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UI.py
CHANGED
@@ -1,23 +1,14 @@
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# UI.py
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import gradio as gr
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# La importaci贸n de process_and_plot ya no es necesaria aqu铆,
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# la funci贸n de procesamiento se pasar谩 como argumento a create_interface.
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def create_interface(process_function_for_button):
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Esta funci贸n crea la interfaz de usuario y la devuelve.
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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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with gr.Blocks(theme='upsatwal/mlsc_tiet') as demo: # O usa gr.themes.Soft() o tu theme preferido
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gr.Markdown("# Modelado de Bioprocesos con Ecuaciones Personalizadas y An谩lisis por IA")
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### Carga de Datos y Configuraci贸n General")
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file_input = gr.File(label="Subir archivo Excel (.xlsx)", file_types=[".xlsx"])
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-
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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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@@ -31,34 +22,30 @@ def create_interface(process_function_for_button):
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substrate_eq_count_ui = gr.Number(label="Sustrato (1-3)", value=1, minimum=1, maximum=3, precision=0, step=1)
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product_eq_count_ui = gr.Number(label="Producto (1-3)", value=1, minimum=1, maximum=3, precision=0, step=1)
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# --- Secci贸n de Biomasa ---
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with gr.Accordion("Ecuaciones y Par谩metros de Biomasa", open=True):
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with gr.Row():
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with gr.Column():
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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, placeholder="Ej: Xm * (1 - exp(-um * (t - t_lag)))")
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biomass_param1_ui = gr.Textbox(label="Par谩metros Biomasa 1", value="Xm, um, t_lag", info="Nombres de par谩metros, coma sep. Use 't' para tiempo. 'X_val' para X(t) en S/P.")
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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)", info="Formato: (low,high) para cada param. Use np.inf.")
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# Columna
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biomass_col2
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with biomass_col2:
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biomass_eq2_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 2", value="X0 * exp(um * t)", lines=2)
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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
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biomass_col3
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with biomass_col3:
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biomass_eq3_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 3", lines=2)
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biomass_param3_ui = gr.Textbox(label="Par谩metros Biomasa 3")
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biomass_bound3_ui = gr.Textbox(label="L铆mites Biomasa 3")
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# --- Secci贸n de Sustrato ---
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with gr.Accordion("Ecuaciones y Par谩metros de Sustrato", open=True):
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gr.Markdown("Para
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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)")
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substrate_col2 = gr.Column(visible=False)
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with substrate_col2:
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substrate_eq2_ui = gr.Textbox(label="Ecuaci贸n de Sustrato 2", lines=2)
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substrate_param3_ui = gr.Textbox(label="Par谩metros Sustrato 3")
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substrate_bound3_ui = gr.Textbox(label="L铆mites Sustrato 3")
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# --- Secci贸n de Producto ---
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with gr.Accordion("Ecuaciones y Par谩metros de Producto", open=True):
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with gr.Row():
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with gr.Column():
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product_param3_ui = gr.Textbox(label="Par谩metros Producto 3")
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product_bound3_ui = gr.Textbox(label="L铆mites Producto 3")
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def update_visibility_fn(count):
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return gr.Column(visible=count >= 2), gr.Column(visible=count >= 3)
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biomass_eq_count_ui.change(fn=
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substrate_eq_count_ui.change(fn=
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product_eq_count_ui.change(fn=
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submit_button = gr.Button("Procesar y Analizar", variant="primary", scale=1)
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@@ -105,7 +89,6 @@ def create_interface(process_function_for_button):
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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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@@ -124,26 +107,23 @@ def create_interface(process_function_for_button):
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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,
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inputs=all_inputs_for_button,
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outputs=outputs_for_button
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)
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# Inicializar
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)
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demo.load(
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fn=
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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, biomass_col3,
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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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with gr.Blocks(theme='upsatwal/mlsc_tiet') as demo:
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gr.Markdown("# Modelado de Bioprocesos con Ecuaciones Personalizadas y An谩lisis por IA")
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### Carga de Datos y Configuraci贸n General")
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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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substrate_eq_count_ui = gr.Number(label="Sustrato (1-3)", value=1, minimum=1, maximum=3, precision=0, step=1)
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product_eq_count_ui = gr.Number(label="Producto (1-3)", value=1, minimum=1, maximum=3, precision=0, step=1)
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with gr.Accordion("Ecuaciones y Par谩metros de Biomasa", open=True):
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with gr.Row():
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with gr.Column():
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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, placeholder="Ej: Xm * (1 - exp(-um * (t - t_lag)))")
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biomass_param1_ui = gr.Textbox(label="Par谩metros Biomasa 1", value="Xm, um, t_lag", info="Nombres de par谩metros, coma sep. Use 't' para tiempo. 'X_val' para X(t) en S/P.")
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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)", info="Formato: (low,high) para cada param. Use np.inf.")
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biomass_col2 = gr.Column(visible=False) # Columna para la segunda ecuaci贸n de biomasa
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with biomass_col2: # Contenido de la columna 2
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biomass_eq2_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 2", value="X0 * exp(um * t)", lines=2)
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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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biomass_col3 = gr.Column(visible=False) # Columna para la tercera ecuaci贸n de biomasa
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with biomass_col3: # Contenido de la columna 3
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biomass_eq3_ui = gr.Textbox(label="Ecuaci贸n de Biomasa 3", lines=2)
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biomass_param3_ui = gr.Textbox(label="Par谩metros Biomasa 3")
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biomass_bound3_ui = gr.Textbox(label="L铆mites Biomasa 3")
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with gr.Accordion("Ecuaciones y Par谩metros de Sustrato", open=True):
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gr.Markdown("Para Sustrato/Producto, usa `X_val` para X(t). Ejemplo: `S0 - (X_val / YXS)` donde YXS es un par谩metro.")
