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<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Hub Semantic Search</title>
    <script src="https://cdn.tailwindcss.com"></script>
    <script src="https://unpkg.com/lucide@latest"></script>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]/lodash.min.js"></script>
  </head>
  <body>
    <div class="w-full max-w-4xl mx-auto p-4 space-y-8">
      <h1 class="text-3xl font-bold text-gray-800">Hub Semantic Search</h1>

      <div
        class="bg-gradient-to-br from-blue-50 to-indigo-50 p-8 rounded-xl shadow-sm border border-blue-100 mb-8"
      >
        <h2
          class="text-xl font-semibold mb-4 text-gray-800 flex items-center gap-2"
        >
          <i data-lucide="search" class="text-blue-500"></i>
          Welcome to Hub Semantic Search
        </h2>
        <p class="text-gray-700 mb-4">
          Find and explore the 🤗 Hub using via semantic search on LLM generated
          summaries!
        </p>

        <div class="bg-blue-100 text-blue-800 px-4 py-2 rounded-md mb-4">
          <p class="flex items-center gap-2">
            <i data-lucide="info"></i> Currently supporting dataset search only.
            Model search coming soon!
          </p>
        </div>

        <button
          onclick="toggleAccordion()"
          id="accordionButton"
          class="text-blue-500 hover:text-blue-700 flex items-center gap-2 mb-4"
        >
          <i
            data-lucide="chevron-right"
            id="accordionIcon"
            class="transition-transform"
          ></i>
          <span>How it works</span>
        </button>

        <div id="accordionContent" class="hidden">
          <ul class="list-disc list-inside space-y-2 text-gray-600 ml-4">
            <li>
              <strong>AI-Generated Summaries:</strong> Each dataset is indexed
              using a concise, one-sentence summary generated by a large
              language model trained on thousands of Hugging Face dataset cards
            </li>
            <li>
              <strong>Semantic Search:</strong> Enter keywords or descriptions
              to find semantically similar resources based on these AI-generated
              summaries
            </li>
            <li>
              <strong>Find Similar:</strong> Enter a dataset ID (e.g.,
              "airtrain-ai/fineweb-edu-fortified") to discover related resources
              using semantic matching
            </li>
          </ul>
        </div>
      </div>

      <div class="tabs w-full">
        <div class="tab-list flex gap-2 border-b mb-6">
          <button
            onclick="switchTab('search')"
            id="searchTab"
            class="tab-trigger active px-6 py-3 flex items-center gap-2 border-b-2 border-transparent hover:bg-gray-50 transition-colors"
          >
            <i data-lucide="search"></i> Search
          </button>
          <button
            onclick="switchTab('similar')"
            id="similarTab"
            class="tab-trigger px-6 py-3 flex items-center gap-2 border-b-2 border-transparent hover:bg-gray-50 transition-colors"
          >
            <i data-lucide="arrow-right"></i> Find Similar
          </button>
        </div>

        <div id="searchContent" class="tab-content space-y-4">
          <div
            class="card bg-white p-8 rounded-xl shadow-sm border border-gray-100"
          >
            <p class="text-gray-600 mb-4">
              Enter keywords to search through dataset descriptions. The search
              will automatically update as you type.
            </p>
            <div class="relative">
              <input
                type="text"
                id="searchInput"
                placeholder="Type to search (minimum 3 characters)..."
                class="w-full p-3 border rounded-lg pr-10 focus:ring-2 focus:ring-blue-100 focus:border-blue-300 transition-all outline-none"
              />
              <div id="searchLoader" class="hidden absolute right-3 top-2">
                <i data-lucide="loader-2" class="animate-spin"></i>
              </div>
            </div>
          </div>
        </div>

        <div id="similarContent" class="hidden tab-content space-y-4">
          <div
            class="card bg-white p-8 rounded-xl shadow-sm border border-gray-100"
          >
            <p class="text-gray-600 mb-4">
              Enter a dataset ID to find similar datasets. Popular datasets will
              appear as you type.
            </p>
            <div class="flex gap-3">
              <div class="relative w-full">
                <input
                  type="text"
                  id="datasetInput"
                  class="w-full p-3 border border-gray-200 rounded-lg"
                  placeholder="e.g. openai/gsm8k"
                />
                <div
                  id="suggestionsBox"
                  class="hidden absolute w-full mt-1 bg-white border border-gray-200 rounded-lg shadow-lg z-10 max-h-60 overflow-y-auto"
                ></div>
              </div>
              <button onclick="findSimilarDatasets()" class="btn-primary">
                Find Similar
              </button>
            </div>
          </div>
        </div>

