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UI.py
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# UI.py
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import gradio as gr
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def create_interface(process_function_for_button):
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inputs=[name_input],
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outputs=[greeting_output]
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)
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#
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return demo
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# UI.py
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import gradio as gr
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import numpy as np # Necesario para np.inf en los valores por defecto de los l铆mites
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def create_interface(process_function_for_button):
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"""
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Crea la interfaz de usuario completa para el modelado de bioprocesos.
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Conecta el bot贸n de submit a la 'process_function_for_button' proporcionada.
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"""
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# Usar un tema est谩ndar de Gradio para mayor compatibilidad.
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# theme='gradio/soft' es una buena opci贸n. Puedes cambiarlo si tienes un tema personalizado que funcione.
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with gr.Blocks(theme='gradio/soft') as demo:
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gr.Markdown("# Modelado de Bioprocesos con Ecuaciones Personalizadas y An谩lisis por IA")
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gr.Markdown(
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"Sube un archivo Excel con columnas 'Tiempo', 'Biomasa', 'Sustrato', 'Producto'. "
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"Ingresa tus propias ecuaciones (usando 't' para tiempo y 'X_val' para X(t) en ecuaciones de S/P), "
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"los nombres de sus par谩metros, y sus l铆mites. El sistema ajustar谩 los modelos y un LLM analizar谩 los resultados."
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)
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### 1. Carga de Datos y Configuraci贸n General del Gr谩fico")
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file_input = gr.File(label="Subir archivo Excel (.xlsx)", file_types=[".xlsx"])
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show_legend_ui = gr.Checkbox(label="Mostrar leyenda en gr谩ficos", value=True)
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show_params_ui = gr.Checkbox(label="Mostrar par谩metros ajustados en gr谩ficos", value=True)
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legend_position_ui = gr.Dropdown(
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label="Posici贸n de la leyenda",
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choices=['best', 'upper right', 'upper left', 'lower right', 'lower left', 'center left', 'center right', 'lower center', 'upper center', 'center'],
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value='best', # String value, esto est谩 bien
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type="value"
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)
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with gr.Column(scale=1):
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gr.Markdown("### 2. Conteo de Ecuaciones a Probar")
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gr.Markdown("Define cu谩ntas ecuaciones diferentes quieres probar para cada componente (1 a 3).")
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# Usar floats para gr.Number, Gradio los maneja bien incluso con precision=0
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biomass_eq_count_ui = gr.Number(label="Ecuaciones de Biomasa:", value=1.0, minimum=1.0, maximum=3.0, step=1.0, precision=0)
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substrate_eq_count_ui = gr.Number(label="Ecuaciones de Sustrato:", value=1.0, minimum=1.0, maximum=3.0, step=1.0, precision=0)
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product_eq_count_ui = gr.Number(label="Ecuaciones de Producto:", value=1.0, minimum=1.0, maximum=3.0, step=1.0, precision=0)
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# --- Secci贸n de Biomasa ---
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with gr.Accordion("3. Definici贸n de Modelos de Biomasa", open=True):
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gr.Markdown("Ingresa la ecuaci贸n (ej: `Xm*(1 - exp(-um*(t - t_lag)))`), los nombres de los par谩metros (ej: `Xm, um, t_lag`), y los l铆mites de los par谩metros (ej: `(0, np.inf), (0, 5), (0, 100)`). Usa `t` como la variable de tiempo.")
