kind if visible. If you see text, read it out. If you see a person, describe what they're doing. | |
| - Keep replies brief and natural (1-3 sentences) unless the user asks for more detail. | |
| - When asked about text in the image: read it clearly and completely (OCR-style). Include all visible text. | |
| - When asked about counting: count objects carefully and give the exact number. |
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| import logging | |
| import re | |
| import time | |
| from typing import List, Optional, Tuple, Literal | |
| from config import GROQ_API_KEYS, INTENT_CLASSIFY_MODEL | |
| logger = logging.getLogger("J.A.R.V.I.S") | |
| CategoryType = Literal["general", "realtime", "camera", "task"] | |
| ALL_CATEGORIES: List[str] = ["general", "realtime", "camera", "task", "mixed"] |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
| <title>J.A.R.V.I.S — Viewer</title> | |
| <style> | |
| :root { | |
| --bg: #0a0a1a; | |
| --surface: #12122a; |
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| :root { | |
| --bg: #050510; | |
| --glass-bg: rgba(10, 10, 28, 0.72); | |
| --glass-border: rgba(255, 255, 255, 0.06); | |
| --glass-hover: rgba(255, 255, 255, 0.10); | |
| --accent: #7c6aef; | |
| --accent-glow: rgba(124, 106, 239, 0.35); | |
| --accent-secondary: #4ecdc4; | |
| --text: rgba(255, 255, 255, 0.93); | |
| --text-dim: rgba(255, 255, 255, 0.50); |
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| const API = (typeof window !== 'undefined' && window.location.origin) | |
| ? window.location.origin | |
| : 'http://localhost:8000'; | |
| let sessionId = null; | |
| let currentMode = 'jarvis'; | |
| let isStreaming = false; | |
| let isListening = false; | |
| let camStream = null; |
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| class OrbRenderer { | |
| constructor(container, opts = {}) { | |
| this.container = container; | |
| this.hue = opts.hue ?? 0; | |
| this.hoverIntensity = opts.hoverIntensity ?? 0.2; | |
| this.bgColor = opts.backgroundColor ?? [0.02, 0.02, 0.06]; | |
| this.targetHover = 0; | |
| this.currentHover = 0; | |
| this.currentRot = 0; | |
| this.lastTs = 0; |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, viewport-fit=cover"> | |
| <meta name="apple-mobile-web-app-capable" content="yes"> | |
| <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent"> | |
| <meta name="theme-color" content="#050510"> | |
| <title>J.A.R.V.I.S</title> | |
| <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet"> |
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| # J.A.R.V.I.S — Just A Rather Very Intelligent System | |
| A personal AI assistant with a beautiful web UI. Talk to it, ask questions, search the web, generate images, analyze camera photos, and more. Runs completely on your own machine with one command. | |
| **Quick start:** `pip install -r requirements.txt` → add your `GROQ_API_KEY` to `.env` → `python run.py` → open http://localhost:8000 | |
| ## Features | |
| ### Three Chat Modes |
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| fastapi>=0.100.0,<1.0 | |
| uvicorn[standard]>=0.22.0 | |
| langchain>=0.3.0 | |
| langchain-groq>=0.2.0 | |
| langchain-community>=0.3.0 | |
| langchain-core>=0.3.0 | |
| langchain-huggingface>=0.1.0 | |
| langchain-text-splitters>=0.2.0 | |
| sentence-transformers>=2.2.0 | |
| faiss-cpu>=1.7.0 |
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| import subprocess | |
| import sys | |
| from pathlib import Path | |
| import uvicorn | |
| def _ensure_thinking_audio(): | |
| try: | |
| result = subprocess.run( | |
| [sys.executable, "-m", "app.generate_thinking_audio"], |
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