First working demo

.dockerignore

@@ -0,0 +1,9 @@
+**/data/models/*
+**/data/embeddings/*
+**/__pycache__
+**/*.pyc
+**/*.pyo
+**/*.pyd
+**/.Python
+**/.env
+**/*.log 

backend/.dockerignore

@@ -0,0 +1,9 @@
+data/models/*
+data/embeddings/*
+**/__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+.env
+*.log 

backend/Dockerfile

@@ -1,10 +1,27 @@
 FROM python:3.9-slim
 
+# Create non-root user
+RUN useradd -m -u 1000 appuser
+
 WORKDIR /app
 
+# Install dependencies first for better caching
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Copy application code
 COPY . .
 
+# Change ownership to appuser
+RUN chown -R appuser:appuser /app
+
+# Switch to non-root user
+USER appuser
+
+# Add healthcheck
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8000/health || exit 1
+
+EXPOSE 8000
+
 CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] 

backend/app/__init__.py

@@ -0,0 +1 @@
+# Empty file to mark directory as Python package 

backend/app/main.py

@@ -1,6 +1,29 @@
+import io
+import torch
+import timm
+import numpy as np
+from PIL import Image
 from fastapi import FastAPI, UploadFile, File
 from fastapi.middleware.cors import CORSMiddleware
-from .model import EmbeddingModel
+import faiss
+import sqlite3
+from typing import List
+import os
+from pathlib import Path
+import json
+import base64
+import cv2
+import logging
+from torchvision import transforms
+import time
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Make sure the model and data paths are absolute
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+DATA_DIR = os.path.join(BASE_DIR, "data")
 
 app = FastAPI()
 
@@ -13,18 +36,135 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-model = EmbeddingModel()
+# Global variables
+model = None
+index = None
+model_name = "mars-mae-vit-b-2m"
+
+@app.on_event("startup")
+async def startup_event():
+    logger.info("Application starting up...")
+    global model, index
+    try:
+        # Load model
+        model = timm.create_model(
+            'vit_base_patch16_224', 
+            in_chans=1,
+            num_classes=0,
+            global_pool='',
+            pretrained=False,
+            checkpoint_path=f"data/models/{model_name}.pth")
+        
+        model.eval()
+        
+        # Load FAISS index
+        index_path = Path(f"data/embeddings/{model_name}/embeddings.index")
+        index = faiss.read_index(str(index_path))
+        if isinstance(index, faiss.IndexIVFFlat):
+            index.nprobe = 16  # Increase for better recall
+    except Exception as e:
+        print(f"Error during startup: {str(e)}")
+        raise e
 
-@app.get("/")
-async def read_root():
+def process_image(image_bytes):
+    # Open image
+    image = Image.open(io.BytesIO(image_bytes))
+    
+    # Create transform pipeline matching the training transform
+    transform = transforms.Compose([
+        transforms.ToTensor(),  # Convert to tensor first (scales to [0,1])
+        transforms.Resize((224, 224)),  # Resize after tensor conversion
+        transforms.Grayscale(num_output_channels=1),  # Convert to grayscale
+        transforms.Normalize(mean=[0.5], std=[0.5])  # Normalize to [-1,1]
+    ])
+    
+    # Apply transforms
+    image_tensor = transform(image)
+    # Add batch dimension
+    image_tensor = image_tensor.unsqueeze(0)
+    return image_tensor
+
+def get_embedding(image):
+    with torch.no_grad():
+        # Forward pass through the model
+        features = model.forward_features(image)  # [1, n_patches, dim]
+        # Use CLS token (first token) instead of mean pooling
+        embedding = features[:, 0]  # [1, dim]
+        return embedding.cpu().numpy()
+
+@app.get("/health")
+async def health_check():
+    logger.info("Health check endpoint called")
     return {"status": "healthy"}
 