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with gr.Row():
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with gr.Column(): # Columna 1 para Biomasa (siempre visible)
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biomass_eq1_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 1", value="Xm * (1 - exp(-um * (t - t_lag)))", lines=2)
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biomass_param1_ui = gr.Textbox(label="Par谩metros Biomasa 1", value="Xm, um, t_lag")
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biomass_bound1_ui = gr.Textbox(label="L铆mites Biomasa 1", value="(0, np.inf), (0, np.inf), (0, np.inf)")
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# Columna 2 para Biomasa
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biomass_col2_container = gr.Column(visible=False)
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with biomass_col2_container:
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biomass_eq2_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 2", value="X0 * exp(um * t)", lines=2) # Ejemplo: Crecimiento exponencial
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biomass_param2_ui = gr.Textbox(label="Par谩metros Biomasa 2", value="X0, um")
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biomass_bound2_ui = gr.Textbox(label="L铆mites Biomasa 2", value="(0, np.inf), (0, np.inf)")
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# Columna 3 para Biomasa
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biomass_col3_container = gr.Column(visible=False)
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with biomass_col3_container:
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biomass_eq3_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 3", lines=2, value="", placeholder="Ej: (X0 * Xm * exp(um * t)) / (Xm - X0 + X0 * exp(um * t))") # Log铆stica
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biomass_param3_ui = gr.Textbox(label="Par谩metros Biomasa 3", value="", placeholder="X0, Xm, um")
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biomass_bound3_ui = gr.Textbox(label="L铆mites Biomasa 3", value="", placeholder="(0,np.inf),(0,np.inf),(0,np.inf)")
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# --- Secci贸n de Sustrato ---
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with gr.Accordion("4. Definici贸n de Modelos de Sustrato", open=True):
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gr.Markdown("Para Sustrato/Producto, si tu ecuaci贸n depende de la concentraci贸n de biomasa X(t) calculada por un modelo de biomasa, usa `X_val` en tu ecuaci贸n. Ejemplo: `S0 - (X_val / YXS)`.")
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with gr.Row():
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with gr.Column():
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substrate_eq1_ui = gr.Textbox(label="Ecuaci贸n de Sustrato 1", value="S0 - (X_val / YXS) - mS * t", lines=2)
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substrate_param1_ui = gr.Textbox(label="Par谩metros Sustrato 1", value="S0, YXS, mS")
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substrate_bound1_ui = gr.Textbox(label="L铆mites Sustrato 1", value="(0, np.inf), (1e-9, np.inf), (0, np.inf)") # YXS > 0
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substrate_col2_container = gr.Column(visible=False)
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with substrate_col2_container:
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substrate_eq2_ui = gr.Textbox(label="Ecuaci贸n de Sustrato 2", lines=2, value="")
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substrate_param2_ui = gr.Textbox(label="Par谩metros Sustrato 2", value="")
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substrate_bound2_ui = gr.Textbox(label="L铆mites Sustrato 2", value="")
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substrate_col3_container = gr.Column(visible=False)
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with substrate_col3_container:
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substrate_eq3_ui = gr.Textbox(label="Ecuaci贸n de Sustrato 3", lines=2, value="")
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substrate_param3_ui = gr.Textbox(label="Par谩metros Sustrato 3", value="")
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substrate_bound3_ui = gr.Textbox(label="L铆mites Sustrato 3", value="")
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# --- Secci贸n de Producto ---
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with gr.Accordion("5. Definici贸n de Modelos de Producto", open=True):
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gr.Markdown("Similar a Sustrato, usa `X_val` para la dependencia de la biomasa X(t).")
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with gr.Row():
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with gr.Column():
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product_eq1_ui = gr.Textbox(label="Ecuaci贸n de Producto 1", value="P0 + YPX * X_val + mP * t", lines=2)
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product_param1_ui = gr.Textbox(label="Par谩metros Producto 1", value="P0, YPX, mP")
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product_bound1_ui = gr.Textbox(label="L铆mites Producto 1", value="(0, np.inf), (0, np.inf), (0, np.inf)")
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product_col2_container = gr.Column(visible=False)
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with product_col2_container:
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product_eq2_ui = gr.Textbox(label="Ecuaci贸n de Producto 2", lines=2, value="")
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product_param2_ui = gr.Textbox(label="Par谩metros Producto 2", value="")
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product_bound2_ui = gr.Textbox(label="L铆mites Producto 2", value="")
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product_col3_container = gr.Column(visible=False)
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with product_col3_container:
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product_eq3_ui = gr.Textbox(label="Ecuaci贸n de Producto 3", lines=2, value="")
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product_param3_ui = gr.Textbox(label="Par谩metros Producto 3", value="")
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product_bound3_ui = gr.Textbox(label="L铆mites Producto 3", value="")
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# L贸gica para mostrar/ocultar campos de ecuaci贸n din谩micamente
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def update_eq_visibility(count_value):
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try:
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# El valor de gr.Number puede ser None si el usuario lo borra
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if count_value is None:
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count = 0 # O 1, dependiendo de c贸mo quieras manejarlo. 0 ocultar谩 todo.
