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src/README.md

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----
-title: Science Hierarchography
-emoji: 📚
-colorFrom: blue
-colorTo: indigo
-sdk: streamlit
-sdk_version: "1.41.1"
-app_file: app.py
-pinned: false
----
-
-# Paper Clusters Explorer
-
-This Streamlit application visualizes research paper hierarchies, allowing exploration of clustered academic papers at different levels. Users can navigate through a hierarchical structure of paper clusters, view detailed paper information, and explore relationships between papers.
-
-## Features
-
-- Browse hierarchical clusters of research papers
-- View detailed paper information including abstracts, citations, and metadata
-- Navigate through multiple clustering levels
-- Inspect citation statistics for papers and clusters
-- Interactive UI with expandable sections for paper details
-
-## Usage
-
-1. Select a hierarchy from the dropdown menu
-2. Navigate through clusters by clicking on them
-3. Expand paper details to view abstracts, problem statements, solutions, and results
-4. Use the breadcrumb navigation to move up the hierarchy
-
-## Data Structure
-
-This app expects hierarchy data in JSON format stored in the `hierarchies/` directory.
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

src/app.py

@@ -1,1301 +0,0 @@
-import streamlit as st
-import pandas as pd
-import numpy as np
-import os
-import json
-import gzip
-import re
-from urllib.parse import quote, unquote
-
-# Updated CSS styles to use default background
-CUSTOM_CSS = """
-<style>
-    /* Set default background color */
-    body {
-        background-color: white !important;
-    }
-    
-    .stApp {
-        background-color: white !important;
-    }
-    
-    h1 {
-        color: #2E4053;
-        font-family: 'Helvetica Neue', sans-serif;
-        font-size: 2.8rem !important;
-        border-bottom: 3px solid #3498DB;
-        padding-bottom: 0.3em;
-    }
-    
-    h2, h3, h4 {
-        color: #2C3E50 !important;
-        font-family: 'Arial Rounded MT Bold', sans-serif;
-    }
-    
-    .metric-card {
-        background: linear-gradient(145deg, #F8F9FA 0%, #FFFFFF 100%);
-        border-radius: 12px;
-        padding: 1.2rem;
-        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);
-        border: 1px solid #E0E7FF;
-        transition: transform 0.2s;
-    }
-    
-    .metric-card:hover {
-        transform: translateY(-2px);
-    }
-
-    .citation-badge:hover::after, 
-    .influential-badge:hover::after {
-        content: attr(title);
-        position: absolute;
-        bottom: calc(100% + 5px);
-        left: 50%;
-        transform: translateX(-50%);
-        background-color: rgba(0, 0, 0, 0.8);
-        color: #fff;
-        padding: 5px 10px;
-        border-radius: 4px;
-        white-space: nowrap;
-        z-index: 100;
-        opacity: 0;
-        pointer-events: none;
-        transition: opacity 0.3s ease;
-    }
-
-    .citation-badge:hover::after, 
-    .influential-badge:hover::after {
-        opacity: 1;
-    }
-    
-    .path-nav {
-        color: #6C757D;
-        font-size: 0.95rem;
-        padding: 0.8rem 1rem;
-        background: #F8F9FA;
-        border-radius: 8px;
-        margin: 0.5rem 0; /* 减少上下margin */
-    }
-    
-    .stButton>button {
-        background: #3498DB !important;
-        color: white !important;
-        border-radius: 8px !important;
-        padding: 8px 20px !important;
-        border: none !important;
-        transition: all 0.3s !important;
-    }
-    
-    .stButton>button:hover {
-        background: #2980B9 !important;
-        transform: scale(1.05);
-        box-shadow: 0 4px 8px rgba(52, 152, 219, 0.3);
-    }
-    
-    .paper-card, .cluster-card {
-        background: white;
-        border-radius: 10px;
-        padding: 1.5rem;
-        margin: 1rem 0;
-        box-shadow: 0 2px 8px rgba(0, 0, 0, 0.06);
-        border: 1px solid #EAEDF3;
-        overflow: hidden;
-    }
-    
-    /* 调整标题的字号 - 增大cluster title */
-    .paper-title, .cluster-title {
-        color: #2C3E50;
-        font-size: 1.3rem !important; /* 增大原来的字号 */
-        font-weight: 700; /* 加粗 */
-        margin-bottom: 0.5rem;
-        cursor: pointer;
-    }
-    
-    .paper-abstract, .cluster-abstract {
-        color: #6C757D;
-        line-height: 1.6;
-        font-size: 0.95rem;
-        margin: 1rem 0;
-        padding: 0.8rem;
-        background: #F9FAFB;
-        border-radius: 8px;
-        border-left: 4px solid #3498DB;
-    }
-    
-    /* 减少expander之间的间距 */
-    .streamlit-expanderHeader {
-        font-weight: 600 !important;
-        color: #2C3E50 !important;
-        margin-top: 0.5rem !important;
-        margin-bottom: 0.5rem !important;
-    }
-    
-    /* 调整expander的内部和外部间距 */
-    .streamlit-expander {
-        margin-top: 0.5rem !important;
-        margin-bottom: 0.5rem !important;
-    }
-    
-    /* 更紧凑的expander内容区 */
-    .streamlit-expanderContent {
-        background: #FAFAFA;
-        border-radius: 0 0 8px 8px;
-        border: 1px solid #EAEDF3;
-        border-top: none;
-        padding: 8px 12px !important; /* 减少内部padding */
-    }
-    
-    /* Additional styles */
-    .paper-section, .cluster-section {
-        margin-top: 20px;
-        padding: 15px;
-        border-radius: 8px;
-        background: #FAFAFA;
-        border-left: 4px solid #3498DB;
-    }
-    
-    .paper-section-title, .cluster-section-title {
-        color: #2C3E50;
-        font-weight: 600;
-        margin-bottom: 10px;
-        border-bottom: 2px solid #EEE;