-@app.post("/embed")
-async def create_embedding(file: UploadFile = File(...)):
-    # TODO: Implement embedding generation
-    return {"message": "Embedding created"}
+@app.post("/search")
+async def search_similar(file: UploadFile = File(...), k: int = 5):
+    try:
+        # Validate k parameter
+        k = max(1, min(k, 35))  # Limit k between 1 and 20
+        logger.info(f"Searching for {k} similar images")
+        
+        # Log the reception of the image file
+        logger.info(f"Received image file: {file.filename}")
+        contents = await file.read()
+        logger.debug(f"Image content read successfully, size: {len(contents)} bytes")
+        
+        # Process the image
+        image_tensor = process_image(contents)
+        logger.debug(f"Image processed successfully, tensor shape: {image_tensor.shape}")
+        
+        # Extract embedding from the image
+        embedding = get_embedding(image_tensor)
+        logger.debug("Embedding extracted successfully.")
+        
+        # Search using the FAISS index with timing
+        start_time = time.time()
+        distances, indices = index.search(embedding, k)
+        search_time = (time.time() - start_time) * 1000  # Convert to milliseconds
+        logger.debug(f"FAISS search completed in {search_time:.2f}ms. Indices: {indices}, Distances: {distances}")
+        
+        results = []
+        found_count = 0
+        db_path = Path(f"data/embeddings/{model_name}/samples.db")
+        with sqlite3.connect(str(db_path)) as conn:
+            cursor = conn.cursor()
+            for i, (idx, dist) in enumerate(zip(indices[0], distances[0])):
+                if idx != -1:
+                    cursor.execute('''
+                        SELECT filename, label, thumbnail 
+                        FROM samples 
+                        WHERE id = ?
+                    ''', (int(idx) + 1,))  # Adjust index to match SQLite (1-indexed)
+                    row = cursor.fetchone()
+                    if row:
+                        found_count += 1
+                        filename, label, thumbnail_bytes = row
+                        thumbnail_base64 = base64.b64encode(thumbnail_bytes).decode('utf-8')
+
+                        results.append({
+                            "filename": filename,
+                            "label": label,
+                            "distance": float(dist),
+                            "thumbnail": thumbnail_base64
+                        })
+                        logger.info(
+                            f"Found image {found_count}: ID {int(idx)+1}, "
+                            f"Filename: {filename}, Label: {label}, Distance: {dist:.2f}"
+                        )
+                    else:
+                        logger.debug(f"No record found in DB for index {int(idx)+1}")
+                else:
+                    logger.debug("Encountered index -1 in FAISS results; skipping this entry.")
+        
+        logger.info(f"Search completed successfully. Total images found: {found_count}")
+        return {
+            "results": results,
+            "search_time_ms": round(search_time, 2)  # Round to 2 decimal places
+        }
+    except Exception as e:
+        logger.error(f"Error in search_similar: {str(e)}")
+        return {"error": str(e)}
 
-@app.get("/similar/{image_id}")
-async def find_similar(image_id: str):
-    # TODO: Implement similar image search
-    return {"similar_images": []} 
+@app.on_event("shutdown")
+async def shutdown_event():
+    logger.info("Application shutting down...")

backend/app/model.py

@@ -1,12 +0,0 @@
-class EmbeddingModel:
-    def __init__(self):
-        # TODO: Initialize your model here
-        pass
-
-    def generate_embedding(self, image):
-        # TODO: Implement embedding generation
-        pass
-
-    def find_similar(self, embedding):
-        # TODO: Implement similar image search
-        pass 

backend/requirements.txt

@@ -1,6 +1,10 @@
-fastapi==0.68.1
-uvicorn==0.15.0
-python-multipart==0.0.5
-pillow==8.3.2
-torch==2.0.0
-transformers==4.30.2 
+fastapi
+uvicorn
+python-multipart
+torch
+timm
+faiss-cpu
+Pillow
+numpy
+opencv-python-headless 
+torchvision

backend/run.py

@@ -0,0 +1,4 @@
+import uvicorn
+
+if __name__ == "__main__":
+    uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True) 