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else:
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count = int(float(count_value)) # Convertir a float primero, luego a int
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except ValueError:
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count = 0 # Si la conversi贸n falla, asumir 0
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# gr.update es la forma can贸nica de actualizar propiedades
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return gr.update(visible=count >= 2), gr.update(visible=count >= 3)
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# Conectar eventos .change() de los contadores a la funci贸n de visibilidad
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biomass_eq_count_ui.change(fn=update_eq_visibility, inputs=biomass_eq_count_ui, outputs=[biomass_col2_container, biomass_col3_container])
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substrate_eq_count_ui.change(fn=update_eq_visibility, inputs=substrate_eq_count_ui, outputs=[substrate_col2_container, substrate_col3_container])
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product_eq_count_ui.change(fn=update_eq_visibility, inputs=product_eq_count_ui, outputs=[product_col2_container, product_col3_container])
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# Bot贸n de env铆o
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submit_button = gr.Button("Procesar y Analizar Modelos", variant="primary", scale=1, elem_id="submit_button_main")
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# Salidas
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gr.Markdown("## Resultados del An谩lisis y Modelado")
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with gr.Row():
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# Para la imagen, type="pil" es bueno si tu funci贸n devuelve un objeto PIL.Image
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image_output = gr.Image(label="Gr谩fico Generado de Ajustes", type="pil", scale=2, show_download_button=True, height=750)
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with gr.Column(scale=3):
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analysis_output = gr.Markdown(label="An谩lisis del Modelo por IA")
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# Lista de todos los inputs para el bot贸n de submit
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all_inputs_for_button = [
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file_input,
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biomass_eq1_ui, biomass_eq2_ui, biomass_eq3_ui,
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biomass_param1_ui, biomass_param2_ui, biomass_param3_ui,
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biomass_bound1_ui, biomass_bound2_ui, biomass_bound3_ui,
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substrate_eq1_ui, substrate_eq2_ui, substrate_eq3_ui,
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substrate_param1_ui, substrate_param2_ui, substrate_param3_ui,
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substrate_bound1_ui, substrate_bound2_ui, substrate_bound3_ui,
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product_eq1_ui, product_eq2_ui, product_eq3_ui,
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product_param1_ui, product_param2_ui, product_param3_ui,
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product_bound1_ui, product_bound2_ui, product_bound3_ui,
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legend_position_ui,
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show_legend_ui,
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show_params_ui,
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biomass_eq_count_ui,
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substrate_eq_count_ui,
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product_eq_count_ui
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]
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outputs_for_button = [image_output, analysis_output]
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# Conexi贸n del bot贸n DENTRO del contexto de Blocks
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submit_button.click(
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fn=process_function_for_button, # Usa la funci贸n pasada como argumento
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inputs=all_inputs_for_button,
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outputs=outputs_for_button,
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# api_name="process_data" # Opcional, para nombrar el endpoint de la API
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)
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# Inicializar visibilidad usando demo.load para que se aplique al cargar la UI
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def set_initial_visibility_on_load_wrapper(b_c_val, s_c_val, p_c_val):
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# Obtener los valores iniciales de los gr.Number components y aplicar la l贸gica de visibilidad.
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# Los valores de los Number inputs pueden ser float, convertirlos a int.
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b_c_int = int(float(b_c_val)) if b_c_val is not None else 0
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s_c_int = int(float(s_c_val)) if s_c_val is not None else 0
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p_c_int = int(float(p_c_val)) if p_c_val is not None else 0
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b_vis2_upd, b_vis3_upd = update_eq_visibility(b_c_int)
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s_vis2_upd, s_vis3_upd = update_eq_visibility(s_c_int)
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p_vis2_upd, p_vis3_upd = update_eq_visibility(p_c_int)
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# Devolver los resultados de gr.update para cada componente de salida del demo.load
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return b_vis2_upd, b_vis3_upd, s_vis2_upd, s_vis3_upd, p_vis2_upd, p_vis3_upd
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demo.load(
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fn=set_initial_visibility_on_load_wrapper,
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inputs=[biomass_eq_count_ui, substrate_eq_count_ui, product_eq_count_ui],
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outputs=[
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biomass_col2_container, biomass_col3_container,
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substrate_col2_container, substrate_col3_container,
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product_col2_container, product_col3_container
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]
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)
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return demo
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app.py
CHANGED
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# app.py
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import sys
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from pathlib import Path
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import os
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import subprocess
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import pkg_resources #
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# --- CR脥TICO: L脥NEA PARA FORZAR LA VERSI脫N DE GRADIO Y GRADIO-CLIENT CORRECTA ---
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print("INFO (app.py): Intentando forzar la instalaci贸n de Gradio 4.29.0 y
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GRADIO_TARGET_VERSION = "4.29.0"
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GRADIO_CLIENT_TARGET_VERSION = "0.16.1"
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try:
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subprocess.check_call([sys.executable, "-m", "pip", "uninstall", "-y", "gradio", "gradio-client"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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print(f"INFO (app.py): Intentando instalar gradio=={GRADIO_TARGET_VERSION} y gradio-client=={GRADIO_CLIENT_TARGET_VERSION}...")
