Download Backend/static/script.js from AIOmarRehan/CNN_Autoencoder_For_Image_Denoising: direct link, hf CLI and curl.
- Browser
- Download file 2.22 kB
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https://huggingface.co/spaces/AIOmarRehan/CNN_Autoencoder_For_Image_Denoising/resolve/main/Backend/static/script.js
- Command line
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hf download hf://spaces/AIOmarRehan/CNN_Autoencoder_For_Image_Denoising/Backend/static/script.js
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curl -L -o script.js https://huggingface.co/spaces/AIOmarRehan/CNN_Autoencoder_For_Image_Denoising/resolve/main/Backend/static/script.js
2.22 kB
| const uploadArea = document.getElementById("uploadArea"); | |
| const fileInput = document.getElementById("fileInput"); | |
| const preview = document.getElementById("preview"); | |
| const runBtn = document.getElementById("runBtn"); | |
| const loader = document.getElementById("loader"); | |
| const result = document.getElementById("result"); | |
| let uploadedFile = null; | |
| // Open file browser on click | |
| uploadArea.addEventListener("click", () => fileInput.click()); | |
| // Handle file input | |
| fileInput.addEventListener("change", (e) => { | |
| uploadedFile = e.target.files[0]; | |
| showPreview(uploadedFile); | |
| }); | |
| // Drag & drop | |
| uploadArea.addEventListener("dragover", (e) => { | |
| e.preventDefault(); | |
| uploadArea.style.background = "rgba(79,195,247,0.2)"; | |
| }); | |
| uploadArea.addEventListener("dragleave", () => { | |
| uploadArea.style.background = "rgba(255,255,255,0.05)"; | |
| }); | |
| uploadArea.addEventListener("drop", (e) => { | |
| e.preventDefault(); | |
| uploadedFile = e.dataTransfer.files[0]; | |
| showPreview(uploadedFile); | |
| }); | |
| function showPreview(file) { | |
| if (!file) return; | |
| const reader = new FileReader(); | |
| reader.onload = (e) => { | |
| preview.innerHTML = `<img src="${e.target.result}" alt="Preview">`; | |
| }; | |
| reader.readAsDataURL(file); | |
| } | |
| runBtn.addEventListener("click", async () => { | |
| if (!uploadedFile) { | |
| alert("Please upload an image first!"); | |
| return; | |
| } | |
| loader.style.display = "block"; | |
| result.innerHTML = ""; | |
| const formData = new FormData(); | |
| formData.append("file", uploadedFile); | |
| try { | |
| const response = await fetch("http://127.0.0.1:5000/predict", { | |
| method: "POST", | |
| body: formData, | |
| }); | |
| if (!response.ok) throw new Error("Failed to fetch result from backend."); | |
| const blob = await response.blob(); | |
| const url = URL.createObjectURL(blob); | |
| loader.style.display = "none"; | |
| result.innerHTML = ` | |
| <div> | |
| <h3>Original</h3> | |
| <img src="${URL.createObjectURL(uploadedFile)}" alt="Original"> | |
| </div> | |
| <div> | |
| <h3>Denoised Image</h3> | |
| <img src="${url}" alt="Denoised Image"> | |
| </div> | |
| `; | |
| } catch (err) { | |
| loader.style.display = "none"; | |
| alert(err.message); | |
| } | |
| }); | |