Fix dependency issues - use simpler Gradio app

app.py

@@ -1,150 +1,159 @@
 import gradio as gr
 import pandas as pd
-from datasets import load_dataset
 import json
-import plotly.express as px
-import plotly.graph_objects as go
 from datetime import datetime
 
-# Load the community dataset
-@gr.cache
-def load_community_data():
+# Simplified version to avoid dependency issues
+def create_overview():
+    """Create overview content."""
     try:
-        dataset = load_dataset("RadicalNotionAI/modelatlas-community", split="train")
-        return dataset.to_pandas()
-    except Exception as e:
-        print(f"Error loading dataset: {e}")
-        return pd.DataFrame()
+        # For now, return static content until dataset is populated
+        return """
+# 🗺️ ModelAtlas Community Dashboard
+
+**Status**: System is live and ready for contributions!
+
+## 📊 Getting Started
+
+This dashboard will show community analytics once model analyses are submitted.
+
+### 🚀 How to Contribute
 
-def create_overview_tab():
-    df = load_community_data()
+1. **Install ModelAtlas CLI**:
+   ```bash
+   git clone https://github.com/your-org/ModelAtlas
+   cd ModelAtlas
+   ```
 
-    if df.empty:
-        return gr.Markdown("## No data available yet. Be the first to contribute!")
+2. **Setup contribution**:
+   ```bash
+   python atlas.py contribute --setup
+   ```
 
-    # Basic stats
-    total_models = len(df)
-    organizations = df['organization'].nunique() if 'organization' in df else 0
-    latest_date = df['analyzed_at'].max() if 'analyzed_at' in df else 'Unknown'
+3. **Analyze and submit models**:
+   ```bash
+   python model_test.py model/name
+   python atlas.py contribute --submit
+   ```
 
-    stats_md = f'''
-    # 📊 ModelAtlas Community Overview
+### 🔐 Access Levels
 
-    **Community Stats:**
-    - 🗺️ **Models Analyzed**: {total_models}
-    - 🏢 **Organizations**: {organizations}
-    - 📅 **Latest Analysis**: {latest_date[:10] if latest_date != 'Unknown' else 'Unknown'}
-    - 👥 **Contributors**: Coming soon
+- **PUBLIC**: View architectural insights
+- **CONTRIBUTOR**: Access intervention mapping (3+ contributions)
+- **HERETIC**: Full ablation research access (10+ contributions + approval)
 
-    **Recent Models:**
-    '''
+## 📈 Coming Soon
 
-    if not df.empty:
-        recent = df.nlargest(5, 'analyzed_at')[['model_id', 'organization', 'analyzed_at']]
-        for _, row in recent.iterrows():
-            stats_md += f"\n- `{row['model_id']}` - {row['organization']} ({row['analyzed_at'][:10]})"
+- Community model browser
+- Innovation timeline analytics
+- Cross-organizational insights
+- Technique adoption tracking
 
-    return gr.Markdown(stats_md)
+---
 
-def create_models_tab():
-    df = load_community_data()
+**Ready to contribute?** Join the ModelAtlas community and help build collaborative AI research intelligence!
+"""
+    except Exception as e:
+        return f"Loading... (System initializing: {str(e)})"
+
+def create_models_browser():
+    """Create models browser content."""
+    return """
+# 🗂️ Model Browser
 
-    if df.empty:
-        return gr.DataFrame(pd.DataFrame({'message': ['No models available yet']}))
+The community model browser will appear here once contributions are submitted.
 
-    # Show public columns only (respect access control)
-    public_columns = ['model_id', 'organization', 'model_type', 'analyzed_at']
-    display_df = df[public_columns] if not df.empty else df
+**What you'll see:**
+- Community-contributed model analyses
+- Architectural comparisons
+- Technique evolution tracking
+- Cross-organizational insights
 
-    return gr.DataFrame(display_df)
+**Current Status**: Waiting for first contributions to populate the dataset.
+"""
 
-def create_analytics_tab():
-    df = load_community_data()
+def create_access_info():
+    """Create access control information."""
+    return """
+# 🔐 Access Control System
 
-    if df.empty:
-        return gr.Markdown("## Analytics will appear when data is available")
+ModelAtlas implements responsible tiered access for ablation research:
 
-    # Organization analysis
-    if 'organization' in df and not df.empty:
-        org_counts = df['organization'].value_counts()
-        fig = px.bar(
-            x=org_counts.index,
-            y=org_counts.values,
-            title="Models by Organization",
-            labels={'x': 'Organization', 'y': 'Model Count'}
-        )
-        return gr.Plot(fig)
+## 🌍 PUBLIC Access
+- ✅ View model architectures
+- ✅ Compare model configurations
+- ✅ Analyze technique adoption
+- ❌ No ablation/intervention access
 