docker-compose.yml

@@ -2,28 +2,32 @@ version: '3.8'
 
 services:
   backend:
-    build: 
-      context: ./backend
-      dockerfile: Dockerfile
+    build: ./backend
     ports:
       - "8000:8000"
     volumes:
-      - ./backend:/app
-    environment:
-      - ENVIRONMENT=development
-    command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
+      # - ./backend:/app
+      - ./backend/data/models:/app/data/models
+      - ./backend/data/embeddings:/app/data/embeddings
+    command: uvicorn app.main:app --host 0.0.0.0 --reload --workers 4
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+    restart: unless-stopped
+    deploy:
+      resources:
+        limits:
+          cpus: '4'
+          memory: 8G
 
   frontend:
-    build:
-      context: ./frontend
-      dockerfile: Dockerfile
+    build: ./frontend
     ports:
       - "3000:3000"
     volumes:
       - ./frontend:/app
       - /app/node_modules
-    environment:
-      - ENVIRONMENT=development
-    command: npm run dev
     depends_on:
       - backend 

frontend/Dockerfile

@@ -1,21 +1,23 @@
-FROM node:16-alpine
+# Use node with debian instead of alpine
+FROM node:20-alpine
 
 WORKDIR /app
 
+# Install required dependencies including git for shadcn-ui CLI
+RUN apk add --no-cache python3 make g++ git
+
 # Copy package files
 COPY package*.json ./
 
-# Install dependencies and react-scripts globally
-RUN npm install -g react-scripts && npm install
-
-# Copy the rest of the application
-COPY . .
+# Clean up and install dependencies
+RUN rm -f package-lock.json && rm -rf node_modules && npm install
 
-# Add this environment variable to handle hot reloading in Docker
+# Add environment variables for better hot reloading
+ENV VITE_BACKEND_URL=http://backend:8000
+ENV CHOKIDAR_USEPOLLING=true
 ENV WATCHPACK_POLLING=true
-ENV PATH /app/node_modules/.bin:$PATH
 
 EXPOSE 3000
 
-# Start the development server with the correct host
-CMD ["react-scripts", "start"] 
+# Start Vite dev server
+CMD ["npm", "run", "dev", "--", "--host"] 

frontend/index.html

@@ -0,0 +1,12 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Retrieval Demo</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/index.jsx"></script>
+  </body>
+</html> 

frontend/package-lock.json

@@ -0,0 +1,2486 @@
+{
+  "name": "retrieval-demo",
+  "version": "0.0.1",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "retrieval-demo",
+      "version": "0.0.1",
+      "dependencies": {
+        "@emotion/react": "^11.x",
+        "@emotion/styled": "^11.x",
+        "@mui/icons-material": "^6.4.2",
+        "@mui/material": "^6.4.2",
+        "axios": "^1.6.0",
+        "react": "^18.x",
+        "react-dom": "^18.x",
+        "react-router-dom": "^6.22.0"
+      },
+      "devDependencies": {
+        "@vitejs/plugin-react": "^4.2.0",
+        "vite": "^5.0.0"
+      }
+    },
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+      "dev": true,
+      "license": "Apache-2.0",
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+}

frontend/package.json

@@ -1,30 +1,25 @@
 {
-  "name": "embedding-visualizer",
-  "version": "0.1.0",
+  "name": "retrieval-demo",
   "private": true,
+  "version": "0.0.1",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
   "dependencies": {
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0",
-    "react-scripts": "5.0.1",
-    "axios": "^0.24.0"
+    "@emotion/react": "^11.x",
+    "@emotion/styled": "^11.x",
+    "@mui/icons-material": "^6.4.2",
+    "@mui/material": "^6.4.2",
+    "axios": "^1.6.0",
+    "react": "^18.x",
+    "react-dom": "^18.x",
+    "react-router-dom": "^6.22.0"
   },
   "devDependencies": {
-    "@babel/plugin-proposal-private-property-in-object": "^7.21.11"
-  },
-  "scripts": {
-    "start": "react-scripts start",
-    "build": "react-scripts build"
-  },
-  "browserslist": {
-    "production": [
-      ">0.2%",
-      "not dead",
-      "not op_mini all"
-    ],
-    "development": [
-      "last 1 chrome version",
-      "last 1 firefox version",
-      "last 1 safari version"
-    ]
+    "@vitejs/plugin-react": "^4.2.0",
+    "vite": "^5.0.0"
   }
-} 
+}