-        padding-bottom: 5px;
-    }
-    
-    .section-problem {
-        border-left-color: #3498DB;
-    }
-    
-    .section-solution {
-        border-left-color: #2ECC71;
-    }
-    
-    .section-results {
-        border-left-color: #9B59B6;
-    }
-    
-    .label {
-        font-weight: 600;
-        color: #34495E;
-        margin-bottom: 5px;
-    }
-    
-    .value-box {
-        background: #F8F9FA;
-        padding: 10px;
-        border-radius: 5px;
-        margin-bottom: 10px;
-        font-size: 0.95rem;
-        color: #333;
-        line-height: 1.5;
-    }
-    
-    /* Citation badge styles */
-    .citation-badge, .influential-badge {
-        display: inline-flex;
-        align-items: center;
-        padding: 4px 8px;
-        border-radius: 6px;
-        font-size: 0.85rem;
-        font-weight: 600;
-        gap: 4px;
-        white-space: nowrap;
-    }
-    
-    .citation-badge {
-        background: #EBF5FB;
-        color: #2980B9;
-    }
-    
-    .influential-badge {
-        background: #FCF3CF;
-        color: #F39C12;
-    }
-    
-    .citation-icon, .influential-icon {
-        font-size: 1rem;
-    }
-    
-    /* 修改后的引用统计格式 */
-    .citation-stats, .influential-stats {
-        display: flex;
-        align-items: center;
-        padding: 4px 12px;
-        border-radius: 6px;
-        font-size: 0.85rem;
-        margin-bottom: 6px;
-        white-space: nowrap;
-    }
-    
-    .citation-stats {
-        background: #EBF5FB;
-        color: #2980B9;
-    }
-    
-    .influential-stats {
-        background: #FCF3CF;
-        color: #F39C12;
-    }
-    
-    .stats-divider {
-        margin: 0 6px;
-        color: rgba(0,0,0,0.2);
-    }
-    
-    /* Field of study badge */
-    .field-badge {
-        display: inline-block;
-        background: #F1F8E9;
-        color: #558B2F;
-        padding: 3px 10px;
-        border-radius: 16px;
-        font-size: 0.75rem;
-        font-weight: 500;
-        border: 1px solid #C5E1A5;
-    }
-    
-    /* JSON value display */
-    .json-value {
-        background: #F8F9FA;
-        padding: 10px;
-        border-radius: 6px;
-        margin-bottom: 10px;
-        white-space: pre-wrap;
-        font-family: monospace;
-        font-size: 0.9rem;
-        line-height: 1.5;
-        color: #2C3E50;
-        overflow-x: auto;
-    }
-    
-    /* Collapsible content */
-    .cluster-content {
-        display: none;
-    }
-    
-    .cluster-content.show {
-        display: block;
-    }
-    
-    /* 重新设计集群标题区布局 */
-    .cluster-header {
-        display: flex;
-        flex-wrap: wrap;
-        justify-content: space-between;
-        align-items: center;
-        padding-bottom: 10px;
-        border-bottom: 1px solid #eee;
-        margin-bottom: 0px;
-    }
-    
-    /* 左侧标题和集群信息 */
-    .cluster-header-left {
-        display: flex;
-        align-items: center;
-        flex: 1;
-        min-width: 200px;
-    }
-    
-    /* 中间区域用于摘要展开器 */
-    .cluster-header-middle {
-        display: flex;
-        flex: 0 0 auto;
-        margin: 0 15px;
-    }
-    
-    /* 右侧统计数据 */
-    .cluster-badge-container {
-        display: flex;
-        flex-wrap: wrap;
-        gap: 6px;
-        justify-content: flex-end;
-    }
-    
-    /* 子集群查看按钮 */
-    .view-button {
-        margin-left: 15px;
-    }
-    
-    /* 调整h3标题的上下margin */
-    h3 {
-        margin-top: 1rem !important;
-        margin-bottom: 0.5rem !important;
-    }
-    
-    /* 调整内容区块的上下margin */
-    .stBlock {
-        margin-top: 0.5rem !important;
-        margin-bottom: 0.5rem !important;
-    }
-    
-    /* 内联expander按钮样式 */
-    .inline-expander-button {
-        background: #E3F2FD;
-        border: 1px solid #BBDEFB;
-        border-radius: 4px;
-        padding: 4px 8px;
-        font-size: 0.85rem;
-        color: #1976D2;
-        cursor: pointer;
-        display: inline-flex;
-        align-items: center;
-        transition: all 0.2s;
-    }
-    
-    .inline-expander-button:hover {
-        background: #BBDEFB;
-    }
-    
-    /* 导航路径中的按钮样式 */
-    .path-nav-button {
-        display: inline-block;
-        margin: 0 5px;
-        padding: 5px 10px;
-        background: #E3F2FD;
-        border-radius: 5px;
-        color: #1976D2;
-        cursor: pointer;
-        font-weight: 500;
-        font-size: 0.9rem;
-        border: none;
-        transition: all 0.2s;
-    }
-    
-    .path-nav-button:hover {
-        background: #BBDEFB;
-    }
-    
-    /* 路径导航容器样式 */
-    .path-nav {
-        color: #6C757D;
-        font-size: 0.95rem;
-        padding: 0.8rem 1rem;
-        background: #F8F9FA;
-        border-radius: 8px;
-        margin: 0.8rem 0;
-    }
-    
-    /* Paper count badge style */
-    .paper-count-badge {
-        display: inline-flex;
-        align-items: center;
-        margin-left: 12px;
-        background: #E8F4FD;
-        color: #2980B9;
-        padding: 3px 8px;
-        border-radius: 12px;
-        font-size: 0.85rem;
-        font-weight: 500;
-    }
-</style>
-
-<script>
-function toggleClusterContent(id) {
-    const content = document.getElementById('cluster-content-' + id);
-    if (content) {
-        content.classList.toggle('show');
-    }
-}
-</script>
-"""
-
-def get_hierarchy_files():
-    hierarchy_dir = 'hierarchies'
-    if not os.path.exists(hierarchy_dir):
-        return []
-    files = [f for f in os.listdir(hierarchy_dir) if f.endswith('.json')]
-    print(f"Found files: {files}")
-    return files
-
-def parse_filename(filename):
-    """Parse hierarchy filename to extract metadata using improved patterns."""