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subprocess.check_call([sys.executable, "-m", "pip", "install", f"gradio=={GRADIO_TARGET_VERSION}", f"gradio-client=={GRADIO_CLIENT_TARGET_VERSION}"])
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installed_gradio_version = pkg_resources.get_distribution("gradio").version
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installed_client_version = pkg_resources.get_distribution("gradio_client").version
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print(f"INFO (app.py): Versi贸n de Gradio instalada: {installed_gradio_version}")
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print(f"INFO (app.py): Versi贸n de Gradio-Client instalada: {installed_client_version}")
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if installed_gradio_version != GRADIO_TARGET_VERSION or installed_client_version != GRADIO_CLIENT_TARGET_VERSION:
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print(f"ERROR (app.py): No se pudo forzar la versi贸n correcta de Gradio/Gradio-Client.")
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print(f"Se esperaba Gradio {GRADIO_TARGET_VERSION}, se obtuvo {installed_gradio_version}")
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print(f"Se esperaba Gradio-Client {GRADIO_CLIENT_TARGET_VERSION}, se obtuvo {installed_client_version}")
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# sys.exit(1) # Salir si la versi贸n no es la correcta, opcional
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else:
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30 |
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print(f"INFO (app.py): Gradio {GRADIO_TARGET_VERSION} y Gradio-Client {GRADIO_CLIENT_TARGET_VERSION} instalados y verificados correctamente.")
|
31 |
-
|
32 |
except subprocess.CalledProcessError as e:
|
33 |
print(f"ERROR (app.py): Fallo al forzar la instalaci贸n de Gradio: {e}")
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
sys.exit(1)
|
38 |
# --- FIN DE L脥NEA CR脥TICA ---
|
39 |
|
40 |
-
# ... (resto de tu app.py, importando UI, interface, etc.) ...
|
41 |
-
# Aseg煤rate de que estas importaciones ocurran DESPU脡S del bloque de instalaci贸n.
|
42 |
CURRENT_DIR = Path(__file__).parent
|
43 |
if str(CURRENT_DIR) not in sys.path:
|
44 |
sys.path.insert(0, str(CURRENT_DIR))
|
45 |
|
46 |
try:
|
47 |
import decorators
|
48 |
-
|
|
|
|
|
49 |
import interface as app_interface_module
|
50 |
except ImportError as e:
|
51 |
-
print(f"Error cr铆tico de importaci贸n en app.py: {e}.")
|
|
|
52 |
sys.exit(1)
|
53 |
|
54 |
-
|
55 |
-
#
|
56 |
-
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
|
|
|
|
|
|
|
|
|
|
61 |
|
62 |
def main():
|
63 |
-
print("INFO (app.py): Creando la interfaz Gradio
|
64 |
-
#
|
65 |
-
demo_instance = create_interface(process_function_for_button=
|
66 |
|
67 |
print("INFO (app.py): Lanzando la interfaz Gradio localmente...")
|
68 |
try:
|
|
|
1 |
+
# app.py
|
2 |
import sys
|
3 |
from pathlib import Path
|
4 |
import os
|
5 |
import subprocess
|
6 |
+
# import pkg_resources # Comentado o eliminado, ya que dio info enga帽osa
|
7 |
|
8 |
# --- CR脥TICO: L脥NEA PARA FORZAR LA VERSI脫N DE GRADIO Y GRADIO-CLIENT CORRECTA ---
|
9 |
+
print("INFO (app.py): Intentando forzar la instalaci贸n de Gradio 4.29.0 y su cliente compatible...")