        <div
          id="errorMessage"
          class="hidden mt-4 p-4 text-red-600 bg-red-50 rounded-md"
        ></div>

        <div id="resultsContainer" class="mt-6 space-y-4"></div>
      </div>
    </div>

    <style>
      .tab-trigger.active {
        border-bottom-color: #3b82f6;
        color: #3b82f6;
      }
    </style>

    <script>
      // Configuration
      const API_URL =
        "https://davanstrien-huggingface-datasets-search-v2.hf.space";
      const MIN_SEARCH_LENGTH = 3;
      const DEBOUNCE_MS = 300;
      const RESULTS_PER_PAGE = 5;
      const MAX_RESULTS = 100;
      let currentPage = 1;

      // Initialize Lucide icons
      lucide.createIcons();

      // Tab switching
      function switchTab(tabId) {
        currentPage = 1;
        document
          .querySelectorAll(".tab-content")
          .forEach((content) => content.classList.add("hidden"));
        document
          .querySelectorAll(".tab-trigger")
          .forEach((trigger) => trigger.classList.remove("active"));

        document.getElementById(`${tabId}Content`).classList.remove("hidden");
        document.getElementById(`${tabId}Tab`).classList.add("active");
      }

      // Create result card
      function createResultCard(result) {
        const cardHtml = `
            <div class="card bg-white p-6 rounded-lg shadow hover:shadow-md transition-shadow">
                <div class="flex items-start justify-between">
                    <div class="space-y-2 w-full">
                        <div class="flex items-center justify-between">
                            <div class="flex items-center gap-2">
                                <i data-lucide="database" class="text-blue-500"></i>
                                <h3 class="text-lg font-semibold">${
                                  result.dataset_id
                                }</h3>
                            </div>
                            <div class="flex items-center gap-2">
                                <div class="flex items-center gap-4 text-sm text-gray-500 mr-4">
                                    <span class="flex items-center gap-1">
                                        <i data-lucide="heart" class="w-4 h-4"></i>
                                        ${result.likes}
                                    </span>
                                    <span class="flex items-center gap-1">
                                        <i data-lucide="download" class="w-4 h-4"></i>
                                        ${result.downloads}
                                    </span>
                                </div>
                                <span class="bg-blue-50 px-2 py-1 rounded text-sm">
                                    ${(result.similarity * 100).toFixed(
                                      1
                                    )}% match
                                </span>
                                <button 
                                    onclick="findSimilarFromResult('${
                                      result.dataset_id
                                    }')"
                                    class="flex items-center gap-1 text-sm text-blue-500 hover:text-blue-700"
                                >
                                    <i data-lucide="arrow-right"></i>
                                    Find Similar
                                </button>
                            </div>
                        </div>
                        <p class="text-sm text-gray-600">${result.summary}</p>
                        
                        <!-- Add preview section that starts hidden -->
                        <div id="preview-section-${
                          result.dataset_id
                        }" class="mt-4 border-t pt-4 hidden">
                            <button
                                onclick="togglePreview('${result.dataset_id}')"
                                class="flex items-center gap-2 text-sm text-gray-600 hover:text-gray-800"
                            >
                                <i data-lucide="chevron-right" id="preview-icon-${
                                  result.dataset_id
                                }" class="transition-transform"></i>
                                Preview Dataset
                            </button>
                            <div id="preview-content-${
                              result.dataset_id
                            }" class="hidden mt-4">
                                <iframe
                                    src="https://huggingface.co/datasets/${
                                      result.dataset_id
                                    }/embed/viewer/default/train"
                                    frameborder="0"
                                    width="100%"
                                    height="560px"
                                ></iframe>
                            </div>
                        </div>

                        <a href="https://huggingface.co/datasets/${
                          result.dataset_id
                        }" 
                           target="_blank"
                           class="inline-flex items-center gap-1 text-sm text-blue-500 hover:text-blue-700 mt-2">
                            <i data-lucide="external-link" class="w-4 h-4"></i>
                            View on Hugging Face Hub
                        </a>
                    </div>
                </div>
            </div>
        `;

        // After rendering the card, check if preview is available
        checkDatasetValidity(result.dataset_id);

        return cardHtml;
      }

      // Add function to check dataset validity
      async function checkDatasetValidity(datasetId) {
        try {
          const response = await fetch(
            `https://datasets-server.huggingface.co/is-valid?dataset=${datasetId}`
          );
          const data = await response.json();