-    filename = filename.replace('.json', '')
-    parts = filename.split('_')
-    
-    # Basic fields that should be consistent
-    if len(parts) < 6:
-        return {
-            'date': 'Unknown',
-            'embedder': 'Unknown',
-            'summarizer': 'Unknown',
-            'clustermethod': 'Unknown',
-            'contribution_type': 'Unknown',
-            'building_method': 'Unknown',
-            'clusterlevel': 'Unknown',
-            'clusterlevel_array': [],
-            'level_count': 0,
-            'random_seed': 'Unknown'
-        }
-    
-    # These are consistent across formats
-    date_str = parts[1]
-    embedder = parts[2]
-    summarizer = parts[3]
-    clustermethod = parts[4]
-    # parts[5] is typically "emb" placeholder
-    contribution_type = parts[6]
-    
-    # Special handling for building methods
-    # Check for compound building methods
-    building_method = None
-    clusterlevel_str = None
-    seed = None
-    
-    # Handle different cases for building method and what follows
-    if len(parts) > 7:
-        if parts[7] == "bidirectional":
-            building_method = "bidirectional"
-            if len(parts) > 8:
-                # The cluster level is next
-                clusterlevel_str = parts[8]
-                if len(parts) > 9:
-                    seed = parts[9]
-        elif parts[7] == "top" and len(parts) > 8 and parts[8] == "down":
-            building_method = "top_down"
-            if len(parts) > 9:
-                clusterlevel_str = parts[9]
-                if len(parts) > 10:
-                    seed = parts[10]
-        elif parts[7] == "bottom" and len(parts) > 8 and parts[8] == "up":
-            building_method = "bottom_up"
-            if len(parts) > 9:
-                clusterlevel_str = parts[9]
-                if len(parts) > 10:
-                    seed = parts[10]
-        # Default case - building method is not compound
-        else:
-            building_method = parts[7]
-            if len(parts) > 8:
-                clusterlevel_str = parts[8]
-                if len(parts) > 9:
-                    seed = parts[9]
-    
-    # Format date with slashes for better readability
-    formatted_date = f"{date_str[:4]}/{date_str[4:6]}/{date_str[6:]}" if len(date_str) == 8 else date_str
-    
-    # Process cluster levels
-    clusterlevel_array = clusterlevel_str.split('-') if clusterlevel_str else []
-    level_count = len(clusterlevel_array)
-    
-    return {
-        'date': formatted_date,
-        'embedder': embedder,
-        'summarizer': summarizer,
-        'clustermethod': clustermethod,
-        'contribution_type': contribution_type,
-        'building_method': building_method or 'Unknown',
-        'clusterlevel': clusterlevel_str or 'Unknown',
-        'clusterlevel_array': clusterlevel_array,
-        'level_count': level_count,
-        'random_seed': seed or 'Unknown'
-    }
-
-def format_hierarchy_option(filename):
-    info = parse_filename(filename)
-    levels_str = "×".join(info['clusterlevel_array'])
-    
-    return f"{info['date']} - {info['clustermethod']} ({info['embedder']}/{info['summarizer']}, {info['contribution_type']}, {info['building_method']}, {info['level_count']} levels: {levels_str}, seed: {info['random_seed']})"
-
-@st.cache_data
-def load_hierarchy_data(filename):
-    """Load hierarchy data with support for compressed files"""
-    filepath = os.path.join('hierarchies', filename)
-    
-    # 检查是否存在未压缩版本
-    if os.path.exists(filepath):
-        with open(filepath, 'r') as f:
-            return json.load(f)
-    
-    # 检查是否存在 gzip 压缩版本
-    gzip_filepath = filepath + '.gz'
-    if os.path.exists(gzip_filepath):
-        try:
-            with gzip.open(gzip_filepath, 'rt') as f:
-                return json.load(f)
-        except Exception as e:
-            st.error(f"Error loading compressed file {gzip_filepath}: {str(e)}")
-            return {"clusters": []}
-    
-    st.error(f"Could not find hierarchy file: {filepath} or {gzip_filepath}")
-    return {"clusters": []}
-
-def get_cluster_statistics(clusters):
-    """获取集群统计信息，包括悬停提示"""
-    def count_papers(node):
-        if "children" not in node:
-            return 0
-        children = node["children"]
-        if not children:
-            return 0
-        if "paper_id" in children[0]:
-            return len(children)
-        return sum(count_papers(child) for child in children)
-
-    cluster_count = len(clusters)
-    paper_counts = []
-    
-    for cluster, _ in clusters:
-        paper_count = count_papers(cluster)
-        paper_counts.append(paper_count)
-    
-    if paper_counts:
-        total_papers = sum(paper_counts)
-        average_papers = total_papers / cluster_count if cluster_count > 0 else 0
-        return {
-            'Total Clusters': {'value': cluster_count, 'tooltip': 'Total number of clusters at this level'},
-            'Total Papers': {'value': total_papers, 'tooltip': 'Total number of papers across all clusters at this level'},
-            'Average Papers per Cluster': {'value': round(average_papers, 2), 'tooltip': 'Average number of papers per cluster'},
-            'Median Papers': {'value': round(np.median(paper_counts), 2), 'tooltip': 'Median number of papers per cluster'},
-            'Standard Deviation': {'value': round(np.std(paper_counts), 2), 'tooltip': 'Standard deviation of paper counts across clusters'},
-            'Max Papers in Cluster': {'value': max(paper_counts), 'tooltip': 'Maximum number of papers in any single cluster'},
-            'Min Papers in Cluster': {'value': min(paper_counts), 'tooltip': 'Minimum number of papers in any single cluster'}
-        }
-    return {
-        'Total Clusters': {'value': cluster_count, 'tooltip': 'Total number of clusters at this level'},
-        'Total Papers': {'value': 0, 'tooltip': 'Total number of papers across all clusters at this level'},
-        'Average Papers per Cluster': {'value': 0, 'tooltip': 'Average number of papers per cluster'},
-        'Median Papers': {'value': 0, 'tooltip': 'Median number of papers per cluster'},
-        'Standard Deviation': {'value': 0, 'tooltip': 'Standard deviation of paper counts across clusters'},
