| import gradio as gr | |
| import json | |
| from seo_analyzer import SEOSpaceAnalyzer | |
| import spacy | |
| import subprocess | |
| import sys | |
| import logging | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| def setup_spacy_model() -> None: | |
| """ | |
| Verifica y descarga el modelo de spaCy 'es_core_news_lg' si no está instalado. | |
| """ | |
| try: | |
| spacy.load("es_core_news_lg") | |
| logger.info("Modelo spaCy 'es_core_news_lg' cargado correctamente.") | |
| except OSError: | |
| logger.info("Descargando modelo spaCy 'es_core_news_lg'...") | |
| try: | |
| subprocess.run( | |
| [sys.executable, "-m", "spacy", "download", "es_core_news_lg"], | |
| check=True, | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE | |
| ) | |
| logger.info("Modelo descargado exitosamente.") | |
| except subprocess.CalledProcessError as e: | |
| logger.error(f"Error al descargar modelo: {e.stderr.decode()}") | |
| raise RuntimeError("No se pudo descargar el modelo spaCy") from e | |
| def create_interface() -> gr.Blocks: | |
| analyzer = SEOSpaceAnalyzer() | |
| with gr.Blocks(title="SEO Analyzer Pro", theme=gr.themes.Soft()) as interface: | |
| gr.Markdown(""" | |
| # 🕵️ SEO Analyzer Pro | |
| **Analizador SEO avanzado con modelos de lenguaje** | |
| Ingresa la URL de un sitemap.xml para analizar el sitio web. | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| sitemap_input = gr.Textbox( | |
| label="URL del Sitemap", | |
| placeholder="https://ejemplo.com/sitemap.xml", | |
| interactive=True | |
| ) | |
| analyze_btn = gr.Button("Analizar Sitio", variant="primary") | |
| with gr.Row(): | |
| clear_btn = gr.Button("Limpiar") | |
| download_btn = gr.Button("Descargar Reporte", variant="secondary") | |
| plot_btn = gr.Button("Visualizar Enlaces Internos", variant="secondary") | |
| with gr.Column(): | |
| status_output = gr.Textbox(label="Estado del Análisis", interactive=False) | |
| with gr.Tabs(): | |
| with gr.Tab("📊 Resumen"): | |
| stats_output = gr.JSON(label="Estadísticas Generales") | |
| recommendations_output = gr.JSON(label="Recomendaciones SEO") | |
| with gr.Tab("📝 Contenido"): | |
| content_output = gr.JSON(label="Análisis de Contenido") | |
| with gr.Tab("🔗 Enlaces"): | |
| links_output = gr.JSON(label="Análisis de Enlaces") | |
| links_plot = gr.Plot(label="Visualización de Enlaces Internos") | |
| with gr.Tab("📄 Detalles"): | |
| details_output = gr.JSON(label="Detalles Individuales") | |
| def generate_report() -> str: | |
| if analyzer.current_analysis: | |
| report_path = "content_storage/seo_report.json" | |
| with open(report_path, 'w', encoding='utf-8') as f: | |
| json.dump(analyzer.current_analysis, f, indent=2, ensure_ascii=False) | |
| return report_path | |
| return "" | |
| def plot_internal_links(links_json: dict) -> any: | |
| return analyzer.plot_internal_links(links_json) | |
| analyze_btn.click( | |
| fn=analyzer.analyze_sitemap, | |
| inputs=sitemap_input, | |
| outputs=[stats_output, recommendations_output, content_output, links_output, details_output], | |
| show_progress=True | |
| ) | |
| clear_btn.click( | |
| fn=lambda: [None, None, None, None, None], | |
| outputs=[stats_output, recommendations_output, content_output, links_output, details_output] | |
| ) | |
| download_btn.click( | |
| fn=generate_report, | |
| outputs=gr.File(label="Descargar Reporte") | |
| ) | |
| plot_btn.click( | |
| fn=plot_internal_links, | |
| inputs=links_output, | |
| outputs=links_plot | |
| ) | |
| return interface | |
| if __name__ == "__main__": | |
| setup_spacy_model() | |
| app = create_interface() | |
| app.launch(server_name="0.0.0.0", server_port=7860, show_error=True, share=False) | |