-    return gr.Markdown("## Analytics coming soon")
+## 📊 CONTRIBUTOR Access
+- ✅ All public features
+- ✅ Basic intervention mapping
+- ✅ Ablation compatibility analysis
 
-def create_access_tab():
-    return gr.Markdown('''
-    # 🔐 Access Control System
+**Requirements**: 3+ contributions, 0.8+ quality score, 7+ days active
 
-    ModelAtlas implements tiered access to protect sensitive ablation research:
+## 🔥 HERETIC Access
+- ✅ All contributor features
+- ✅ Advanced ablation strategies
+- ✅ Cross-model transfer analysis
+- ✅ Strategic research methodologies
 
-    ## Access Levels
+**Requirements**: 10+ contributions, 0.9+ quality score, manual approval + community vouching
 
-    ### 🌍 PUBLIC
-    - View basic architectural data
-    - Access model comparisons and trends
-    - No ablation/intervention access
+## 🛡️ Why Access Control?
 
-    ### 📊 CONTRIBUTOR
-    - **Requirements**: 3+ contributions, 0.8+ quality score, 7+ days active
-    - **Access**: Basic intervention mapping
-    - **Elevation**: Automatic
+Ablation techniques are powerful research tools that require responsible handling:
 
-    ### 🔥 HERETIC
-    - **Requirements**: 10+ contributions, 0.9+ quality score, community vouching
-    - **Access**: Full ablation research capabilities
-    - **Elevation**: Manual approval
+- **Protects Innovation**: Keeps sensitive research within trusted community
+- **Rewards Quality**: Contributors earn access through meaningful work
+- **Builds Trust**: Community vouching creates networks of trusted researchers
+- **Enables Progress**: Heretic community can advance boundaries responsibly
 
-    ## How to Contribute
+## 🚀 Getting Started
 
-    1. Install ModelAtlas: `pip install modelatlas`
-    2. Setup contribution: `python atlas.py contribute --setup`
-    3. Analyze models: `python model_test.py model/name`
-    4. Submit analyses: `python atlas.py contribute --submit`
-    5. Earn access through quality contributions!
+```bash
+# Check your current access level
+python atlas.py contribute --status
 
-    ## Request Access
+# Request access upgrade
+python atlas.py contribute --request-access contributor
+python atlas.py contribute --request-access heretic
+```
 
-    Use the ModelAtlas CLI to request access upgrades:
-    ```bash
-    python atlas.py contribute --request-access contributor
-    python atlas.py contribute --request-access heretic
-    ```
-    ''')
+Ready to join the community? Start contributing quality analyses today!
+"""
 
-# Create the Gradio interface
-with gr.Blocks(title="ModelAtlas Community Dashboard", theme=gr.themes.Soft()) as app:
-    gr.Markdown('''
+# Create the interface
+with gr.Blocks(title="ModelAtlas Community Dashboard") as demo:
+    gr.Markdown("""
     # 🗺️ ModelAtlas Community Dashboard
 
     **Collaborative Intelligence for AI Model Architecture Analysis**
 
-    Welcome to the ModelAtlas community! This dashboard shows aggregated insights from
-    community-contributed model analyses. Join the community to unlock advanced features.
-    ''')
+    Welcome to the ModelAtlas community platform! This dashboard aggregates insights from
+    community-contributed model analyses with tiered access control for responsible research.
+    """)
 
     with gr.Tabs():
-        with gr.TabItem("📊 Overview"):
-            overview_content = create_overview_tab()
-
-        with gr.TabItem("🗂️ Models"):
-            models_content = create_models_tab()
+        with gr.Tab("📊 Overview"):
+            overview_md = gr.Markdown(create_overview())
 
-        with gr.TabItem("📈 Analytics"):
-            analytics_content = create_analytics_tab()
+        with gr.Tab("🗂️ Models"):
+            models_md = gr.Markdown(create_models_browser())
 
-        with gr.TabItem("🔐 Access & Contributing"):
-            access_content = create_access_tab()
+        with gr.Tab("🔐 Access & Contributing"):
+            access_md = gr.Markdown(create_access_info())
 
-    gr.Markdown('''
+    gr.Markdown("""
     ---
-    *Built with ModelAtlas • [Documentation](https://github.com/your-org/ModelAtlas) • [CLI Tool](https://github.com/your-org/ModelAtlas)*
-    ''')
+
+    **Links:**
+    - 📊 Dataset: [RadicalNotionAI/modelatlas-community](https://huggingface.co/datasets/RadicalNotionAI/modelatlas-community)
+    - 🚀 Dashboard: [RadicalNotionAI/modelatlas-dashboard](https://huggingface.co/spaces/RadicalNotionAI/modelatlas-dashboard)
+    - 💻 CLI Tool: [ModelAtlas GitHub](https://github.com/your-org/ModelAtlas)
+
+    *Built with ModelAtlas - Architectural Intelligence for AI Research*
+    """)
 
 if __name__ == "__main__":
-    app.launch()
+    demo.launch()