-        'Max Papers in Cluster': {'value': 0, 'tooltip': 'Maximum number of papers in any single cluster'},
-        'Min Papers in Cluster': {'value': 0, 'tooltip': 'Minimum number of papers in any single cluster'}
-    }
-
-def calculate_citation_metrics(node):
-    """Calculate total, average, and maximum citation and influential citation counts for a cluster."""
-    total_citations = 0
-    total_influential_citations = 0
-    paper_count = 0
-    citation_values = []  # 存储每篇论文的引用数
-    influential_citation_values = []  # 存储每篇论文的有影响力引用数
-    
-    def process_node(n):
-        nonlocal total_citations, total_influential_citations, paper_count
-        
-        if "children" not in n or n["children"] is None:
-            return
-            
-        children = n["children"]
-        if not children:
-            return
-            
-        # If this node contains papers directly
-        if children and len(children) > 0 and isinstance(children[0], dict) and "paper_id" in children[0]:
-            for paper in children:
-                if not isinstance(paper, dict):
-                    continue
-                semantic_scholar = paper.get('semantic_scholar', {}) or {}
-                citations = semantic_scholar.get('citationCount', 0)
-                influential_citations = semantic_scholar.get('influentialCitationCount', 0)
-                
-                total_citations += citations
-                total_influential_citations += influential_citations
-                paper_count += 1
-                citation_values.append(citations)
-                influential_citation_values.append(influential_citations)
-        else:
-            # Recursively process child clusters
-            for child in children:
-                if isinstance(child, dict):
-                    process_node(child)
-    
-    process_node(node)
-    
-    # 计算平均值和最大值
-    avg_citations = round(total_citations / paper_count, 2) if paper_count > 0 else 0
-    avg_influential_citations = round(total_influential_citations / paper_count, 2) if paper_count > 0 else 0
-    max_citations = max(citation_values) if citation_values else 0
-    max_influential_citations = max(influential_citation_values) if influential_citation_values else 0
-    
-    return {
-        'total_citations': total_citations,
-        'avg_citations': avg_citations,
-        'max_citations': max_citations,
-        'total_influential_citations': total_influential_citations,
-        'avg_influential_citations': avg_influential_citations,
-        'max_influential_citations': max_influential_citations,
-        'paper_count': paper_count
-    }
-
-def find_clusters_in_path(data, path):
-    """Find clusters or papers at the given path in the hierarchy."""
-    if not data or "clusters" not in data:
-        return []
-        
-    clusters = data["clusters"]
-    current_clusters = []
-    
-    if not path:
-        return [(cluster, []) for cluster in clusters]
-    
-    current = clusters
-    for i, p in enumerate(path):
-        found = False
-        for cluster in current:
-            if cluster.get("cluster_id") == p:
-                if "children" not in cluster or not cluster["children"]:
-                    # No children found, return empty list
-                    return []
-                    
-                current = cluster["children"]
-                found = True
-                
-                if i == len(path) - 1:
-                    # We're at the target level
-                    if current and len(current) > 0 and isinstance(current[0], dict) and "paper_id" in current[0]:
-                        # This level contains papers
-                        return [(paper, path) for paper in current]
-                    else:
-                        # This level contains subclusters
-                        current_clusters = []
-                        for c in current:
-                            if isinstance(c, dict):
-                                cluster_id = c.get("cluster_id")
-                                if cluster_id is not None:
-                                    current_clusters.append((c, path + [cluster_id]))
-                        return current_clusters
-                break
-                
-        if not found:
-            # Path segment not found
-            return []
-    
-    return current_clusters
-
-def parse_json_abstract(abstract_text):
-    """Parse JSON formatted abstract string into a beautifully formatted HTML string"""
-    try:
-        abstract_json = json.loads(abstract_text)
-        # Create a formatted display for the structured abstract
-        if "Problem" in abstract_json:
-            problem = abstract_json["Problem"]
-            return f"""
-            <div class='section-problem paper-section'>
-                <div class='paper-section-title'>Problem</div>
-                <div class='label'>Domain:</div>
-                <div class='value-box'>{problem.get('overarching problem domain', 'N/A')}</div>
-                <div class='label'>Challenges:</div>
-                <div class='value-box'>{problem.get('challenges/difficulties', 'N/A')}</div>
-                <div class='label'>Goal:</div>
-                <div class='value-box'>{problem.get('research question/goal', 'N/A')}</div>
-            </div>
-            """
-        return abstract_text
-    except (json.JSONDecodeError, ValueError, TypeError):
-        # If not valid JSON, return the original text
-        return abstract_text
-
-def display_path_details(path, data, level_count):
-    if not path:
-        return
-
-    st.markdown("### Path Details")
-    
-    current = data["clusters"]
-    
-    # Dynamically generate level labels and containers
-    for i, cluster_id in enumerate(path):
-        # 修改这里：使用 i + 1 作为层级编号
-        level_number = i + 1  # 从1开始计算层级，顶层是Level 1
-        indent = i * 32  # Indent 32 pixels per level
-        
-        for c in current:
-            if c["cluster_id"] == cluster_id:
-                # Create a container with proper indentation
-                st.markdown(f"""
-                    <div style='margin-left: {indent}px; margin-bottom: 10px;'>
-                    </div>
-                """, unsafe_allow_html=True)
-                
-            # Add extra spacing at the bottom
