Add 2 files

index.html

@@ -68,7 +68,7 @@
             width: 0;
             height: 0;
             border-left: 6px solid transparent;
-            border-right: 6px solid transparent;
+            border-right: 6px solid solid transparent;
             border-top: 6px solid rgba(0, 0, 0, 0.8);
             bottom: -6px;
             left: 50%;
@@ -150,7 +150,7 @@
                         <option value="">Select a sample...</option>
                         <option value="https://images.unsplash.com/photo-1546069901-ba9599a7e63c?w=800">Food Sample</option>
                         <option value="https://images.unsplash.com/photo-1526170375885-4d8ecf77b99f?w=800">Electronics Sample</option>
-                        <option value="https://images.unsplash.com/photo-1551963831-b3b1ca40c98e?w=800">Flower Sample</option>
+                        <option value="https://images.unsplash.com/photo-1524805444758-089113d48a6d?w=800">Watch Sample</option>
                         <option value="https://images.unsplash.com/photo-1489987707025-afc232f7ea0f?w=800">Clothing Sample</option>
                     </select>
                 </div>
@@ -286,6 +286,7 @@
             let currentMediaUrl = '';
             let currentMediaWidth = 0;
             let currentMediaHeight = 0;
+            let currentMediaCategory = '';
 
             // Event listeners
             uploadBtn.addEventListener('click', () => fileInput.click());
@@ -315,6 +316,21 @@
                 mediaType.value = currentMediaType;
                 
                 const url = URL.createObjectURL(file);
+                
+                // Try to detect category from filename if possible
+                const fileName = file.name.toLowerCase();
+                if (fileName.includes('watch') || fileName.includes('time') || fileName.includes('clock')) {
+                    currentMediaCategory = 'watch';
+                } else if (fileName.includes('food') || fileName.includes('meal') || fileName.includes('dish')) {
+                    currentMediaCategory = 'food';
+                } else if (fileName.includes('cloth') || fileName.includes('shirt') || fileName.includes('jacket')) {
+                    currentMediaCategory = 'clothing';
+                } else if (fileName.includes('electronic') || fileName.includes('camera') || fileName.includes('gadget')) {
+                    currentMediaCategory = 'electronics';
+                } else {
+                    currentMediaCategory = ''; // Will be detected from visual analysis
+                }
+                
                 loadMedia(url);
             }
 
@@ -334,6 +350,20 @@
                 currentMediaType = 'image'; // All samples are images
                 mediaType.value = currentMediaType;
                 
+                // Set category based on sample selection
+                const sampleText = sampleSelect.options[sampleSelect.selectedIndex].text;
+                if (sampleText.includes('Food')) {
+                    currentMediaCategory = 'food';
+                } else if (sampleText.includes('Electronics')) {
+                    currentMediaCategory = 'electronics';
+                } else if (sampleText.includes('Watch')) {
+                    currentMediaCategory = 'watch';
+                } else if (sampleText.includes('Clothing')) {
+                    currentMediaCategory = 'clothing';
+                } else {
+                    currentMediaCategory = '';
+                }
+                
                 loadMedia(url);
             }
 
@@ -351,6 +381,10 @@
                     
                     mediaElement.onload = function() {
                         setupCanvas(mediaElement);
+                        // If category wasn't set, try to detect from image
+                        if (!currentMediaCategory) {
+                            detectCategoryFromImage(mediaElement);
+                        }
                     };
                 } else {
                     videoElement.src = url;
@@ -368,6 +402,69 @@
                 resultsContainer.classList.add('hidden');
             }
 