frontend/src/App.jsx

@@ -1,25 +1,105 @@
-import React, { useState } from 'react';
+import { BrowserRouter as Router, Routes, Route, Link, useLocation } from 'react-router-dom';
+import { Box, AppBar, Toolbar, Button, Container, Typography, ThemeProvider, createTheme } from '@mui/material';
+import { styled } from '@mui/material/styles';
+import RetrievalDemo from './components/RetrievalDemo';
+import EmbeddingViz from './components/EmbeddingViz';
 
-function App() {
-  const [selectedFile, setSelectedFile] = useState(null);
-  const [similarImages, setSimilarImages] = useState([]);
+const marsTheme = createTheme({
+  palette: {
+    primary: {
+      main: '#c62828', // deep red
+    },
+    secondary: {
+      main: '#ff6f00', // orange
+    },
+    background: {
+      default: '#fafafa',
+      paper: '#fff',
+    },
+  },
+  typography: {
+    fontFamily: '"Roboto", "Helvetica", "Arial", sans-serif',
+    h4: {
+      fontWeight: 700,
+    },
+  },
+  components: {
+    MuiAppBar: {
+      styleOverrides: {
+        root: {
+          backgroundImage: 'linear-gradient(to right, #c62828, #ff6f00)',
+        },
+      },
+    },
+  },
+});
+
+const StyledButton = styled(Button)(({ theme, active }) => ({
+  margin: theme.spacing(0, 1),
+  color: theme.palette.common.white,
+  '&:hover': {
+    backgroundColor: 'rgba(255, 255, 255, 0.1)',
+  },
+  '&::after': {
+    content: '""',
+    position: 'absolute',
+    width: '100%',
+    height: '3px',
+    bottom: 0,
+    left: 0,
+    backgroundColor: active ? theme.palette.common.white : 'transparent',
+    transition: 'all 0.3s ease-in-out',
+  },
+}));
 
-  const handleFileUpload = async (event) => {
-    // TODO: Implement file upload and embedding generation
-  };
+function NavButton({ to, children }) {
+  const location = useLocation();
+  const active = location.pathname === to;
 
   return (
-    <div className="App">
-      <h1>Image Embedding Visualizer</h1>
-      <input
-        type="file"
-        accept="image/*"
-        onChange={handleFileUpload}
-      />
-      {/* TODO: Add embedding visualization component */}
-      {/* TODO: Add similar images display */}
-    </div>
+    <StyledButton component={Link} to={to} active={active ? 1 : 0}>
+      {children}
+    </StyledButton>
+  );
+}
+
+function App() {
+  return (
+    <ThemeProvider theme={marsTheme}>
+      <Router>
+        <Box sx={{ flexGrow: 1, minHeight: '100vh', display: 'flex', flexDirection: 'column' }}>
+          <AppBar position="static" elevation={0}>
+            <Container maxWidth="lg">
+              <Toolbar disableGutters sx={{ justifyContent: 'space-between' }}>
+                <Typography variant="h6" component="div" sx={{ flexGrow: 1, fontWeight: 700 }}>
+                  Mars Image Explorer
+                </Typography>
+                <Box>
+                  <NavButton to="/">Image Retrieval</NavButton>
+                  <NavButton to="/viz">Embedding Visualization</NavButton>
+                </Box>
+              </Toolbar>
+            </Container>
+          </AppBar>
+
+          <Box component="main" sx={{ flexGrow: 1, bgcolor: 'background.default', py: 4 }}>
+            <Container maxWidth="lg">
+              <Routes>
+                <Route path="/" element={<RetrievalDemo />} />
+                <Route path="/viz" element={<EmbeddingViz />} />
+              </Routes>
+            </Container>
+          </Box>
+
+          <Box component="footer" sx={{ bgcolor: 'background.paper', py: 2, textAlign: 'center' }}>
+            <Typography variant="body2" color="text.secondary">
+              © {new Date().getFullYear()} Mars Image Explorer. All rights reserved.
+            </Typography>
+          </Box>
+        </Box>
+      </Router>
+    </ThemeProvider>
   );
 }
 