-            st.markdown("<div style='margin-bottom: 25px;'></div>", unsafe_allow_html=True)
-                
-            # Create a row with cluster name and level button
-            col1, col2 = st.columns([0.85, 0.15])
-            
-            with col1:
-                st.markdown(f"""
-                <div style='display: flex; align-items: center;'>
-                    <div style='width: 12px; height: 12px; 
-                            border-radius: 50%; background: #3B82F6; 
-                            margin-right: 8px;'></div>
-                    <h4 style='font-size: 1.15rem; font-weight: 600; 
-                            color: #1F2937; margin: 0;'>
-                        Cluster {c["cluster_id"]}: {c["title"]}
-                    </h4>
-                </div>
-                """, unsafe_allow_html=True)
-            
-            with col2:
-                button_clicked = st.button(f'Level {level_number}', key=f'level_btn_{i}_{c["cluster_id"]}')
-            
-            if button_clicked:
-                st.session_state.path = path[:i]
-                new_params = {}
-                new_params['hierarchy'] = st.query_params['hierarchy']
-                if st.session_state.path:
-                    new_params['path'] = st.session_state.path
-                st.query_params.clear()
-                for key, value in new_params.items():
-                    if isinstance(value, list):
-                        for v in value:
-                            st.query_params[key] = v
-                    else:
-                        st.query_params[key] = value
-                st.rerun()
-            
-            # Calculate left margin for expander content to align with the header
-            # Use an extra container with margin to create the indentation
-            with st.container():
-                st.markdown(f"""
-                    <div style='margin-left: {indent}px; width: calc(100% - {indent}px);'>
-                    </div>
-                """, unsafe_allow_html=True)
-                
-                # Remove the key parameter that was causing the error
-                with st.expander("📄 Show Cluster Details", expanded=False):
-                    # Parse abstract if it's in JSON format
-                    abstract_content = parse_json_abstract(c["abstract"])
-                    st.markdown(f"""
-                        <div style='color: #374151; line-height: 1.6;'>
-                            {abstract_content}
-                        </div>
-                    """, unsafe_allow_html=True)
-            
-            current = c["children"]
-            break
-
-def display_paper(item):
-    """Display detailed paper information including problem, solution, and results with semantic scholar info"""
-    
-    # Check for semantic scholar data with proper fallbacks
-    semantic_scholar = item.get('semantic_scholar', {}) or {}
-    url = semantic_scholar.get('url', '')
-    citation_count = semantic_scholar.get('citationCount', 0)
-    influential_citation_count = semantic_scholar.get('influentialCitationCount', 0)
-    fields_of_study = semantic_scholar.get('fieldsOfStudy', []) or []
-    
-    # Generate field badges HTML
-    field_badges_html = ""
-    for field in fields_of_study:
-        field_badges_html += f"<span class='field-badge' title='Field of study'>{field}</span> "
-    
-    # Basic information section with URL link and citation counts - Always visible
-    st.markdown(f"""
-    <div class='paper-card'>
-        <div style='display: flex; justify-content: space-between; align-items: flex-start;'>
-            <div class='paper-title' style='flex-grow: 1;'>
-                {item.get('title', 'Untitled Paper')}
-                <a href="{url}" target="_blank" 
-                   style='font-size: 0.9em; margin-left: 8px; 
-                          color: #3498DB; text-decoration: none;
-                          transition: all 0.3s;'
-                   title='View paper on Semantic Scholar'>
-                   🔗
-                </a>
-            </div>
-            <div style='display: flex; align-items: center; gap: 12px;'>
-                <div class='citation-badge' title='Number of times this paper has been cited by other papers.'>
-                    <span class='citation-icon'>⭐</span> Citations: {citation_count}
-                </div>
-                <div class='influential-badge' title='Number of times this paper has been cited by influential papers. Influential citation means that the cited publication has a significant impact on the citing publication.'>
-                    <span class='influential-icon'>🔥</span> Influential Citations: {influential_citation_count}
-                </div>
-            </div>
-        </div>
-    """, unsafe_allow_html=True)
-    
-    # One main expander for all detailed information - Default collapsed
-    with st.expander("📑 Show Detailed Information", expanded=False):
-        # Abstract section
-        st.markdown("""
-        <div style='margin-top: 15px; margin-bottom: 20px;'>
-            <h4 style='color: #2C3E50; border-bottom: 2px solid #3498DB; padding-bottom: 8px;'>
-                📄 Abstract
-            </h4>
-        </div>
-        """, unsafe_allow_html=True)
-        
-        abstract_text = item.get('abstract', 'No abstract available')
-        st.markdown(f"<div class='paper-abstract'>{abstract_text}</div>", unsafe_allow_html=True)
-        
-        # Problem section
-        if 'problem' in item and item['problem']:
-            st.markdown("""
-            <div style='margin-top: 25px; margin-bottom: 20px;'>
-                <h4 style='color: #2C3E50; border-bottom: 2px solid #3498DB; padding-bottom: 8px;'>
-                    🔍 Problem Details
-                </h4>
-            </div>
-            """, unsafe_allow_html=True)
-            
-            problem = item['problem']
-            cols = st.columns([1, 2])
-            
-            with cols[0]:
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-bottom: 5px;'>
-                    Problem Domain
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-top: 15px; margin-bottom: 5px;'>
-                    Challenges/Difficulties
