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API_EXAMPLES.md
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# API Usage Examples
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## Python Examples
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### Example 1: Colorize Image with Requests
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```python
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import requests
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# Your Firebase App Check token
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APP_CHECK_TOKEN = "your-app-check-token-here"
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API_BASE_URL = "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space"
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# Colorize an image
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def colorize_image(image_path):
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url = f"{API_BASE_URL}/colorize"
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headers = {
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"X-Firebase-AppCheck": APP_CHECK_TOKEN
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}
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with open(image_path, "rb") as f:
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files = {"file": f}
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response = requests.post(url, headers=headers, files=files)
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if response.status_code == 200:
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result = response.json()
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print(f"Success! Download URL: {result['download_url']}")
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return result
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else:
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print(f"Error: {response.status_code} - {response.text}")
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return None
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# Usage
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result = colorize_image("grayscale_image.jpg")
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if result:
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print(f"Colorized image available at: {result['download_url']}")
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```
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### Example 2: Upload and Colorize
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```python
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import requests
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APP_CHECK_TOKEN = "your-app-check-token-here"
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API_BASE_URL = "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space"
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def upload_and_colorize(image_path):
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headers = {"X-Firebase-AppCheck": APP_CHECK_TOKEN}
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# Step 1: Upload image
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with open(image_path, "rb") as f:
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files = {"file": f}
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upload_response = requests.post(
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f"{API_BASE_URL}/upload",
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headers=headers,
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files=files
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)
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if upload_response.status_code != 200:
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print(f"Upload failed: {upload_response.text}")
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return None
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upload_result = upload_response.json()
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print(f"Image uploaded: {upload_result['image_url']}")
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# Step 2: Colorize the uploaded image
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with open(image_path, "rb") as f:
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files = {"file": f}
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colorize_response = requests.post(
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f"{API_BASE_URL}/colorize",
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headers=headers,
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files=files
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)
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if colorize_response.status_code == 200:
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result = colorize_response.json()
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print(f"Colorized image: {result['download_url']}")
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return result
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else:
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print(f"Colorization failed: {colorize_response.text}")
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return None
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# Usage
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result = upload_and_colorize("my_image.jpg")
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```
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### Example 3: Download Result
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```python
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import requests
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APP_CHECK_TOKEN = "your-app-check-token-here"
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API_BASE_URL = "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space"
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def download_colorized_image(result_id, output_path):
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url = f"{API_BASE_URL}/download/{result_id}"
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headers = {"X-Firebase-AppCheck": APP_CHECK_TOKEN}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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with open(output_path, "wb") as f:
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f.write(response.content)
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print(f"Image saved to: {output_path}")
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return True
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else:
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print(f"Download failed: {response.status_code}")
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return False
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# Usage
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result = colorize_image("input.jpg")
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if result:
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download_colorized_image(result["result_id"], "colorized_output.jpg")
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```
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---
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## JavaScript/TypeScript Examples
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### Example 1: Colorize Image with Fetch
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```javascript
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const API_BASE_URL = 'https://logicgoinfotechspaces-text-guided-image-colorization.hf.space';
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async function colorizeImage(imageFile, appCheckToken) {
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const formData = new FormData();
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formData.append('file', imageFile);
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try {
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const response = await fetch(`${API_BASE_URL}/colorize`, {
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method: 'POST',
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headers: {
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'X-Firebase-AppCheck': appCheckToken
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},
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body: formData
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});
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if (!response.ok) {
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const error = await response.json();
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throw new Error(error.detail || 'Colorization failed');
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}
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const result = await response.json();
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console.log('Colorized image URL:', result.download_url);
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return result;
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} catch (error) {
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console.error('Error:', error);
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throw error;
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}
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}
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// Usage
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const fileInput = document.getElementById('image-input');
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const file = fileInput.files[0];
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colorizeImage(file, appCheckToken)
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.then(result => {
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// Display the image
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const img = document.createElement('img');
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img.src = result.download_url;
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document.body.appendChild(img);
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})
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.catch(error => {
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console.error('Failed to colorize:', error);