          // Show preview section only if viewer is available
          if (data.viewer) {
            const previewSection = document.getElementById(
              `preview-section-${datasetId}`
            );
            if (previewSection) {
              previewSection.classList.remove("hidden");
            }
          }
        } catch (error) {
          console.error(
            `Failed to check validity for dataset ${datasetId}:`,
            error
          );
        }
      }

      // Search datasets
      const searchDatasets = _.debounce(async (query, page = 1) => {
        if (query.length < MIN_SEARCH_LENGTH) {
          document.getElementById("resultsContainer").innerHTML = "";
          return;
        }

        document.getElementById("searchLoader").classList.remove("hidden");
        document.getElementById("errorMessage").classList.add("hidden");

        try {
          const response = await fetch(
            `${API_URL}/search/datasets?query=${encodeURIComponent(query)}&k=${
              RESULTS_PER_PAGE * page
            }`
          );
          if (!response.ok) throw new Error("Search failed");

          const data = await response.json();
          console.log("Search results:", data);
          displayResults(data.results, page);
        } catch (error) {
          console.error("Search error:", error);
          showError("Failed to perform search. Please try again.");
        } finally {
          document.getElementById("searchLoader").classList.add("hidden");
        }
      }, DEBOUNCE_MS);

      // Cache for trending datasets
      let trendingDatasetsCache = null;
      let cacheTimestamp = null;
      const CACHE_DURATION = 1000 * 60 * 15; // 15 minutes

      async function fetchTrendingDatasets() {
        if (
          trendingDatasetsCache &&
          cacheTimestamp &&
          Date.now() - cacheTimestamp < CACHE_DURATION
        ) {
          return trendingDatasetsCache;
        }

        try {
          const response = await fetch("https://huggingface.co/api/datasets");
          const data = await response.json();

          // Just take the first 20 dataset IDs since they're already sorted
          const trendingDatasets = data
            .slice(0, 20)
            .map((dataset) => dataset.id);

          trendingDatasetsCache = trendingDatasets;
          cacheTimestamp = Date.now();
          return trendingDatasets;
        } catch (error) {
          console.error("Error fetching trending datasets:", error);
          return [];
        }
      }

      function displaySuggestions(datasets, suggestionsBox) {
        if (datasets.length > 0) {
          suggestionsBox.innerHTML = datasets
            .map(
              (datasetId) => `
            <div 
              class="p-3 hover:bg-gray-50 cursor-pointer border-b last:border-b-0"
              onclick="selectSuggestion('${datasetId}')"
            >
              <div class="flex items-center gap-2">
                <i data-lucide="database" class="w-4 h-4 text-blue-500"></i>
                <span>${datasetId}</span>
              </div>
            </div>
          `
            )
            .join("");
          suggestionsBox.classList.remove("hidden");
          lucide.createIcons();
        } else {
          suggestionsBox.classList.add("hidden");
        }
      }

      function selectSuggestion(dataset) {
        const datasetInput = document.getElementById("datasetInput");
        const suggestionsBox = document.getElementById("suggestionsBox");

        datasetInput.value = dataset;
        suggestionsBox.classList.add("hidden");
        findSimilarDatasets();
      }

      // Find similar datasets
      async function findSimilarDatasets(page = 1) {
        const datasetId = document.getElementById("datasetInput").value;
        if (!datasetId) return;

        const similarLoader = document.getElementById("similarLoader");
        if (similarLoader) {
          similarLoader.classList.remove("hidden");
        }
        document.getElementById("errorMessage").classList.add("hidden");

        try {
          const response = await fetch(
            `${API_URL}/similarity/datasets?dataset_id=${encodeURIComponent(
              datasetId
            )}&k=${RESULTS_PER_PAGE * page}`
          );
          if (!response.ok) throw new Error("Similarity search failed");

          const data = await response.json();
          displayResults(data.results, page);
        } catch (error) {
          showError("Failed to find similar datasets. Please try again.");
        } finally {
          if (similarLoader) {
            similarLoader.classList.add("hidden");
          }
        }
      }