+            // Simple image analysis to detect category
+            function detectCategoryFromImage(img) {
+                // Create a temporary canvas to analyze the image
+                const tempCanvas = document.createElement('canvas');
+                const tempCtx = tempCanvas.getContext('2d');
+                tempCanvas.width = img.naturalWidth;
+                tempCanvas.height = img.naturalHeight;
+                tempCtx.drawImage(img, 0, 0);
+                
+                // Get image data
+                const imageData = tempCtx.getImageData(0, 0, tempCanvas.width, tempCanvas.height);
+                const data = imageData.data;
+                
+                // Simple analysis (this is very basic - in a real app you'd use ML)
+                let colorCount = 0;
+                let darkCount = 0;
+                let brightCount = 0;
+                let redCount = 0;
+                let blueCount = 0;
+                let greenCount = 0;
+                
+                // Sample some pixels (every 10th pixel for performance)
+                for (let i = 0; i < data.length; i += 40) {
+                    const r = data[i];
+                    const g = data[i + 1];
+                    const b = data[i + 2];
+                    const a = data[i + 3];
+                    
+                    if (a > 0) {
+                        colorCount++;
+                        const brightness = (r + g + b) / 3;
+                        
+                        if (brightness < 85) darkCount++;
+                        if (brightness > 170) brightCount++;
+                        
+                        if (r > g * 1.5 && r > b * 1.5) redCount++;
+                        if (g > r * 1.5 && g > b * 1.5) greenCount++;
+                        if (b > r * 1.5 && b > g * 1.5) blueCount++;
+                    }
+                }
+                
+                // Make a guess based on colors
+                const totalPixels = colorCount;
+                const redRatio = redCount / totalPixels;
+                const greenRatio = greenCount / totalPixels;
+                const blueRatio = blueCount / totalPixels;
+                const brightRatio = brightCount / totalPixels;
+                const darkRatio = darkCount / totalPixels;
+                
+                // Very basic heuristics
+                if (greenRatio > 0.3 && brightRatio > 0.5) {
+                    currentMediaCategory = 'food'; // Likely food with lots of greens/bright colors
+                } else if (darkRatio > 0.7) {
+                    currentMediaCategory = 'electronics'; // Likely dark background electronics
+                } else if (blueRatio > 0.3 && brightRatio > 0.4) {
+                    currentMediaCategory = 'clothing'; // Likely clothing with blue tones
+                } else if (brightRatio > 0.6 && redRatio < 0.2 && greenRatio < 0.2) {
+                    currentMediaCategory = 'watch'; // Likely watch with metallic/silver tones
+                } else {
+                    currentMediaCategory = ''; // Unknown
+                }
+            }
+
             // Setup canvas dimensions
             function setupCanvas(media) {
                 const container = media.parentElement;
@@ -547,17 +644,16 @@
                 searchResults.innerHTML = '';
                 searchTags.innerHTML = '';
                 
-                // Generate search tags based on sample selected
+                // Generate search tags based on detected category
                 let tags = [];
-                const sampleText = sampleSelect.options[sampleSelect.selectedIndex].text;
                 
-                if (sampleText.includes('Food')) {
+                if (currentMediaCategory === 'food') {
                     tags = ['food', 'meal', 'delicious', 'recipe', 'cooking', 'breakfast', 'healthy', 'nutrition'];
-                } else if (sampleText.includes('Electronics')) {
+                } else if (currentMediaCategory === 'electronics') {
                     tags = ['electronics', 'camera', 'photography', 'tech', 'gadget', 'digital', 'lens', 'accessories'];
-                } else if (sampleText.includes('Flower')) {
-                    tags = ['flower', 'floral', 'bouquet', 'garden', 'bloom', 'nature', 'plant', 'arrangement'];
-                } else if (sampleText.includes('Clothing')) {
+                } else if (currentMediaCategory === 'watch') {
+                    tags = ['watch', 'timepiece', 'wristwatch', 'luxury', 'smartwatch', 'analog', 'digital', 'chronograph'];
+                } else if (currentMediaCategory === 'clothing') {
                     tags = ['clothing', 'fashion', 'apparel', 'style', 'wear', 'jacket', 'outfit', 'casual'];
                 } else {
                     tags = ['object', 'item', 'visual', 'search', 'similar', 'product', 'shopping', 'online'];
@@ -572,7 +668,7 @@
                 });
                 
                 // Generate mock results that simulate Google search results
-                const mockResults = generateMockResults(sampleText);
+                const mockResults = generateMockResults();
                 
                 // Display results
                 mockResults.forEach(result => {
@@ -633,9 +729,9 @@
                 resultsContainer.scrollIntoView({ behavior: 'smooth' });
             }
             
