import requests import random import gradio as gr import time max_results = 200 # Cache to store details cache = {} # List of possible templates component_templates = [ "All templates", "SimpleDropdown", "SimpleTextbox", "SimpleImage", "Audio", "BarPlot", "Button", "Chatbot", "ClearButton", "Checkbox", "CheckboxGroup", "Code", "ColorPicker", "DataFrame", "DownloadButton", "DuplicateButton", "Gallery", "HTML", "FileExplorer", "Image", "JSON", "Label", "LinePlot", "LoginButton", "LogoutButton", "Markdown", "Textbox", "DateTime", "Dropdown", "Model3D", "File", "HighlightedText", "AnnotatedImage", "CheckboxGroup", "Number", "Plot", "Radio", "ScatterPlot", "Slider", "Timer", "UploadButton", "Video", "ImageEditor", "ParamViewer", "MultimodalTextbox", "NativePlot", "Accordion", "Column", "Row", "Group", "Tabs", "Tab", "TabItem" ] # List of possible sort options sort_by_options = [ "Most likes", "Recently created", "Recently updated" ] # List of possible background colors background_colors = [ 'var(--color-blue-300)', 'var(--color-red-300)', 'var(--color-yellow-200)', 'var(--color-green-200)', 'var(--color-orange-200)' ] def fetch_space_details(subdomain): """ Function to fetch details for a specific component using its subdomain. Uses cache to avoid redundant API requests. """ if subdomain in cache: return cache[subdomain] # Return cached data try: api_url = f"https://huggingface.co/api/spaces/by-subdomain/{subdomain}" response = requests.get(api_url) if response.status_code == 200: data = response.json() cache[subdomain] = data # Cache the result return data else: return None except Exception as e: raise gr.Error(f"Error fetching details for {subdomain}: {e}") return None def fetch_results(search_query, sort_query, template_query): """ Function to fetch results from API based on search term """ try: api_url = f"https://gradio-custom-component-gallery-backend.hf.space/components?name_or_tags={search_query}" response = requests.get(api_url) results = response.json() num_results = len(results) if num_results < 1: raise gr.Error("No results found") else: print(f"Received {num_results} results") # Fetch detailed data for each component with caching detailed_results = [] for component in results[:max_results]: subdomain = component.get('subdomain', '') details = fetch_space_details(subdomain) if details: component['createdAt'] = details.get('createdAt', 'N/A') component['lastModified'] = details.get('lastModified', 'N/A') detailed_results.append(component) # Sort results based on the selected sort option if sort_query == "Recently created": detailed_results.sort(key=lambda x: x.get('createdAt', ''), reverse=True) elif sort_query == "Recently updated": detailed_results.sort(key=lambda x: x.get('lastModified', ''), reverse=True) elif sort_query == "Most likes": detailed_results.sort(key=lambda x: x.get('likes', 0), reverse=True) updates = [] # Loop through the results returned from the API for index, component in enumerate(detailed_results): id = component.get('id', 'N/A') name = component.get('name', 'N/A') author = component.get('author', 'N/A') tags = component.get('tags', '') version = component.get('version', 'N/A') template = component.get('template', '') description = component.get('description', 'No description available') subdomain = component.get('subdomain', '') likes = component.get('likes', 0) created_at = component.get('createdAt', 'N/A') last_modified = component.get('lastModified', 'N/A') # Select a random background color for this component background_color = random.choice(background_colors) # Create the HTML html = f'''
{name}
{description}
@{author}
♡
{likes}
 ''' # Update the results with fetched data result_row_update = gr.update( visible=( True if template_query == component_templates[0] else True if template_query == template else False ) ) result_update = gr.update( value=html, visible=( True if template_query == component_templates[0] else True if template_query == template else False ) ) # Collect the updates for each result updates.extend([result_row_update, result_update]) # Hide the remaining rows (if there are fewer results than max_results) for i in range(len(detailed_results), max_results): updates.extend([ gr.update(visible=False), # result_row gr.update(visible=False), # result ]) # Ensure the results area is visible results_area_update = gr.update(visible=True) updates.append(results_area_update) hide_spinner = gr.update(visible=False) return updates except Exception as e: raise gr.Error(f"{e}") # Gradio setup with gr.Blocks( css=""" a {text-decoration-line: none !important;} .form {border: none !important;} .search-row {display: flex; align-items: center !important; gap: 0 !important; margin: 24px 0px 0px 0px;} .result-row {min-width: 292px !important; max-width: 200px !important;} .result-column {min-width: 292px !important; max-width: 200px !important;} .search-input {background: var(--background-fill-secondary) !important;} .sort-input {background: var(--background-fill-secondary) !important;} .template-input {background: var(--background-fill-secondary) !important;} .result {overflow: hidden !important;} """ ) as demo: result_rows = [] results = [] with gr.Column(): with gr.Row(elem_classes="panel-row", variant="panel"): with gr.Column(elem_classes="search-column"): with gr.Row(elem_classes="search-row"): search_input = gr.Textbox(placeholder="Search", elem_classes="search-input", show_label=False, max_lines=1, scale=1) search_button = gr.Button("Search", scale=0) with gr.Column(elem_classes="filter-column"): with gr.Row(elem_classes="filter-row"): sort_input = gr.Dropdown(label="Sort by", value=sort_by_options[0], choices=sort_by_options, elem_classes="sort-input", interactive=True) template_input = gr.Dropdown(label="Template", value=component_templates[0], choices=component_templates, elem_classes="template-input", interactive=True) with gr.Row(elem_classes="results") as results_area: for i in range(max_results): with gr.Row(visible=False, elem_classes="result-row") as result_row: with gr.Column(elem_classes="result-column"): result = gr.HTML("", elem_classes="result") result_rows.append(result_row) results.append(result) # Prepare output array for each element outputs = [] for i in range(max_results): outputs.extend([result_rows[i], results[i]]) outputs.append(results_area) # Use gr.on to trigger the fetch_results function on multiple events gr.on( triggers=[search_input.submit, search_button.click, sort_input.change, template_input.change, demo.load], fn=fetch_results, inputs=[search_input, sort_input, template_input], outputs=outputs ) demo.launch()