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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)")
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substrate_col2 = gr.Column(visible=False)
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with substrate_col2:
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substrate_eq2_ui = gr.Textbox(label="Ecuaci贸n de Sustrato 2", lines=2)
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substrate_param3_ui = gr.Textbox(label="Par谩metros Sustrato 3")
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substrate_bound3_ui = gr.Textbox(label="L铆mites Sustrato 3")
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with gr.Accordion("Ecuaciones y Par谩metros de Producto", open=True):
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with gr.Row():
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with gr.Column():
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product_param3_ui = gr.Textbox(label="Par谩metros Producto 3")
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product_bound3_ui = gr.Textbox(label="L铆mites Producto 3")
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def update_visibility_gradio(count):
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return gr.update(visible=count >= 2), gr.update(visible=count >= 3)
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biomass_eq_count_ui.change(fn=update_visibility_gradio, inputs=biomass_eq_count_ui, outputs=[biomass_col2, biomass_col3])
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substrate_eq_count_ui.change(fn=update_visibility_gradio, inputs=substrate_eq_count_ui, outputs=[substrate_col2, substrate_col3])
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product_eq_count_ui.change(fn=update_visibility_gradio, inputs=product_eq_count_ui, outputs=[product_col2, product_col3])
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submit_button = gr.Button("Procesar y Analizar", variant="primary", scale=1)
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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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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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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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submit_button.click(
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fn=process_function_for_button,
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inputs=all_inputs_for_button,
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outputs=outputs_for_button
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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(b_c, s_c, p_c):
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b_vis2_update, b_vis3_update = update_visibility_gradio(b_c)
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s_vis2_update, s_vis3_update = update_visibility_gradio(s_c)
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p_vis2_update, p_vis3_update = update_visibility_gradio(p_c)
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return b_vis2_update, b_vis3_update, s_vis2_update, s_vis3_update, p_vis2_update, p_vis3_update
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demo.load(
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fn=set_initial_visibility_on_load,
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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, biomass_col3,
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app.py
CHANGED
@@ -2,48 +2,46 @@
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import sys
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from pathlib import Path
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# A帽adir el directorio actual al path para asegurar que se encuentran los m贸dulos locales
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# como UI, interface, decorators, config, models.
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CURRENT_DIR = Path(__file__).parent
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if str(CURRENT_DIR) not in sys.path:
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sys.path.insert(0, str(CURRENT_DIR))
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# Ahora que el path est谩 configurado, podemos importar los m贸dulos locales.
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try:
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import decorators
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from UI import create_interface
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import interface as app_interface_module
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except ImportError as e:
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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.")
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sys.exit(1)
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-
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print("INFO (app.py): El decorador GPU de 'spaces' parece estar disponible (o es un stub).")
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print("INFO (app.py): Se definir谩 una funci贸n dummy decorada para satisfacer el chequeo de Gradio.")
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@decorators.gpu_decorator(duration=1)
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def _app_py_dummy_gpu_function_for_gradio_startup():
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"""Esta funci贸n es solo para satisfacer el chequeo de Gradio."""
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# print("Funci贸n dummy GPU de app.py ejecutada (no deber铆a hacer nada).")
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pass
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else:
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print("INFO (app.py): El decorador GPU real de 'spaces' no fue importado. No se necesita funci贸n dummy para GPU.")
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def main():
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# Pasa la funci贸n de procesamiento real (process_and_plot) a create_interface
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# app_interface_module.process_and_plot es la funci贸n que queremos que el bot贸n llame.
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print("INFO (app.py): Creando la interfaz Gradio...")
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demo_instance = create_interface(process_function_for_button=app_interface_module.process_and_plot)
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print("INFO (app.py): Lanzando la interfaz Gradio localmente...")
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#
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#
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if __name__ == "__main__":
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main()
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import sys
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from pathlib import Path
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CURRENT_DIR = Path(__file__).parent
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if str(CURRENT_DIR) not in sys.path:
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sys.path.insert(0, str(CURRENT_DIR))
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try:
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import decorators # Importa tu archivo decorators.py
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from UI import create_interface
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import interface as app_interface_module
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except ImportError as e:
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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.")
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sys.exit(1)
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+
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if decorators.was_real_spaces_gpu_imported(): # Usa la funci贸n de decorators.py
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print("INFO (app.py): El decorador GPU de 'spaces' parece estar disponible.")
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print("INFO (app.py): Se definir谩 una funci贸n dummy decorada para satisfacer el chequeo de Gradio si es necesario.")
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@decorators.gpu_decorator(duration=1)
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def _app_py_dummy_gpu_function_for_gradio_startup():
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pass
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else:
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print("INFO (app.py): El decorador GPU real de 'spaces' no fue importado. No se necesita funci贸n dummy para GPU.")
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def main():
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print("INFO (app.py): Creando la interfaz Gradio...")
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demo_instance = create_interface(process_function_for_button=app_interface_module.process_and_plot)
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print("INFO (app.py): Lanzando la interfaz Gradio localmente...")
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# Si el error de localhost persiste, prueba con share=True
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# Esto es m谩s probable si est谩s en un entorno contenedorizado incluso para "local"
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try:
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demo_instance.launch()
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except ValueError as ve:
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if "shareable link must be created" in str(ve):
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print("ADVERTENCIA (app.py): Fall贸 el lanzamiento local directo, intentando con share=True...")
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demo_instance.launch(share=True)
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else:
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raise ve
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if __name__ == "__main__":
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main()
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