-            // Generate mock search results based on sample type
-            function generateMockResults(sampleText) {
-                if (sampleText.includes('Food')) {
+            // Generate mock search results based on detected category
+            function generateMockResults() {
+                if (currentMediaCategory === 'food') {
                     return [
                         { url: 'https://images.unsplash.com/photo-1546069901-ba9599a7e63c?w=300', title: 'Delicious Breakfast Platter', source: 'foodnetwork.com', price: '$12.99', rating: 4.5, reviews: 128 },
                         { url: 'https://images.unsplash.com/photo-1565958011703-44f9829ba187?w=300', title: 'Healthy Meal Prep Containers', source: 'mealprep.com', price: '$9.99', rating: 4.2, reviews: 87 },
@@ -646,7 +742,7 @@
                         { url: 'https://images.unsplash.com/photo-1490645935967-10de6ba17061?w=300', title: 'Acai Breakfast Bowl', source: 'superfoods.com', price: '$11.49', rating: 4.9, reviews: 287 },
                         { url: 'https://images.unsplash.com/photo-1546069901-d5bfd2cbfb1f?w=300', title: 'Colorful Salad Ingredients', source: 'saladrecipes.com', price: '$6.99', rating: 4.1, reviews: 53 }
                     ];
-                } else if (sampleText.includes('Electronics')) {
+                } else if (currentMediaCategory === 'electronics') {
                     return [
                         { url: 'https://images.unsplash.com/photo-1526170375885-4d8ecf77b99f?w=300', title: 'Vintage Camera Collection', source: 'vintagecameras.com', price: '$249.99', rating: 4.8, reviews: 342 },
                         { url: 'https://images.unsplash.com/photo-1516035069371-29a1b244cc32?w=300', title: '4K Digital Camera', source: 'techgadgets.com', price: '$399.99', rating: 4.6, reviews: 215 },
@@ -657,18 +753,18 @@
                         { url: 'https://images.unsplash.com/photo-1516035069371-29a1b244cc32?w=300', title: 'Polaroid Instant Camera', source: 'instantphotos.com', price: '$129.99', rating: 4.2, reviews: 187 },
                         { url: 'https://images.unsplash.com/photo-1516035069371-29a1b244cc32?w=300', title: 'Film Camera Starter Kit', source: 'filmphotography.com', price: '$199.99', rating: 4.7, reviews: 156 }
                     ];
-                } else if (sampleText.includes('Flower')) {
+                } else if (currentMediaCategory === 'watch') {
                     return [
-                        { url: 'https://images.unsplash.com/photo-1551963831-b3b1ca40c98e?w=300', title: 'Fresh Cut Flowers Bouquet', source: 'florist.com', price: '$29.99', rating: 4.8, reviews: 432 },
-                        { url: 'https://images.unsplash.com/photo-1521012012373-6a85fade14b3?w=300', title: 'Rose Flower Arrangement', source: 'rosegarden.com', price: '$39.99', rating: 4.9, reviews: 387 },
-                        { url: 'https://images.unsplash.com/photo-1490750967868-88aa4486c946?w=300', title: 'Sunflower Bouquet', source: 'sunflowershop.com', price: '$24.99', rating: 4.7, reviews: 215 },
-                        { url: 'https://images.unsplash.com/photo-1455659817273-68adca893fe3?w=300', title: 'Tulip Flower Bunch', source: 'tulipfarm.com', price: '$19.99', rating: 4.6, reviews: 176 },
-                        { url: 'https://images.unsplash.com/photo-1455659817273-68adca893fe3?w=300', title: 'Orchid Plant in Pot', source: 'orchidlovers.com', price: '$34.99', rating: 4.8, reviews: 243 },
-                        { url: 'https://images.unsplash.com/photo-1455659817273-68adca893fe3?w=300', title: 'Lily Flower Arrangement', source: 'lilygarden.com', price: '$27.99', rating: 4.5, reviews: 128 },
-                        { url: 'https://images.unsplash.com/photo-1455659817273-68adca893fe3?w=300', title: 'Wildflower Seed Mix', source: 'gardensupply.com', price: '$14.99', rating: 4.4, reviews: 342 },
-                        { url: 'https://images.unsplash.com/photo-1455659817273-68adca893fe3?w=300', title: 'Daisy Flower Crown', source: 'flowercrowns.com', price: '$22.99', rating: 4.7, reviews: 187 }
+                        { url: 'https://images.unsplash.com/photo-1524805444758-089113d48a6d?w=300', title: 'Luxury Chronograph Watch', source: 'timepieces.com', price: '$499.99', rating: 4.7, reviews: 287 },
+                        { url: 'https://images.unsplash.com/photo-1523170335258-f5ed1181a481?w=300', title: 'Smart Watch with Fitness Tracker', source: 'smartgadgets.com', price: '$199.99', rating: 4.5, reviews: 432 },
+                        { url: 'https://images.unsplash.com/photo-1557531365-e8b3c5c870a7?w=300', title: 'Classic Analog Watch', source: 'classictime.com', price: '$149.99', rating: 4.8, reviews: 156 },
+                        { url: 'https://images.unsplash.com/photo-1542496658-e33a6d0d50b6?w=300', title: 'Diving Watch Waterproof', source: 'divegear.com', price: '$299.99', rating: 4.6, reviews: 187 },
+                        { url: 'https://images.unsplash.com/photo-1557531365-e8b3c5c870a7?w=300', title: 'Minimalist Watch - Silver', source: 'minimaldesign.com', price: '$129.99', rating: 4.4, reviews: 92 },
+                        { url: 'https://images.unsplash.com/photo-1542496658-e33a6d0d50b6?w=300', title: 'Sports Watch with GPS', source: 'sportstech.com', price: '$249.99', rating: 4.3, reviews: 215 },
+                        { url: 'https://images.unsplash.com/photo-1557531365-e8b3c5c870a7?w=300', title: 'Gold Plated Dress Watch', source: 'luxurytime.com', price: '$399.99', rating: 4.7, reviews: 176 },
+                        { url: 'https://images.unsplash.com/photo-1542496658-e33a6d0d50b6?w=300', title: 'Digital Watch with Alarm', source: 'basictime.com', price: '$49.99', rating: 4.1, reviews: 128 }
                     ];
-                } else if (sampleText.includes('Clothing')) {
+                } else if (currentMediaCategory === 'clothing') {
                     return [
                         { url: 'https://images.unsplash.com/photo-1489987707025-afc232f7ea0f?w=300', title: 'Denim Jacket - Blue', source: 'denimwear.com', price: '$59.99', rating: 4.6, reviews: 342 },
                         { url: 'https://images.unsplash.com/photo-1529374255404-311a2a4f1fd9?w=300', title: 'Casual T-Shirt - White', source: 'basicshirts.com', price: '$19.99', rating: 4.3, reviews: 215 },