-export default App; 
+export default App;

frontend/src/components/EmbeddingViz.jsx

@@ -0,0 +1,23 @@
+import { Typography, Box, Paper } from "@mui/material"
+import DataObjectIcon from "@mui/icons-material/DataObject"
+
+function EmbeddingViz() {
+  return (
+    <Box>
+      <Typography variant="h4" gutterBottom sx={{ display: "flex", alignItems: "center" }}>
+        <DataObjectIcon sx={{ mr: 1, fontSize: 40 }} />
+        Embedding Visualization
+      </Typography>
+      <Paper elevation={3} sx={{ p: 3, mt: 3, bgcolor: "background.paper" }}>
+        <Typography variant="body1">
+          This is a placeholder for the embedding visualization component. Here, you can add interactive visualizations
+          of the Mars image embeddings, allowing scientists to explore relationships between different images and
+          features.
+        </Typography>
+      </Paper>
+    </Box>
+  )
+}
+
+export default EmbeddingViz
+

frontend/src/components/RetrievalDemo.jsx

@@ -0,0 +1,246 @@
+import { useState } from "react"
+import { Box, Button, CircularProgress, Grid, Paper, Typography, Chip, ImageList, ImageListItem } from "@mui/material"
+import { styled } from "@mui/material/styles"
+import CloudUploadIcon from "@mui/icons-material/CloudUpload"
+import SearchIcon from "@mui/icons-material/Search"
+import RocketLaunchIcon from "@mui/icons-material/RocketLaunch"
+
+// Import the list of sample images
+import { sampleImages } from "../sampleImages"
+
+const Input = styled("input")({
+  display: "none",
+})
+
+const StyledPaper = styled(Paper)(({ theme }) => ({
+  padding: theme.spacing(2),
+  display: "flex",
+  flexDirection: "column",
+  alignItems: "center",
+  height: "100%",
+  transition: "box-shadow 0.3s ease-in-out",
+  "&:hover": {
+    boxShadow: theme.shadows[4],
+  },
+}))
+
+const RetrievalDemo = () => {
+  const [selectedFile, setSelectedFile] = useState(null)
+  const [results, setResults] = useState([])
+  const [loading, setLoading] = useState(false)
+  const [error, setError] = useState(null)
+  const [searchStats, setSearchStats] = useState(null)
+  const [k, setK] = useState(5)
+
+  const handleFileSelect = (event) => {
+    setSelectedFile(event.target.files[0])
+  }
+
+  const handleSampleImageSelect = (imageName) => {
+    setSelectedFile(`/sample_image/${imageName}`)
+  }
+
+  const handleUpload = async () => {
+    if (!selectedFile) return
+
+    setLoading(true)
+    setError(null)
+    setSearchStats(null)
+    const formData = new FormData()
+
+    const fileToUpload =
+      typeof selectedFile === "string" ? await fetch(selectedFile).then((r) => r.blob()) : selectedFile
+
+    formData.append("file", fileToUpload)
+    formData.append("k", k)
+
+    try {
+      const response = await fetch("http://localhost:8000/search", {
+        method: "POST",
+        body: formData,
+      })
+
+      const data = await response.json()
+      if (data.error) {
+        setError(data.error)
+        console.error("Error:", data.error)
+        return
+      }
+
+      setResults(data.results || [])
+      setSearchStats({
+        count: data.results?.length || 0,
+        time: data.search_time_ms
+      })
+    } catch (error) {
+      setError(error.message)
+      console.error("Error:", error)
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  return (
+    <Box>
+      <Typography variant="h4" gutterBottom sx={{ display: "flex", alignItems: "center" }}>
+        <RocketLaunchIcon sx={{ mr: 1, fontSize: 40 }} />
+        Mars Image Retrieval
+      </Typography>
+      <Paper elevation={3} sx={{ p: 3, mb: 4, bgcolor: "background.paper" }}>
+        <Typography variant="h6" gutterBottom>
+          Choose a sample image or upload your own
+        </Typography>
+        <Box sx={{ mb: 3 }}>
+          <ImageList sx={{ width: "100%", height: 200 }} cols={6} rowHeight={100}>
+            {sampleImages.map((image) => (
+              <ImageListItem
+                key={image}
+                onClick={() => handleSampleImageSelect(image)}
+                sx={{ cursor: "pointer", "&:hover": { opacity: 0.8 } }}
+              >
+                <img
+                  src={`/sample_image/${image}`}
+                  alt={image}
+                  loading="lazy"
+                  style={{ objectFit: "cover", width: "100%", height: "100%" }}
+                />
+              </ImageListItem>
+            ))}
+          </ImageList>
+        </Box>
+        <Grid container spacing={3} alignItems="center">
+          <Grid item xs={12} md={6}>
+            <Typography variant="body1" paragraph>
+              Select a sample image above or upload your own Mars image to find similar images in our database. This
+              tool uses advanced AI to match visual features and help scientists explore Mars imagery more efficiently.