|
10 |
GRADIO_TARGET_VERSION = "4.29.0"
|
11 |
+
GRADIO_CLIENT_TARGET_VERSION = "0.16.1" # Cliente para Gradio 4.29.0
|
12 |
try:
|
13 |
+
# Desinstalar cualquier versi贸n existente de gradio y gradio_client
|
14 |
+
# Redirigir stdout/stderr a DEVNULL para una salida m谩s limpia si tienen 茅xito
|
15 |
subprocess.check_call([sys.executable, "-m", "pip", "uninstall", "-y", "gradio", "gradio-client"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
|
16 |
print(f"INFO (app.py): Intentando instalar gradio=={GRADIO_TARGET_VERSION} y gradio-client=={GRADIO_CLIENT_TARGET_VERSION}...")
|
17 |
subprocess.check_call([sys.executable, "-m", "pip", "install", f"gradio=={GRADIO_TARGET_VERSION}", f"gradio-client=={GRADIO_CLIENT_TARGET_VERSION}"])
|
18 |
+
print(f"INFO (app.py): Instalaci贸n forzada de Gradio {GRADIO_TARGET_VERSION} y Gradio-Client {GRADIO_CLIENT_TARGET_VERSION} solicitada.")
|
19 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
20 |
except subprocess.CalledProcessError as e:
|
21 |
print(f"ERROR (app.py): Fallo al forzar la instalaci贸n de Gradio: {e}")
|
22 |
+
print("Por favor, aseg煤rate de que no hay otras dependencias conflictivas y reintenta despu茅s de una limpieza profunda del entorno.")
|
23 |
+
# Considera no salir si el error es solo por "ya desinstalado"
|
24 |
+
# sys.exit(1)
|
|
|
25 |
# --- FIN DE L脥NEA CR脥TICA ---
|
26 |
|
|
|
|
|
27 |
CURRENT_DIR = Path(__file__).parent
|
28 |
if str(CURRENT_DIR) not in sys.path:
|
29 |
sys.path.insert(0, str(CURRENT_DIR))
|
30 |
|
31 |
try:
|
32 |
import decorators
|
33 |
+
# Usa tu UI.py COMPLEJA ahora si la UI simplificada funcion贸.
|
34 |
+
# Si la UI simplificada es la que est谩 en uso, este import es correcto.
|
35 |
+
from UI import create_interface
|
36 |
import interface as app_interface_module
|
37 |
except ImportError as e:
|
38 |
+
print(f"Error cr铆tico de importaci贸n en app.py: {e}. Aseg煤rate de que todos los archivos .py est茅n en el mismo directorio o en PYTHONPATH.")
|
39 |
+
print(f"sys.path actual: {sys.path}")
|
40 |
sys.exit(1)
|
41 |
|
42 |
+
|
43 |
+
# La l贸gica del decorador dummy puede permanecer, es inofensiva
|
44 |
+
if decorators.was_real_spaces_gpu_imported():
|
45 |
+
print("INFO (app.py): El decorador GPU de 'spaces' parece estar disponible.")
|
46 |
+
print("INFO (app.py): Se definir谩 una funci贸n dummy decorada para satisfacer el chequeo de Gradio si es necesario.")
|
47 |
+
|
48 |
+
@decorators.gpu_decorator(duration=1)
|
49 |
+
def _app_py_dummy_gpu_function_for_gradio_startup():
|
50 |
+
pass
|
51 |
+
else:
|
52 |
+
print("INFO (app.py): El decorador GPU real de 'spaces' no fue importado. No se necesita funci贸n dummy para GPU.")
|
53 |
+
|
54 |
|
55 |
def main():
|
56 |
+
print("INFO (app.py): Creando la interfaz Gradio...")
|
57 |
+
# Aseg煤rate de que UI.py contiene tu interfaz completa ahora, o la simplificada si a煤n est谩s depurando.
|
58 |
+
demo_instance = create_interface(process_function_for_button=app_interface_module.process_and_plot)
|
59 |
|
60 |
print("INFO (app.py): Lanzando la interfaz Gradio localmente...")
|
61 |
try:
|