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1 | | -<!DOCTYPE html> |
2 | | -<html> |
3 | | -<head> |
4 | | - <title>AI Data Science Lab</title> |
5 | | -</head> |
6 | | -<body> |
7 | | - <h2>Upload Your Data</h2> |
8 | | - <form id="uploadForm"> |
9 | | - <input type="file" id="fileInput" name="file" accept=".csv" required> |
10 | | - <input type="submit" value="Upload and Analyze"> |
11 | | - </form> |
12 | | - |
13 | | - <h3>OpenAI Summary</h3> |
14 | | - <div id="summary"></div> |
15 | | - |
16 | | - <h3>Scatter Plot</h3> |
17 | | - <img id="plot" style="display:none;" alt="Scatter Plot" /> |
18 | | - |
19 | | - <h3>Backend Log</h3> |
20 | | - <pre id="log"></pre> |
21 | | - |
22 | | - <h3>Forecasted Values</h3> |
23 | | - <pre id="forecast"></pre> |
24 | | - |
25 | | - <form id="predictForm"> |
26 | | - <label>Enter future X values (comma-separated, e.g., 2025-06-01, 2025-06-15):</label><br> |
27 | | - <input type="text" id="futureInput" placeholder="e.g., 2025-06-01, 2025-06-15"> |
28 | | - <input type="submit" value="Forecast"> |
29 | | - </form> |
30 | | - |
31 | | - <script> |
32 | | - const backendUrl = 'https://ai-dslab-backend-cpf2feachnetbbck.westus-01.azurewebsites.net'; |
33 | | - |
34 | | - document.getElementById('uploadForm').addEventListener('submit', async function (e) { |
35 | | - e.preventDefault(); |
36 | | - const formData = new FormData(); |
37 | | - formData.append('file', document.getElementById('fileInput').files[0]); |
38 | | - |
39 | | - try { |
40 | | - const response = await fetch(`${backendUrl}/upload`, { |
41 | | - method: 'POST', |
42 | | - body: formData |
43 | | - }); |
44 | | - |
45 | | - if (!response.ok) { |
46 | | - const errorText = await response.text(); |
47 | | - console.error("Upload error:", errorText); |
48 | | - alert("Upload failed: " + response.status); |
49 | | - return; |
50 | | - } |
51 | | - |
52 | | - const data = await response.json(); |
53 | | - |
54 | | - document.getElementById('summary').textContent = data.summary; |
55 | | - document.getElementById('log').textContent = data.log; |
56 | | - document.getElementById('forecast').textContent = data.forecast; |
57 | | - document.getElementById('plot').src = `${backendUrl}${data.plot_url}`; |
58 | | - document.getElementById('plot').style.display = 'block'; |
59 | | - |
60 | | - } catch (err) { |
61 | | - console.error("Unexpected upload error:", err); |
62 | | - alert("Upload failed: " + err.message); |
| 1 | +<script> |
| 2 | + document.getElementById('uploadForm').addEventListener('submit', async function (e) { |
| 3 | + e.preventDefault(); |
| 4 | + const formData = new FormData(); |
| 5 | + formData.append('file', document.getElementById('fileInput').files[0]); |
| 6 | + |
| 7 | + try { |
| 8 | + const response = await fetch('/upload', { |
| 9 | + method: 'POST', |
| 10 | + body: formData |
| 11 | + }); |
| 12 | + |
| 13 | + if (!response.ok) { |
| 14 | + const errorText = await response.text(); |
| 15 | + console.error("Upload error:", errorText); |
| 16 | + alert("Upload failed: " + response.status); |
| 17 | + return; |
63 | 18 | } |
64 | | - }); |
65 | | - |
66 | | - document.getElementById('predictForm').addEventListener('submit', async function (e) { |
67 | | - e.preventDefault(); |
68 | | - const futureX = document.getElementById('futureInput').value; |
69 | | - |
70 | | - const formData = new FormData(); |
71 | | - formData.append('future_x', futureX); |
72 | | - |
73 | | - try { |
74 | | - const response = await fetch(`${backendUrl}/predict`, { |
75 | | - method: 'POST', |
76 | | - body: formData |
77 | | - }); |
78 | 19 |
|
79 | | - if (!response.ok) { |
80 | | - const errorText = await response.text(); |
81 | | - console.error("Predict error:", errorText); |
82 | | - alert("Prediction failed: " + response.status); |
83 | | - return; |
84 | | - } |
85 | | - |
86 | | - const data = await response.json(); |
87 | | - |
88 | | - document.getElementById('forecast').textContent = |
89 | | - typeof data.forecast === "string" |
90 | | - ? data.forecast |
91 | | - : JSON.stringify(data.forecast, null, 2); |
92 | | - document.getElementById('log').textContent = data.log; |
93 | | - document.getElementById('plot').src = `${backendUrl}${data.plot_url}`; |
94 | | - document.getElementById('plot').style.display = 'block'; |
95 | | - |
96 | | - } catch (err) { |
97 | | - console.error("Unexpected prediction error:", err); |
98 | | - alert("Prediction failed: " + err.message); |
| 20 | + const data = await response.json(); |
| 21 | + |
| 22 | + document.getElementById('summary').textContent = data.summary; |
| 23 | + document.getElementById('log').textContent = data.log; |
| 24 | + document.getElementById('forecast').textContent = data.forecast; |
| 25 | + document.getElementById('plot').src = data.plot_url; |
| 26 | + document.getElementById('plot').style.display = 'block'; |
| 27 | + |
| 28 | + } catch (err) { |
| 29 | + console.error("Unexpected upload error:", err); |
| 30 | + alert("Upload failed: " + err.message); |
| 31 | + } |
| 32 | + }); |
| 33 | + |
| 34 | + document.getElementById('predictForm').addEventListener('submit', async function (e) { |
| 35 | + e.preventDefault(); |
| 36 | + const futureX = document.getElementById('futureInput').value; |
| 37 | + |
| 38 | + const formData = new FormData(); |
| 39 | + formData.append('future_x', futureX); |
| 40 | + |
| 41 | + try { |
| 42 | + const response = await fetch('/predict', { |
| 43 | + method: 'POST', |
| 44 | + body: formData |
| 45 | + }); |
| 46 | + |
| 47 | + if (!response.ok) { |
| 48 | + const errorText = await response.text(); |
| 49 | + console.error("Predict error:", errorText); |
| 50 | + alert("Prediction failed: " + response.status); |
| 51 | + return; |
99 | 52 | } |
100 | | - }); |
101 | | - </script> |
102 | | -</body> |
103 | | -</html> |
| 53 | + |
| 54 | + const data = await response.json(); |
| 55 | + |
| 56 | + document.getElementById('forecast').textContent = |
| 57 | + typeof data.forecast === "string" |
| 58 | + ? data.forecast |
| 59 | + : JSON.stringify(data.forecast, null, 2); |
| 60 | + document.getElementById('log').textContent = data.log; |
| 61 | + document.getElementById('plot').src = data.plot_url; |
| 62 | + document.getElementById('plot').style.display = 'block'; |
| 63 | + |
| 64 | + } catch (err) { |
| 65 | + console.error("Unexpected prediction error:", err); |
| 66 | + alert("Prediction failed: " + err.message); |
| 67 | + } |
| 68 | + }); |
| 69 | +</script> |
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