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-top: 15px; margin-bottom: 5px;'>
-                    Research Question/Goal
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with cols[1]:
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #3498DB;'>
-                    {problem.get('overarching problem domain', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #E74C3C; margin-top: 10px;'>
-                    {problem.get('challenges/difficulties', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #2ECC71; margin-top: 10px;'>
-                    {problem.get('research question/goal', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-        
-        # Solution section
-        if 'solution' in item and item['solution']:
-            st.markdown("""
-            <div style='margin-top: 25px; margin-bottom: 20px;'>
-                <h4 style='color: #2C3E50; border-bottom: 2px solid #2ECC71; padding-bottom: 8px;'>
-                    💡 Solution Details
-                </h4>
-            </div>
-            """, unsafe_allow_html=True)
-            
-            solution = item['solution']
-            cols = st.columns([1, 2])
-            
-            with cols[0]:
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-bottom: 5px;'>
-                    Solution Domain
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-top: 15px; margin-bottom: 5px;'>
-                    Solution Approach
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-top: 15px; margin-bottom: 5px;'>
-                    Novelty of Solution
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with cols[1]:
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #3498DB;'>
-                    {solution.get('overarching solution domain', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #9B59B6; margin-top: 10px;'>
-                    {solution.get('solution approach', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #F1C40F; margin-top: 10px;'>
-                    {solution.get('novelty of the solution', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-        
-        # Results section
-        if 'results' in item and item['results']:
-            st.markdown("""
-            <div style='margin-top: 25px; margin-bottom: 20px;'>
-                <h4 style='color: #2C3E50; border-bottom: 2px solid #9B59B6; padding-bottom: 8px;'>
-                    📊 Results Details
-                </h4>
-            </div>
-            """, unsafe_allow_html=True)
-            
-            results = item['results']
-            cols = st.columns([1, 2])
-            
-            with cols[0]:
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-bottom: 5px;'>
-                    Findings/Results
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown("""
-                <div style='font-weight: 600; color: #34495E; margin-top: 15px; margin-bottom: 5px;'>
-                    Potential Impact
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with cols[1]:
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #3498DB;'>
-                    {results.get('findings/results', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-                
-                st.markdown(f"""
-                <div style='background: #F8F9FA; padding: 10px; border-radius: 5px; 
-                          border-left: 4px solid #E67E22; margin-top: 10px;'>
-                    {results.get('potential impact of the results', 'Not specified')}
-                </div>
-                """, unsafe_allow_html=True)
-        
-        # Author information
-        if 'semantic_scholar' in item and item['semantic_scholar'] and 'authors' in item['semantic_scholar'] and item['semantic_scholar']['authors']:
-            st.markdown("""
-            <div style='margin-top: 25px; margin-bottom: 20px;'>
-                <h4 style='color: #2C3E50; border-bottom: 2px solid #E67E22; padding-bottom: 8px;'>
-                    👥 Authors
-                </h4>
-            </div>
-            """, unsafe_allow_html=True)
-            
-            authors = item['semantic_scholar']['authors'] or []
-            for author in authors:
-                if not isinstance(author, dict):
-                    continue
-                    
-                st.markdown(f"""
-                <div style='display: flex; margin-bottom: 15px; padding-bottom: 10px; border-bottom: 1px solid #eee;'>
-                    <div style='flex: 1;'>
-                        <div style='font-weight: 600; font-size: 1.05rem;'>{author.get('name', 'Unknown')}</div>
-                        <div style='color: #666; margin-top: 3px;'>Author ID: {author.get('authorId', 'N/A')}</div>
-                    </div>
-                    <div style='display: flex; gap: 15px;'>
-                        <div title='Papers'>
-                            <span style='font-size: 0.85rem; color: #666;'>Papers</span>
-                            <div style='font-weight: 600; color: #3498DB;'>{author.get('paperCount', 0)}</div>
-                        </div>
-                        <div title='Citations'>
-                            <span style='font-size: 0.85rem; color: #666;'>Citations</span>
-                            <div style='font-weight: 600; color: #3498DB;'>{author.get('citationCount', 0)}</div>
-                        </div>
-                        <div title='h-index'>
-                            <span style='font-size: 0.85rem; color: #666;'>h-index</span>
-                            <div style='font-weight: 600; color: #3498DB;'>{author.get('hIndex', 0)}</div>
-                        </div>
-                    </div>
-                </div>
-                """, unsafe_allow_html=True)
-    
-    # Close paper-card div
-    st.markdown("</div>", unsafe_allow_html=True)
-
-def display_cluster(item, path):
-    """Display a collapsible cluster with citation metrics integrated into the header, including abstract expander and buttons"""
-    
-    # Generate a unique ID for this cluster for the expander functionality
-    cluster_id = item['cluster_id']
-    unique_id = f"{cluster_id}_{'-'.join(map(str, path))}"
-    
-    # Calculate citation metrics using the updated function
-    citation_metrics = calculate_citation_metrics(item)
-    
-    # Parse the abstract