+            </Typography>
+            <Box sx={{ display: "flex", gap: 2, flexWrap: "wrap", alignItems: "center" }}>
+              <label htmlFor="contained-button-file">
+                <Input accept="image/*" id="contained-button-file" type="file" onChange={handleFileSelect} />
+                <Button variant="outlined" component="span" startIcon={<CloudUploadIcon />} size="large">
+                  Upload Image
+                </Button>
+              </label>
+              <Button
+                variant="contained"
+                onClick={handleUpload}
+                disabled={!selectedFile || loading}
+                color="primary"
+                startIcon={<SearchIcon />}
+                size="large"
+              >
+                Find Similar
+              </Button>
+              <Box sx={{ display: 'flex', alignItems: 'center', ml: 2 }}>
+                <Typography variant="body2" sx={{ mr: 1 }}>
+                  Show top
+                </Typography>
+                <select
+                  value={k}
+                  onChange={(e) => setK(Number(e.target.value))}
+                  style={{
+                    padding: '8px',
+                    borderRadius: '4px',
+                    border: '1px solid #ccc'
+                  }}
+                >
+                  {[5, 10, 15, 20].map((value) => (
+                    <option key={value} value={value}>
+                      {value}
+                    </option>
+                  ))}
+                </select>
+                <Typography variant="body2" sx={{ ml: 1 }}>
+                  results
+                </Typography>
+              </Box>
+            </Box>
+          </Grid>
+          <Grid item xs={12} md={6}>
+            {selectedFile && (
+              <Box sx={{ display: "flex", justifyContent: "center", alignItems: "center", height: "100%" }}>
+                <img
+                  src={typeof selectedFile === "string" ? selectedFile : URL.createObjectURL(selectedFile)}
+                  alt="Selected"
+                  style={{ maxWidth: "128px", maxHeight: "128px", objectFit: "contain" }}
+                />
+              </Box>
+            )}
+          </Grid>
+        </Grid>
+      </Paper>
+
+      {error && (
+        <Box sx={{ color: "error.main", mb: 2 }}>
+          <Typography variant="body1">Error: {error}</Typography>
+        </Box>
+      )}
+
+      {loading && (
+        <Box sx={{ display: "flex", justifyContent: "center", my: 4 }}>
+          <CircularProgress size={60} />
+        </Box>
+      )}
+
+      {results.length > 0 && (
+        <Box sx={{ mt: 4 }}>
+          <Typography variant="h5" gutterBottom>
+            Similar Mars Images:
+            {searchStats && (
+              <Typography 
+                component="span" 
+                variant="subtitle1" 
+                color="text.secondary" 
+                sx={{ ml: 2 }}
+              >
+                Found {searchStats.count} images in {searchStats.time.toFixed(2)}ms
+              </Typography>
+            )}
+          </Typography>
+          <Grid container spacing={3}>
+            {results.map((result, index) => (
+              <Grid item xs={12} sm={6} md={4} lg={3} key={index}>
+                <StyledPaper>
+                  <img
+                    src={`data:image/png;base64,${result.thumbnail}`}
+                    alt={`Result ${index + 1}`}
+                    style={{
+                      width: "128px",
+                      height: "128px",
+                      objectFit: "contain",
+                      marginBottom: "16px",
+                    }}
+                  />
+                  <Box
+                    sx={{
+                      width: "100%",
+                      typography: "body2",
+                      "& > div": { mb: 1 },
+                    }}
+                  >
+                    <Typography variant="subtitle2" noWrap title={result.filename}>
+                      File: {result.filename}
+                    </Typography>
+                    <Chip label={result.label} size="small" color="secondary" />
+                    <Typography variant="subtitle2">Similarity: {(1 - result.distance).toFixed(4)}</Typography>
+                  </Box>
+                </StyledPaper>
+              </Grid>
+            ))}
+          </Grid>
+        </Box>
+      )}
+
+      {results.length === 0 && !loading && !error && (
+        <Box sx={{ textAlign: "center", my: 4 }}>
+          <Typography variant="h6" color="text.secondary">
+            No results found. Please select or upload a Mars image and search.
+          </Typography>
+        </Box>
+      )}
+    </Box>
+  )
+}
+
+export default RetrievalDemo
+

