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| 1 | +<!doctype html> |
| 2 | +<html lang="en"> |
| 3 | +<head> |
| 4 | + <meta charset="utf-8"> |
| 5 | + <title>StreetLens</title> |
| 6 | + <style> |
| 7 | + body { |
| 8 | + font-family: Arial, sans-serif; |
| 9 | + margin: 0; |
| 10 | + padding: 0; |
| 11 | + background: white; |
| 12 | + color: #333; |
| 13 | + } |
| 14 | + header { |
| 15 | + background: white; |
| 16 | + color: black; |
| 17 | + padding: 20px; |
| 18 | + text-align: center; |
| 19 | + } |
| 20 | + .profiles { |
| 21 | + display: flex; |
| 22 | + justify-content: center; |
| 23 | + flex-wrap: wrap; |
| 24 | + margin-top: 15px; |
| 25 | + gap: 20px; |
| 26 | + } |
| 27 | + .profile { |
| 28 | + background: white; |
| 29 | + color: #333; |
| 30 | + border-radius: 10px; |
| 31 | + padding: 0px; |
| 32 | + width: 150px; |
| 33 | + text-align: center; |
| 34 | + } |
| 35 | + .profile img { |
| 36 | + width: 100px; |
| 37 | + height: 120px; |
| 38 | + border-radius: 20%; |
| 39 | + object-fit: cover; |
| 40 | + margin-bottom: 0px; |
| 41 | + } |
| 42 | + p{ |
| 43 | + margin: 5px; |
| 44 | + } |
| 45 | + .buttons { |
| 46 | + display: flex; |
| 47 | + justify-content: center; |
| 48 | + gap: 20px; |
| 49 | + margin: 30px 0; |
| 50 | + } |
| 51 | + button { |
| 52 | + padding: 12px 20px; |
| 53 | + border: none; |
| 54 | + border-radius: 8px; |
| 55 | + background: #3498db; |
| 56 | + color: white; |
| 57 | + cursor: pointer; |
| 58 | + font-size: 1em; |
| 59 | + transition: background 0.2s; |
| 60 | + } |
| 61 | + button:hover { |
| 62 | + background: #2980b9; |
| 63 | + } |
| 64 | + #output { |
| 65 | + max-width: 800px; |
| 66 | + margin: 20px auto; |
| 67 | + padding: 15px; |
| 68 | + background: white; |
| 69 | + border: 1px solid #ddd; |
| 70 | + border-radius: 10px; |
| 71 | + white-space: pre-wrap; |
| 72 | + overflow-y: auto; |
| 73 | + height: 300px; |
| 74 | + } |
| 75 | + #bibtex { |
| 76 | + max-width: 800px; |
| 77 | + display: block; |
| 78 | + padding: 9.5px; |
| 79 | + margin: 10px auto; /* auto left/right centers the block */ |
| 80 | + font-size: 13px; |
| 81 | + line-height: 1.42857143; |
| 82 | + color: #333; |
| 83 | + background-color: #f5f5f5; |
| 84 | + border: 1px solid #ccc; |
| 85 | + border-radius: 4px; |
| 86 | + white-space: pre-wrap; /* preserves line breaks and wraps long lines */ |
| 87 | + word-break: break-word; |
| 88 | + } |
| 89 | + </style> |
| 90 | +</head> |
| 91 | +<body> |
| 92 | + <header> |
| 93 | + <h1>StreetLens: Enabling Human-Centered AI Agents for </br> Neighborhood Assessment from Street View Imagery</h1> |
| 94 | + <div class="profiles"> |
| 95 | + <div class="profile"> |
| 96 | + <img src="https://jina-kim.github.io/static/img/profile.jpg" alt="Member 1"> |
| 97 | + <p>Jina Kim<sup>†</sup></p> |
| 98 | + </div> |
| 99 | + <div class="profile"> |
| 100 | + <img src="https://media.licdn.com/dms/image/v2/D5603AQHKh0707oxu-Q/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1667706524797?e=2147483647&v=beta&t=IzVKrrM_8FL-saM_3ac1WIuQpH5PBxxL6A8_u5ekegg" alt="Member 2"> |
| 101 | + <p>Leeje Jang<sup>†</sup></p> |
| 102 | + </div> |
| 103 | + <div class="profile"> |
| 104 | + <img src="https://knowledge-computing.github.io/images/people/yaoyichiang.jpg" alt="Member 3"> |
| 105 | + <p>Yao-Yi Chiang<sup>†</sup></p> |
