Delete visualizer.py

visualizer.py

@@ -1,74 +0,0 @@
-import plotly.graph_objects as go
-from typing import Dict
-
-def create_emotion_plot(emotions: Dict[str, float]) -> str:
-    """Create emotion distribution plot"""
-    fig = go.Figure()
-    
-    # Add bar plot
-    fig.add_trace(go.Bar(
-        x=list(emotions.keys()),
-        y=list(emotions.values()),
-        marker_color='rgb(55, 83, 109)'
-    ))
-    
-    # Update layout
-    fig.update_layout(
-        title='Emotion Distribution',
-        xaxis_title='Emotion',
-        yaxis_title='Score',
-        yaxis_range=[0, 1],
-        template='plotly_white',
-        height=400
-    )
-    
-    return fig.to_html(include_plotlyjs=True)
-
-def create_pitch_plot(pitch_data: Dict) -> str:
-    """Create pitch analysis plot"""
-    fig = go.Figure()
-    
-    # Add box plot
-    fig.add_trace(go.Box(
-        y=[pitch_data['min'], pitch_data['mean'], pitch_data['max']],
-        name='Pitch Distribution',
-        boxpoints='all'
-    ))
-    
-    # Update layout
-    fig.update_layout(
-        title='Pitch Analysis',
-        yaxis_title='Frequency (Hz)',
-        template='plotly_white',
-        height=400
-    )
-    
-    return fig.to_html(include_plotlyjs=True)
-
-def create_energy_plot(energy_data: Dict) -> str:
-    """Create energy analysis plot"""
-    fig = go.Figure()
-    
-    # Add indicator
-    fig.add_trace(go.Indicator(
-        mode='gauge+number',
-        value=energy_data['mean'],
-        title={'text': 'Voice Energy Level'},
-        gauge={
-            'axis': {'range': [0, 1]},
-            'bar': {'color': 'darkblue'},
-            'steps': [
-                {'range': [0, 0.3], 'color': 'lightgray'},
-                {'range': [0.3, 0.7], 'color': 'gray'},
-                {'range': [0.7, 1], 'color': 'darkgray'}
-            ]
-        }
-    ))
-    
-    # Update layout
-    fig.update_layout(
-        height=300,
-        template='plotly_white'
-    )
-    
-    return fig.to_html(include_plotlyjs=True)