prompts.txt

@@ -3,4 +3,5 @@ circle is not there
 This functionality can be achieved using a combination of image/video processing libraries (like OpenCV) and a search engine API (like Google Images or Google Lens). The user would interact with an application that allows them to draw a circle on an image or video frame, and then the application would: 1. Extract the region within the circle: Use image processing techniques to isolate the region of the image or video frame defined by the circle.  2. Process the image/video: Potentially use techniques like object detection, image recognition, or feature extraction to create a representation of the region within the circle.  3. Make a search query: Use a search engine API to search for similar results based on the processed region. 4. Display the search results: The application would then display the search results to the user, potentially within the same application or by navigating to the search engine's website.  Here's a breakdown of how the application could work: 1. Drawing and Region Extraction:  The application would use a UI library (like Flutter, React, or a native UI library) to display the image or video frame. A drawing tool would allow the user to draw a circle on the image or video frame. The application would then use image processing libraries like OpenCV (in Python, Java, or C++) to extract the region within the circle. This involves determining the circle's center and radius and cropping or masking the image to isolate that area. 2. Processing the Image/Video:  Object Detection/Recognition: If the goal is to find similar objects, you'd use an object detection model (like TensorFlow or PyTorch with a pre-trained model) to identify the objects within the extracted region. Feature Extraction: If the goal is to find visually similar images, you'd use techniques like feature extraction (e.g., using a CNN) to create a vector representation of the region. 3. Search Query:  The application would use a search engine API (like Google Image Search API, or Google Lens API) to search for similar results. Based on the processed region, the API would be queried with a description (e.g., "objects detected" or "image features"). 4. Displaying Results:  The search results would be displayed within the application, or the user would be navigated to the search engine's website to see the results.
 here the circle is not showing and i dont how to draw to search in google
 circle is there but gooogle api is not there to run here. make 
-flower sample is wrongly like food appearing. cloths sample are not showing. change these things, its not predicting correctly or not detecting so see and make correctly
+flower sample is wrongly like food appearing. cloths sample are not showing. change these things, its not predicting correctly or not detecting so see and make correctly
+properly its not working so can you please i am giving a watch upload but its showing food related.