| 106 | + </div> |
| 107 | + <div class="profile"> |
| 108 | + <img src="https://pop.umn.edu/sites/pop.umn.edu/files/2023-06/Guanyu%20Wang.jpg" alt="Member 4"> |
| 109 | + <p>Guanyu Wang<sup>‡</sup></p> |
| 110 | + </div> |
| 111 | + <div class="profile"> |
| 112 | + <img src="https://fsos.umn.edu/sites/fsos/files/styles/x_small_portrait/public/2023-07/Michelle%20Pasco.jpg?h=be0248d6&itok=DbpDr1CV" alt="Member 5"> |
| 113 | + <p>Michelle Pasco<sup>‡</sup></p> |
| 114 | + </div> |
| 115 | + </div> |
| 116 | + <div class="affiliations" style="margin-top:0px; text-align:center; font-size:0.9em;"> |
| 117 | + <p><sup>†</sup> Department of Computer Science and Engineering, University of Minnesota</p> |
| 118 | + <p><sup>‡</sup> Family Social Science, College of Education and Human Development, University of Minnesota</p> |
| 119 | + </div> |
| 120 | + </header> |
| 121 | + |
| 122 | + <section> |
| 123 | + <h2>Colab Notebooks</h2> |
| 124 | + <div style="text-align:center; margin-bottom: 30px;"> |
| 125 | + <a href="https://colab.research.google.com/drive/NOTEBOOK_ID_1" target="_blank" style="margin: 0 15px; padding: 10px 20px; background:#3498db; color:white; text-decoration:none; border-radius:8px;">Notebook 1</a> |
| 126 | + <a href="https://colab.research.google.com/drive/NOTEBOOK_ID_2" target="_blank" style="margin: 0 15px; padding: 10px 20px; background:#2ecc71; color:white; text-decoration:none; border-radius:8px;">Notebook 2</a> |
| 127 | + </div> |
| 128 | + </section> |
| 129 | + |
| 130 | + <section> |
| 131 | + <h2>Try Out StreetLens</h2> |
| 132 | + <div class="buttons"> |
| 133 | + <button onclick="runModule('data_processor')">Run DataProcessor</button> |
| 134 | + <button onclick="runModule('prompt_tuner')">Run PromptTuner</button> |
| 135 | + <button onclick="runModule('vlm_processor')">Run VLMProcessor</button> |
| 136 | + </div> |
| 137 | + |
| 138 | + <div id="output">Logs will appear here...</div> |
| 139 | + </section> |
| 140 | + <script> |
| 141 | + const BACKEND_URL = "https://palestine-connect-immigrants-lead.trycloudflare.com"; |
| 142 | + |
| 143 | + async function runModule(module) { |
| 144 | + document.getElementById("output").textContent = "Running " + module + "..."; |
| 145 | + |
| 146 | + try { |
| 147 | + const res = await fetch(`${BACKEND_URL}/api/${module}`, { method: "POST" }); |
| 148 | + const data = await res.json(); |
| 149 | + document.getElementById("output").textContent = data.logs || "No logs received"; |
| 150 | + } catch (err) { |
| 151 | + document.getElementById("output").textContent = "Error: " + err; |
| 152 | + } |
| 153 | + } |
| 154 | + </script> |
| 155 | + |
| 156 | + <section> |
| 157 | + <h2>Paper BibTeX</h2> |
| 158 | + <div id="bibtex"> |
| 159 | + @misc{kim2025streetlensenablinghumancenteredai, |
| 160 | + title={StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery}, |
| 161 | + author={Jina Kim and Leeje Jang and Yao-Yi Chiang and Guanyu Wang and Michelle Pasco}, |
| 162 | + year={2025}, |
| 163 | + eprint={2506.14670}, |
| 164 | + archivePrefix={arXiv}, |
| 165 | + primaryClass={cs.HC}, |
| 166 | + url={https://arxiv.org/abs/2506.14670}, |
| 167 | + } |
| 168 | + </div> |
| 169 | + </section> |
| 170 | +</body> |
| 171 | +</html> |
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