-    abstract_content = parse_json_abstract(item['abstract'])
-    
-    # 根据是否包含子项来设置按钮文本和行为
-    has_children = "children" in item and item["children"]
-    if has_children:
-        count = citation_metrics['paper_count'] if "paper_id" in item["children"][0] else len(item["children"])
-        next_level_items = item["children"]
-        is_next_level_papers = len(next_level_items) > 0 and "paper_id" in next_level_items[0]
-        btn_text = f'View Papers ({count})' if is_next_level_papers else f'View Sub-clusters ({count})'
-    
-    # 标题和论文数量显示 - 确保它们在同一水平线上
-    st.markdown(f"""
-        <div style='display: flex; align-items: center;'>
-            <div class='cluster-title' style='margin: 0; font-weight: 700; font-size: 1.3rem;'>
-                {item['title']}
-            </div>
-            <div style='display: inline-flex; align-items: center; margin-left: 12px; 
-                        background: #F4F6F9; color: #566573; padding: 2px 10px; 
-                        border-radius: 6px; font-size: 0.95rem; font-weight: 500;'>
-                <span style='margin-right: 4px;'>📑</span>{citation_metrics['paper_count']} papers
-            </div>
-        </div>
-    """, unsafe_allow_html=True)
-    
-    # 使用两列布局
-    cols = st.columns([8, 2])
-    
-    with cols[0]:  # 统计数据区域
-        # 引用统计格式：使用管道符号分隔
-        st.markdown(f"""
-            <div>
-                <div class='citation-stats'>
-                    <span style='font-weight: bold; margin-right: 5px;'>⭐</span> Citations: 
-                    Total {citation_metrics['total_citations']} <span class='stats-divider'>|</span> 
-                    Avg {citation_metrics['avg_citations']} <span class='stats-divider'>|</span> 
-                    Max {citation_metrics['max_citations']}
-                </div>
-                <div class='influential-stats'>
-                    <span style='font-weight: bold; margin-right: 5px;'>🔥</span> Influential Citations: 
-                    Total {citation_metrics['total_influential_citations']} <span class='stats-divider'>|</span> 
-                    Avg {citation_metrics['avg_influential_citations']} <span class='stats-divider'>|</span> 
-                    Max {citation_metrics['max_influential_citations']}
-                </div>
-            </div>
-        """, unsafe_allow_html=True)
-        
-        # 创建摘要展开器 - 修改文本为"Cluster Summary"
-        with st.expander("📄 Cluster Summary", expanded=False):
-            st.markdown(f"""
-                <div class='cluster-abstract'>{abstract_content}</div>
-            """, unsafe_allow_html=True)
-    
-    with cols[1]:  # 查看按钮
-        # 如果有子集群或论文，添加查看按钮
-        if has_children:
-            # 使用动态生成的按钮文本，而不是固定的"View Sub-Cluster"
-            if st.button(btn_text, key=f"btn_{unique_id}"):
-                st.session_state.path.append(item['cluster_id'])
-                st.rerun()
-    
-    # 创建一个分隔线
-    st.markdown("<hr style='margin: 0.5rem 0; border-color: #eee;'>", unsafe_allow_html=True)
-
-def main():
-    st.set_page_config(
-        layout="wide", 
-        page_title="Paper Clusters Explorer",
-        initial_sidebar_state="expanded",
-        menu_items=None
-    )
-    # 设置浅色主题
-    st.markdown("""
-        <script>
-            var elements = window.parent.document.querySelectorAll('.stApp');
-            elements[0].classList.add('light');
-            elements[0].classList.remove('dark');
-        </script>
-    """, unsafe_allow_html=True)
-    st.markdown(CUSTOM_CSS, unsafe_allow_html=True)
-
-    hierarchy_files = get_hierarchy_files()
-    if not hierarchy_files:
-        st.error("No hierarchy files found in /hierarchies directory")
-        return
-
-    # Manage file selection via query params
-    current_url = st.query_params.get('hierarchy', None)
-    current_file = unquote(current_url) + '.json' if current_url else None
-
-    hierarchy_options = {format_hierarchy_option(f): f for f in hierarchy_files}
-    selected_option = st.selectbox(
-        'Select Hierarchy',
-        options=list(hierarchy_options.keys()),
-        index=list(hierarchy_options.values()).index(current_file) if current_file else 0
-    )
-    selected_file = hierarchy_options[selected_option]
-
-    # Save selected file in query params
-    if selected_file != current_file:
-        st.query_params['hierarchy'] = quote(selected_file.replace('.json', ''))
-
-    data = load_hierarchy_data(selected_file)
-    info = parse_filename(selected_file)
-
-    # Hierarchy metadata and navigation state
-    with st.expander("📋 Hierarchy Metadata", expanded=False):
-        # Create a grid layout for metadata
-        col1, col2, col3 = st.columns(3)
-        
-        with col1:
-            st.markdown(f"""
-            <div class='metric-card'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Date</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['date']}</p>
-            </div>
-            
-            <div class='metric-card' style='margin-top: 10px;'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Clustering Method</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['clustermethod']}</p>
-            </div>
-            """, unsafe_allow_html=True)
-            
-        with col2:
-            st.markdown(f"""
-            <div class='metric-card'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Embedder / Summarizer</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['embedder']} / {info['summarizer']}</p>
-            </div>
-            
-            <div class='metric-card' style='margin-top: 10px;'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Contribution Type</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['contribution_type']}</p>
-            </div>
-            """, unsafe_allow_html=True)
-            
-        with col3:
-            st.markdown(f"""
-            <div class='metric-card'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Building Method</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['building_method']}</p>
-            </div>
-            
-            <div class='metric-card' style='margin-top: 10px;'>
-                <h4 style='margin-top: 0; color: #2C3E50; font-size: 0.9rem;'>Cluster Levels</h4>