frontend/src/index.jsx

@@ -1,10 +1,19 @@
 import React from 'react';
 import ReactDOM from 'react-dom/client';
+import { CssBaseline, ThemeProvider, createTheme } from '@mui/material';
 import App from './App';
 
-const root = ReactDOM.createRoot(document.getElementById('root'));
-root.render(
+const theme = createTheme({
+  palette: {
+    mode: 'light',
+  },
+});
+
+ReactDOM.createRoot(document.getElementById('root')).render(
   <React.StrictMode>
-    <App />
+    <ThemeProvider theme={theme}>
+      <CssBaseline />
+      <App />
+    </ThemeProvider>
   </React.StrictMode>
 ); 

frontend/src/sampleImages.js

@@ -0,0 +1,16 @@
+export const sampleImages = [
+    "size_256_E048_N-12_x19712_y22784.png",
+    "size_2048_E-096_N-12_x19968_y7680.png",
+    "size_2048_E-108_N24_x15360_y27648.png",
+    "size_2048_E-128_N12_x15360_y36864.png",
+    "size_2048_E-152_N-32_x13824_y30720.png",
+    "size_2048_E-164_N-04_x0_y18432.png",
+    "size_2048_E-180_N08_x35328_y38400.png",
+    "size_2048_E172_N-08_x38400_y39936.png",
+    "size_4096_E-024_N04_x39936_y39936.png",
+    "size_4096_E-024_N08_x3072_y0.png",
+    "size_4096_E-036_N-04_x3072_y3072.png",
+    "size_4096_E-040_N-28_x15360_y39936.png",
+    "size_4096_E-044_N-16_x21504_y30720.png",
+    "size_4096_E040_N28_x33792_y24576.png"
+]

frontend/vite.config.js

@@ -0,0 +1,10 @@
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+
+export default defineConfig({
+  plugins: [react()],
+  server: {
+    host: '0.0.0.0',
+    port: 3000
+  }
+})