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| import streamlit as st | |
| import numpy as np | |
| import plotly.express as px | |
| def plot_result(top_languages): | |
| top_k = len(top_languages) | |
| languages = [f'{r["language"]} ({r["code"]})' for r in top_languages] | |
| scores = np.array([r["score"] for r in top_languages]) | |
| scores *= 100 | |
| fig = px.bar( | |
| x=scores, | |
| y=languages, | |
| orientation='h', | |
| labels={'x': 'Confidence', 'y': 'Language'}, | |
| text=scores, | |
| range_x=(0, 115), | |
| title=f'Top {top_k} Detections', | |
| color=np.linspace(0, 1, len(scores)), | |
| color_continuous_scale='Viridis' | |
| ) | |
| fig.update(layout_coloraxis_showscale=False) | |
| fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside') | |
| fig.update_layout(yaxis={'categoryorder': 'total ascending'}) | |
| st.plotly_chart(fig, use_container_width=True) | |