-                <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB;'>{info['clusterlevel']} (Total: {info['level_count']})</p>
-            </div>
-            """, unsafe_allow_html=True)
-
-    if 'path' not in st.session_state:
-        path_params = st.query_params.get_all('path')
-        st.session_state.path = [p for p in path_params if p]
-
-    current_clusters = find_clusters_in_path(data, st.session_state.path)
-    current_level = len(st.session_state.path)
-    total_levels = info['level_count']
-    level_name = f'Level {current_level + 1}' if current_level < total_levels else 'Papers'
-
-    is_paper_level = current_level >= total_levels or (current_clusters and "paper_id" in current_clusters[0][0])
-
-    if not is_paper_level and current_clusters:
-        with st.expander("📊 Cluster Statistics", expanded=False):
-            stats = get_cluster_statistics(current_clusters)
-            
-            # Create a 3x2 grid for six small metric cards
-            row1_col1, row1_col2, row1_col3 = st.columns(3)
-            row2_col1, row2_col2, row2_col3 = st.columns(3)
-            
-            # Row 1 - First 3 metrics
-            with row1_col1:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Total Clusters</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Total Clusters']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with row1_col2:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Total Papers</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Total Papers']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with row1_col3:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Avg Papers/Cluster</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Average Papers per Cluster']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-            
-            # Row 2 - Next 3 metrics
-            with row2_col1:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem; margin-bottom: 15px;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Median Papers</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Median Papers']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with row2_col2:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem; margin-bottom: 15px;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Max Papers in Cluster</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Max Papers in Cluster']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-                
-            with row2_col3:
-                st.markdown(f"""
-                <div class='metric-card' style='padding: 0.8rem; margin-bottom: 15px;'>
-                    <h4 style='margin-top: 0; margin-bottom: 5px; color: #2C3E50; font-size: 0.85rem;'>Min Papers in Cluster</h4>
-                    <p style='font-size: 0.9rem; font-weight: 600; color: #3498DB; margin: 0;'>{stats['Min Papers in Cluster']['value']}</p>
-                </div>
-                """, unsafe_allow_html=True)
-
-    # Back navigation button
-    if st.session_state.path:
-        if st.button('← Back', key='back_button'):
-            st.session_state.path.pop()
-            st.rerun()
-
-    # Current path display
-    if st.session_state.path:
-        # 获取路径上每个聚类的标题
-        path_info = []
-        current = data["clusters"]
-
-        # 构建路径中每个聚类的标题和层级信息
-        for i, cid in enumerate(st.session_state.path):
-            level_num = i + 1  # 从1开始的层级编号
-            for c in current:
-                if c["cluster_id"] == cid:
-                    path_info.append((level_num, c["title"], c["cluster_id"]))
-                    current = c["children"]
-                    break
-
-        # 在Streamlit中创建路径导航
-        with st.container():
-            st.markdown("<h3 style='margin-top: 0.5rem; margin-bottom: 0.8rem;'>🗂️ Current Path</h3>", unsafe_allow_html=True)
-
-            # 🔝 添加 Root 入口
-            col1, col2 = st.columns([0.3, 0.7])
-            with col1:
-                st.markdown(f"<div><strong>Root:</strong></div>", unsafe_allow_html=True)
-            with col2:
-                if st.button("All Papers", key="root_button"):
-                    st.session_state.path = []
-                    st.rerun()
-
-            # 使用缩进显示路径层次结构
-            for i, (level_num, title, cluster_id) in enumerate(path_info):
-                col1, col2 = st.columns([0.3, 0.7])
-
-                with col1:
-                    st.markdown(f"<div><strong>Level {level_num}:</strong></div>", unsafe_allow_html=True)
-
-                with col2:
-                    # 创建用于返回到该级别的按钮
-                    if st.button(f"{title}", key=f"lvl_{i}_{cluster_id}"):
-                        # 当按钮被点击时，将路径截断到该级别
-                        st.session_state.path = st.session_state.path[:i+1]
-                        st.rerun()
-
-    # 内容展示标题
-    st.markdown(f"""
-    <h3 style='margin: 1rem 0 0.5rem 0; color: #2C3E50;'>
-        {'📑 Papers' if is_paper_level else '📂 ' + level_name}
-    </h3>
-    """, unsafe_allow_html=True)
-
-    for item, full_path in current_clusters:
-        if is_paper_level:
-            display_paper(item)
-        else:
-            display_cluster(item, full_path)
-
-if __name__ == '__main__':
-    main()

src/hierarchies/hierarchy_20250413_qwen_llama_kmeans_emb_problem_bidirectional_276-40-6_1037.json

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-version https://git-lfs.github.com/spec/v1
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-size 10829606

src/hierarchies/hierarchy_20250413_qwen_llama_kmeans_emb_problem_bottom_up_276-40-6_1037.json

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-version https://git-lfs.github.com/spec/v1
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-size 10823257

src/hierarchies/hierarchy_20250413_qwen_llama_kmeans_emb_problem_top_down_276-40-6_1037.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a833e6fe3d49126111c6ded442ccbbc419b70a01bac245fd3ccc07d77dac9112
-size 10821358

src/hierarchies/hierarchy_20250526_qwen_llama_kmeans_emb_results_top_down_500-70-18-9_1037.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 48034456

src/requirements.txt

@@ -1,4 +0,0 @@
-streamlit==1.41.1
-pandas
-numpy
-matplotlib

src/streamlit_app.py

@@ -1,40 +0,0 @@
-import altair as alt
-import numpy as np
-import pandas as pd
-import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))