Update app.py

app.py

@@ -91,14 +91,17 @@ def process_complete_pipeline(
     """Pipeline completo de procesamiento"""
     progress_updates = []
     
+    if not file:
+        return None, None, None, None, None, "❌ Por favor, sube un archivo para procesar"
+    
     # Paso 1: Procesar con BiotechU4
     progress_updates.append("🔄 Procesando datos biotecnológicos...")
     plot, df_data, status = process_biotech_data(
         file, models, component, use_de, maxfev, exp_names
     )
     
-    if "Error" in status:
-        return None, None, None, status, None, None
+    if plot is None or "Error" in str(status):
+        return None, None, None, None, None, status
     
     progress_updates.append("✅ Análisis biotecnológico completado")
     
@@ -107,7 +110,7 @@ def process_complete_pipeline(
     csv_file = download_results_as_csv(df_data)
     
     if not csv_file:
-        return plot, df_data, None, "Error al descargar resultados", None, status
+        return plot, df_data, None, None, None, "Error al descargar resultados"
     
     # Paso 3: Generar análisis con Claude
     progress_updates.append(f"🤖 Generando análisis con {claude_model}...")
@@ -125,8 +128,62 @@ def process_complete_pipeline(
     
     return plot, df_data, analysis, code, report_file, final_status
 
+# CSS personalizado
+custom_css = """
+.container {
+    max-width: 1400px;
+    margin: auto;
+}
+
+.file-upload {
+    border: 2px dashed #3b82f6;
+    border-radius: 12px;
+    padding: 20px;
+    text-align: center;
+    transition: all 0.3s ease;
+}
+
+.file-upload:hover {
+    border-color: #2563eb;
+    background-color: #eff6ff;
+}
+
+button.primary {
+    background: linear-gradient(135deg, #3b82f6 0%, #8b5cf6 100%);
+    border: none;
+    color: white;
+    font-weight: bold;
+    transition: all 0.3s ease;
+}
+
+button.primary:hover {
+    transform: translateY(-2px);
+    box-shadow: 0 10px 20px rgba(59, 130, 246, 0.3);
+}
+
+.tabs {
+    border-radius: 12px;
+    overflow: hidden;
+}
+
+.tab-nav {
+    background-color: #f3f4f6;
+    padding: 5px;
+}
+
+.tab-nav button {
+    border-radius: 8px;
+    margin: 0 2px;
+}
+
+.tab-nav button.selected {
+    background-color: white;
+    box-shadow: 0 2px 4px rgba(0,0,0,0.1);
+}
+"""
+
 # Interfaz de Gradio
-with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as demo:
+with gr.Blocks(theme=theme, title="BioTech Analysis & Report Generator", css=custom_css) as demo:
     gr.Markdown(
         """
         # 🧬 BioTech Analysis & Report Generator
@@ -145,7 +202,7 @@ with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as
             file_input = gr.File(
                 label="📁 Archivo de datos (CSV/Excel)",
                 file_types=[".csv", ".xlsx", ".xls"],
-                elem_classes="file-input"
+                elem_classes=["file-upload"]
             )
             
             with gr.Group():
@@ -155,8 +212,7 @@ with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as
                     choices=['logistic', 'gompertz', 'moser', 'baranyi', 'monod', 
                             'contois', 'andrews', 'tessier', 'richards', 'stannard', 'huang'],
                     value=['logistic', 'gompertz', 'moser', 'baranyi'],
-                    label="📊 Modelos a probar",
-                    elem_classes="models-input"
+                    label="📊 Modelos a probar"
                 )
                 
                 component_input = gr.Dropdown(
@@ -227,13 +283,14 @@ with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as
             process_btn = gr.Button(
                 "🚀 Ejecutar Pipeline Completo",
                 variant="primary",
-                size="lg"
+                size="lg",
+                elem_classes=["primary"]
             )
         
         with gr.Column(scale=2):
             gr.Markdown("## 📈 Resultados")
             
-            with gr.Tabs():
+            with gr.Tabs(elem_classes=["tabs"]):
                 with gr.TabItem("📊 Visualización"):
                     plot_output = gr.Plot(label="Gráfico interactivo")
                 
@@ -291,38 +348,7 @@ with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as
         ]
     )
     
-    # Ejemplos
-    gr.Examples(
-        examples=[
-            [
-                "example_data.csv",
-                ['logistic', 'gompertz'],
-                'all',
-                False,
-                50000,
-                "Crecimiento bacteriano",
-                'claude-3-7-sonnet-20250219',
-                'detailed',
-                'es',
-                "Analizar el crecimiento bacteriano en diferentes condiciones de temperatura",
-                'PDF'
-            ]
-        ],
-        inputs=[
-            file_input,
-            models_input,
-            component_input,
-            use_de_input,
-            maxfev_input,
-            exp_names_input,
-            claude_model_input,
-            detail_level_input,
-            language_input,
-            additional_specs_input,
-            export_format_input
-        ]
-    )
-    
+    # Footer
     gr.Markdown(
         """
         ---
@@ -343,6 +369,6 @@ with gr.Blocks(theme=theme, title="🧬 BioTech Analysis & Report Generator") as
 if __name__ == "__main__":
     demo.launch(
         share=True,
-        show_error=True,
-        favicon_path="🧬"
+        show_error=True
+        # Removido favicon_path que causaba el error
     )