      // Display results
      function displayResults(results, page = 1) {
        const container = document.getElementById("resultsContainer");
        console.log("Displaying results:", results);
        if (results && results.length > 0) {
          container.innerHTML = `
            <div class="flex justify-between items-center">
              <h2 class="text-lg font-semibold">Results</h2>
              <span class="text-sm text-gray-500">Found ${
                results.length
              } results</span>
            </div>
            ${results.map((result) => createResultCard(result)).join("")}
            ${
              results.length >= RESULTS_PER_PAGE * page &&
              RESULTS_PER_PAGE * (page + 1) <= MAX_RESULTS
                ? `<button
                    onclick="loadMore()"
                    class="w-full mt-4 px-6 py-3 bg-gray-100 hover:bg-gray-200 text-gray-700 rounded-lg transition-colors flex items-center gap-2 justify-center"
                  >
                    <i data-lucide="more-horizontal"></i>
                    Load More Results
                  </button>`
                : results.length >= MAX_RESULTS
                ? `<div class="text-center mt-4 p-6 bg-blue-50 rounded-lg">
                      <p class="text-gray-700 mb-3">�� You've reached the end of our dataset journey! (${MAX_RESULTS} results)</p>
                      <p class="text-gray-600 mb-4">Can't find what you're looking for? Why not create and share your own dataset?</p>
                      <a href="https://huggingface.co/docs/datasets/upload_dataset" 
                         target="_blank" 
                         class="inline-flex items-center gap-2 text-blue-500 hover:text-blue-700">
                        <i data-lucide="external-link"></i>
                        Learn how to share your dataset on Hugging Face
                      </a>
                    </div>`
                : ""
            }
          `;
          lucide.createIcons();
        } else {
          container.innerHTML = `
            <div class="text-center text-gray-500">
              No results found
            </div>
          `;
        }
      }

      // Show error message
      function showError(message) {
        const errorElement = document.getElementById("errorMessage");
        errorElement.textContent = message;
        errorElement.classList.remove("hidden");
      }

      // Event listeners
      document
        .getElementById("searchInput")
        .addEventListener("input", (e) => searchDatasets(e.target.value));
      document
        .getElementById("datasetInput")
        .addEventListener("keydown", (e) => {
          if (e.key === "Enter") findSimilarDatasets();
        });

      // Add new function to handle finding similar datasets from results
      function findSimilarFromResult(datasetId) {
        // Switch to the similar tab
        switchTab("similar");

        // Set the dataset ID in the input
        const datasetInput = document.getElementById("datasetInput");
        datasetInput.value = datasetId;

        // Trigger the search
        findSimilarDatasets();
      }

      // Add accordion functionality
      function toggleAccordion() {
        const content = document.getElementById("accordionContent");
        const icon = document.getElementById("accordionIcon");

        content.classList.toggle("hidden");
        icon.style.transform = content.classList.contains("hidden")
          ? "rotate(0deg)"
          : "rotate(90deg)";
      }

      // Add the loadMore function
      function loadMore() {
        currentPage += 1;
        const activeTab = document.querySelector(".tab-trigger.active").id;

        if (activeTab === "searchTab") {
          const searchQuery = document.getElementById("searchInput").value;
          searchDatasets(searchQuery, currentPage);
        } else {
          findSimilarDatasets(currentPage);
        }
      }

      // Add this new function for toggling the preview
      function togglePreview(datasetId) {
        const content = document.getElementById(`preview-content-${datasetId}`);
        const icon = document.getElementById(`preview-icon-${datasetId}`);

        content.classList.toggle("hidden");
        icon.style.transform = content.classList.contains("hidden")
          ? "rotate(0deg)"
          : "rotate(90deg)";
      }

      // Update the event listeners section
      document.addEventListener("DOMContentLoaded", () => {
        // ... existing event listeners ...

        const datasetInput = document.getElementById("datasetInput");

        // Add input event listener for suggestions
        datasetInput.addEventListener("input", async (e) => {
          const suggestionsBox = document.getElementById("suggestionsBox");
          const value = e.target.value;

          if (!value) {
            // Show trending datasets when input is empty
            const trending = await fetchTrendingDatasets();
            displaySuggestions(trending, suggestionsBox);
          } else {
            // Filter trending datasets based on input
            const trending = await fetchTrendingDatasets();
            const filtered = trending.filter((dataset) =>
              dataset.toLowerCase().includes(value.toLowerCase())
            );
            displaySuggestions(filtered, suggestionsBox);
          }
        });

        // Show trending datasets on focus
        datasetInput.addEventListener("focus", async () => {
          const suggestionsBox = document.getElementById("suggestionsBox");
          const trending = await fetchTrendingDatasets();
          displaySuggestions(trending, suggestionsBox);
        });
      });
    </script>
  </body>
</html>