Add deployment configurations for GitHub, Netlify, and backend services

backend/app/main_lightweight.py

@@ -0,0 +1,117 @@
+"""
+Lightweight version of the API for deployment without FastVLM model.
+This version provides mock responses for demo purposes.
+"""
+
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse, StreamingResponse
+from pydantic import BaseModel
+from datetime import datetime
+import json
+import random
+from typing import Optional
+
+app = FastAPI(title="FastVLM Screen Observer API (Lightweight)")
+
+# CORS configuration
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+class AnalyzeRequest(BaseModel):
+    capture_screen: bool = True
+    include_thumbnail: bool = False
+    prompt: Optional[str] = None
+
+@app.get("/")
+async def root():
+    return {
+        "status": "FastVLM Screen Observer API is running (Lightweight Mode)",
+        "model": {
+            "is_loaded": False,
+            "model_type": "mock",
+            "model_name": "Mock Model (for demo)",
+            "device": "cpu",
+            "error": None,
+            "note": "This is a lightweight version without the actual FastVLM model",
+            "timestamp": datetime.now().isoformat()
+        }
+    }
+
+@app.post("/analyze")
+async def analyze_screen(request: AnalyzeRequest):
+    """Mock analysis endpoint for demo purposes"""
+    
+    # Generate mock analysis result
+    mock_result = {
+        "timestamp": datetime.now().isoformat(),
+        "summary": "Mock analysis: Screen captured successfully",
+        "ui_elements": [
+            {"type": "button", "text": "Submit", "location": "bottom-right"},
+            {"type": "link", "text": "Home", "location": "top-left"},
+            {"type": "input", "text": "Search...", "location": "top-center"}
+        ],
+        "text_snippets": [
+            "Welcome to the application",
+            "Click here to continue",
+            f"Current time: {datetime.now().strftime('%H:%M:%S')}"
+        ],
+        "risk_flags": [],
+        "frame_id": f"frame_{random.randint(1000, 9999)}",
+        "processing_time": round(random.uniform(0.1, 0.5), 3),
+        "model_used": "mock",
+        "include_thumbnail": request.include_thumbnail
+    }
+    
+    if request.include_thumbnail:
+        mock_result["thumbnail"] = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg=="
+    
+    return JSONResponse(content=mock_result)
+
+@app.post("/demo")
+async def run_demo():
+    """Mock demo endpoint"""
+    return {
+        "status": "success",
+        "message": "Demo completed (mock mode)",
+        "actions": [
+            "Opened browser",
+            "Navigated to example.com",
+            "Captured screenshot",
+            "Analyzed content"
+        ],
+        "timestamp": datetime.now().isoformat()
+    }
+
+@app.get("/export")
+async def export_logs():
+    """Mock export endpoint"""
+    return {
+        "status": "success",
+        "message": "Export feature available in full version",
+        "timestamp": datetime.now().isoformat()
+    }
+
+@app.get("/logs/stream")
+async def stream_logs():
+    """Mock SSE endpoint for logs"""
+    def generate():
+        for i in range(5):
+            log_entry = {
+                "timestamp": datetime.now().isoformat(),
+                "level": "INFO",
+                "message": f"Mock log entry {i+1}",
+                "type": "analysis"
+            }
+            yield f"data: {json.dumps(log_entry)}\n\n"
+    
+    return StreamingResponse(generate(), media_type="text/event-stream")
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)

frontend/.env.production

@@ -0,0 +1,2 @@
+# Production API URL - Update this with your deployed backend URL
+VITE_API_URL=https://your-backend-url.com

frontend/netlify.toml

@@ -0,0 +1,19 @@
+[build]
+  base = "frontend"
+  command = "npm run build"
+  publish = "dist"
+
+[build.environment]
+  NODE_VERSION = "18"
+
+[[redirects]]
+  from = "/*"
+  to = "/index.html"
+  status = 200
+
+[[headers]]
+  for = "/*"
+  [headers.values]
+    X-Frame-Options = "DENY"
+    X-Content-Type-Options = "nosniff"
+    Referrer-Policy = "strict-origin-when-cross-origin"

frontend/src/App.jsx

@@ -3,7 +3,7 @@ import axios from 'axios'
 import ScreenCapture from './ScreenCapture'
 import './App.css'
 
-const API_BASE = 'http://localhost:8000'
+const API_BASE = import.meta.env.VITE_API_URL || 'http://localhost:8000'
 
 function App() {
   const [isCapturing, setIsCapturing] = useState(false)

railway.json

@@ -0,0 +1,13 @@
+{
+  "$schema": "https://railway.app/railway.schema.json",
+  "build": {
+    "builder": "NIXPACKS",
+    "buildCommand": "cd backend && pip install -r requirements.txt"
+  },
+  "deploy": {
+    "startCommand": "cd backend && uvicorn app.main:app --host 0.0.0.0 --port $PORT",
+    "healthcheckPath": "/",
+    "restartPolicyType": "ON_FAILURE",
+    "restartPolicyMaxRetries": 3
+  }
+}

render.yaml

@@ -0,0 +1,11 @@
+services:
+  - type: web
+    name: fastvlm-backend
+    env: python
+    buildCommand: "cd backend && pip install -r requirements.txt"
+    startCommand: "cd backend && uvicorn app.main:app --host 0.0.0.0 --port $PORT"
+    envVars:
+      - key: PYTHON_VERSION
+        value: "3.9"
+    # Note: Free tier has 512MB RAM - insufficient for FastVLM-7B
+    # Upgrade to at least 16GB RAM instance for production