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});
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```
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### Example 2: Complete Workflow with Firebase App Check
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```javascript
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import { initializeApp } from "firebase/app";
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import { initializeAppCheck, ReCaptchaEnterpriseProvider } from "firebase/app-check";
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// Initialize Firebase
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const firebaseConfig = {
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apiKey: "AIzaSyBIB6rcfyyqy5niERTXWvVD714Ter4Vx68",
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authDomain: "colorize-662df.firebaseapp.com",
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projectId: "colorize-662df",
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storageBucket: "colorize-662df.firebasestorage.app",
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messagingSenderId: "69166278311",
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appId: "1:69166278311:web:0e8c50b8dd8627aaeadd82",
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measurementId: "G-58CC2J8XKX"
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};
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const app = initializeApp(firebaseConfig);
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const appCheck = initializeAppCheck(app, {
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provider: new ReCaptchaEnterpriseProvider('YOUR_RECAPTCHA_SITE_KEY'),
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isTokenAutoRefreshEnabled: true
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});
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// Get App Check token
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async function getAppCheckToken() {
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const { getToken } = await import('firebase/app-check');
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try {
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const token = await getToken(appCheck);
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return token.token;
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} catch (error) {
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console.error('Error getting App Check token:', error);
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return null;
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}
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}
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// Colorize image function
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async function colorizeImageWithAppCheck(imageFile) {
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const token = await getAppCheckToken();
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if (!token) {
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throw new Error('Failed to get App Check token');
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}
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const formData = new FormData();
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formData.append('file', imageFile);
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const response = await fetch(
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'https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize',
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{
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method: 'POST',
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headers: {
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'X-Firebase-AppCheck': token
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},
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body: formData
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}
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);
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if (!response.ok) {
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const error = await response.json();
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throw new Error(error.detail || 'Colorization failed');
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}
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return await response.json();
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}
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// Usage in HTML form
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document.getElementById('colorize-form').addEventListener('submit', async (e) => {
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e.preventDefault();
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const fileInput = document.getElementById('image-input');
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const file = fileInput.files[0];
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if (!file) {
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alert('Please select an image');
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return;
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}
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try {
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const result = await colorizeImageWithAppCheck(file);
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// Display result
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const resultImg = document.getElementById('result-image');
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resultImg.src = result.download_url;
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resultImg.style.display = 'block';
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console.log('Colorized image:', result.download_url);
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} catch (error) {
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console.error('Error:', error);
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alert('Failed to colorize image: ' + error.message);
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}
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});
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```
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### Example 3: React Component
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```jsx
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import React, { useState } from 'react';
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import { getToken } from 'firebase/app-check';
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function ColorizeImage() {
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const [file, setFile] = useState(null);
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const [loading, setLoading] = useState(false);
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const [result, setResult] = useState(null);
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const [error, setError] = useState(null);
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const handleFileChange = (e) => {
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setFile(e.target.files[0]);
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setResult(null);
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setError(null);
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};
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const handleColorize = async () => {
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if (!file) {
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setError('Please select an image');
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return;
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}
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setLoading(true);
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setError(null);
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try {
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// Get App Check token
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const token = await getToken(appCheck);
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const formData = new FormData();
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formData.append('file', file);
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const response = await fetch(
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'https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize',
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{
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method: 'POST',
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headers: {
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'X-Firebase-AppCheck': token.token
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},
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body: formData
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}
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);
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if (!response.ok) {
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const errorData = await response.json();
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throw new Error(errorData.detail || 'Colorization failed');
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}
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const data = await response.json();
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setResult(data);
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} catch (err) {
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setError(err.message);
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} finally {
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setLoading(false);
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}
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};
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return (
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<div>
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<input type="file" accept="image/*" onChange={handleFileChange} />
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<button onClick={handleColorize} disabled={loading || !file}>
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{loading ? 'Colorizing...' : 'Colorize Image'}
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</button>
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{error && <div className="error">{error}</div>}
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{result && (
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<div>
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<h3>Colorized Image:</h3>
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<img src={result.download_url} alt="Colorized" />
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<a href={result.download_url} download>Download</a>
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</div>
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)}
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</div>
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);
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}
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export default ColorizeImage;
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```
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---
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## cURL Examples
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### Health Check
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```bash
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curl https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/health
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```
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### Upload Image
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```bash
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curl -X POST \
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https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/upload \
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-H "X-Firebase-AppCheck: YOUR_TOKEN" \
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-F "file=@image.jpg"
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```
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### Colorize Image
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```bash
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curl -X POST \
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https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize \
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-H "X-Firebase-AppCheck: YOUR_TOKEN" \
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-F "file=@grayscale_image.jpg" \
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-o response.json
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```
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### Download Result
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```bash
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# Get result ID from colorize response first
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RESULT_ID="550e8400-e29b-41d4-a716-446655440000"
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curl -X GET \
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https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/download/${RESULT_ID} \
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-H "X-Firebase-AppCheck: YOUR_TOKEN" \
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-o colorized_image.jpg
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```
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---
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## Postman Collection
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### Collection JSON
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```json
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{
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"info": {
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"name": "Colorize API",
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"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
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},
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"item": [
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{
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"name": "Health Check",
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"request": {
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"method": "GET",
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"header": [],
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"url": {
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"raw": "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/health",
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"protocol": "https",
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"host": ["logicgoinfotechspaces-text-guided-image-colorization", "hf", "space"],
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"path": ["health"]
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}
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}
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},
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{
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"name": "Colorize Image",
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"request": {
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"method": "POST",
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"header": [
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{
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"key": "X-Firebase-AppCheck",
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"value": "{{app_check_token}}",
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"type": "text"
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}
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],
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"body": {
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"mode": "formdata",
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"formdata": [
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{
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"key": "file",
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"type": "file",
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"src": []
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}
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]
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| 430 |
-
},
|
| 431 |
-
"url": {
|
| 432 |
-
"raw": "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize",
|
| 433 |
-
"protocol": "https",
|
| 434 |
-
"host": ["logicgoinfotechspaces-text-guided-image-colorization", "hf", "space"],
|
| 435 |
-
"path": ["colorize"]
|
| 436 |
-
}
|
| 437 |
-
}
|
| 438 |
-
}
|
| 439 |
-
],
|
| 440 |
-
"variable": [
|
| 441 |
-
{
|
| 442 |
-
"key": "app_check_token",
|
| 443 |
-
"value": "your-token-here"
|
| 444 |
-
}
|
| 445 |
-
]
|
| 446 |
-
}
|
| 447 |
-
```
|
| 448 |
-
|
| 449 |
-
---
|
| 450 |
-
|
| 451 |
-
## Error Handling Examples
|
| 452 |
-
|
| 453 |
-
### Python
|
| 454 |
-
|
| 455 |
-
```python
|
| 456 |
-
import requests
|
| 457 |
-
|
| 458 |
-
def colorize_with_error_handling(image_path, token):
|
| 459 |
-
url = "https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize"
|
| 460 |
-
headers = {"X-Firebase-AppCheck": token}
|
| 461 |
-
|
| 462 |
-
try:
|
| 463 |
-
with open(image_path, "rb") as f:
|
| 464 |
-
files = {"file": f}
|
| 465 |
-
response = requests.post(url, headers=headers, files=files, timeout=120)
|
| 466 |
-
|
| 467 |
-
if response.status_code == 200:
|
| 468 |
-
return response.json()
|
| 469 |
-
elif response.status_code == 401:
|
| 470 |
-
raise Exception("Invalid or missing App Check token")
|
| 471 |
-
elif response.status_code == 400:
|
| 472 |
-
raise Exception("Invalid file or request")
|
| 473 |
-
elif response.status_code == 503:
|
| 474 |
-
raise Exception("Model not loaded, please try again later")
|
| 475 |
-
else:
|
| 476 |
-
error = response.json()
|
| 477 |
-
raise Exception(f"Error {response.status_code}: {error.get('detail', 'Unknown error')}")
|
| 478 |
-
|
| 479 |
-
except requests.exceptions.Timeout:
|
| 480 |
-
raise Exception("Request timed out. Image processing may take 30-60 seconds.")
|
| 481 |
-
except requests.exceptions.RequestException as e:
|
| 482 |
-
raise Exception(f"Network error: {str(e)}")
|
| 483 |
-
```
|
| 484 |
-
|
| 485 |
-
### JavaScript
|
| 486 |
-
|
| 487 |
-
```javascript
|
| 488 |
-
async function colorizeWithErrorHandling(imageFile, token) {
|
| 489 |
-
try {
|
| 490 |
-
const formData = new FormData();
|
| 491 |
-
formData.append('file', imageFile);
|
| 492 |
-
|
| 493 |
-
const response = await fetch(
|
| 494 |
-
'https://logicgoinfotechspaces-text-guided-image-colorization.hf.space/colorize',
|
| 495 |
-
{
|
| 496 |
-
method: 'POST',
|
| 497 |
-
headers: {
|
| 498 |
-
'X-Firebase-AppCheck': token
|
| 499 |
-
},
|
| 500 |
-
body: formData,
|
| 501 |
-
signal: AbortSignal.timeout(120000) // 120 second timeout
|
| 502 |
-
}
|
| 503 |
-
);
|
| 504 |
-
|
| 505 |
-
if (!response.ok) {
|
| 506 |
-
const error = await response.json();
|
| 507 |
-
|
| 508 |
-
switch (response.status) {
|
| 509 |
-
case 401:
|
| 510 |
-
throw new Error('Invalid or missing App Check token');
|
| 511 |
-
case 400:
|
| 512 |
-
throw new Error('Invalid file or request');
|
| 513 |
-
case 503:
|
| 514 |
-
throw new Error('Model not loaded, please try again later');
|
| 515 |
-
default:
|
| 516 |
-
throw new Error(error.detail || `Error ${response.status}: ${response.statusText}`);
|
| 517 |
-
}
|
| 518 |
-
}
|
| 519 |
-
|
| 520 |
-
return await response.json();
|
| 521 |
-
} catch (error) {
|
| 522 |
-
if (error.name === 'AbortError') {
|
| 523 |
-
throw new Error('Request timed out. Image processing may take 30-60 seconds.');
|
| 524 |
-
}
|
| 525 |
-
throw error;
|
| 526 |
-
}
|
| 527 |
-
}
|
| 528 |
-
```
|
| 529 |
-
|
| 530 |
-
---
|
| 531 |
-
|
| 532 |
-
## Best Practices
|
| 533 |
-
|
| 534 |
-
1. **Always check health endpoint first** before making requests
|
| 535 |
-
2. **Handle timeouts** - Processing can take 30-60 seconds on CPU
|
| 536 |
-
3. **Cache App Check tokens** - They auto-refresh, but cache them to avoid unnecessary requests
|
| 537 |
-
4. **Use public URLs** for displaying images (no auth needed)
|
| 538 |
-
5. **Handle errors gracefully** - Show user-friendly error messages
|
| 539 |
-
6. **Validate file types** before uploading
|
| 540 |
-
7. **Show loading indicators** during processing
|
| 541 |
-
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