Biotech2 / UI.py
C2MV's picture
Create UI.py
f3f77c0 verified
raw
history blame
6.26 kB
# UI.py
import gradio as gr
def create_interface(process_and_plot):
with gr.Blocks() as demo:
gr.Markdown("# Bioprocess Modeling Application with Yi-Coder Integration")
file_input = gr.File(label="Upload Excel File")
MAX_EQUATIONS = 3
biomass_equations = []
biomass_params = []
biomass_bounds = []
substrate_equations = []
substrate_params = []
substrate_bounds = []
product_equations = []
product_params = []
product_bounds = []
def create_model_inputs(model_name, equations_list, params_list, bounds_list):
with gr.Column():
gr.Markdown(f"### {model_name} Models")
for i in range(MAX_EQUATIONS):
with gr.Row(visible=(i == 0)) as row:
equation_input = gr.Textbox(
label=f"{model_name} Model {i+1} Equation",
placeholder="Enter equation in terms of t and parameters",
lines=1,
value="" if i > 0 else "Predefined equation"
)
params_input = gr.Textbox(
label=f"{model_name} Model {i+1} Parameters",
placeholder="Comma-separated parameters",
lines=1,
value="" if i > 0 else "Parameters"
)
bounds_input = gr.Textbox(
label=f"{model_name} Model {i+1} Bounds",
placeholder="(lower, upper) for each parameter",
lines=1
)
equations_list.append((row, equation_input))
params_list.append(params_input)
bounds_list.append(bounds_input)
add_btn = gr.Button(f"Add {model_name} Equation")
remove_btn = gr.Button(f"Remove {model_name} Equation")
return add_btn, remove_btn
with gr.Accordion("Model Definitions", open=True):
with gr.Row():
with gr.Column():
add_biomass_btn, remove_biomass_btn = create_model_inputs(
"Biomass", biomass_equations, biomass_params, biomass_bounds
)
with gr.Column():
add_substrate_btn, remove_substrate_btn = create_model_inputs(
"Substrate", substrate_equations, substrate_params, substrate_bounds
)
with gr.Column():
add_product_btn, remove_product_btn = create_model_inputs(
"Product", product_equations, product_params, product_bounds
)
legend_position = gr.Radio(
choices=["upper left", "upper right", "lower left", "lower right", "best"],
label="Legend Position",
value="best"
)
show_legend = gr.Checkbox(label="Show Legend", value=True)
show_params = gr.Checkbox(label="Show Parameters", value=True)
simulate_btn = gr.Button("Simulate")
with gr.Row():
output_gallery = gr.Gallery(label="Results", columns=2, height='auto')
analysis_output = gr.Textbox(label="Yi-Coder Analysis", lines=15)
biomass_eq_count = gr.State(1)
substrate_eq_count = gr.State(1)
product_eq_count = gr.State(1)
def add_equation(equations_list, eq_count):
eq_count = min(eq_count + 1, MAX_EQUATIONS)
for i, (row, _) in enumerate(equations_list):
row.visible = i < eq_count
return [row.update(visible=row.visible) for row, _ in equations_list], eq_count
def remove_equation(equations_list, eq_count):
eq_count = max(eq_count - 1, 1)
for i, (row, _) in enumerate(equations_list):
row.visible = i < eq_count
return [row.update(visible=row.visible) for row, _ in equations_list], eq_count
add_biomass_btn.click(
fn=lambda eq_count: add_equation(biomass_equations, eq_count),
inputs=biomass_eq_count,
outputs=[*[row for row, _ in biomass_equations], biomass_eq_count]
)
remove_biomass_btn.click(
fn=lambda eq_count: remove_equation(biomass_equations, eq_count),
inputs=biomass_eq_count,
outputs=[*[row for row, _ in biomass_equations], biomass_eq_count]
)
add_substrate_btn.click(
fn=lambda eq_count: add_equation(substrate_equations, eq_count),
inputs=substrate_eq_count,
outputs=[*[row for row, _ in substrate_equations], substrate_eq_count]
)
remove_substrate_btn.click(
fn=lambda eq_count: remove_equation(substrate_equations, eq_count),
inputs=substrate_eq_count,
outputs=[*[row for row, _ in substrate_equations], substrate_eq_count]
)
add_product_btn.click(
fn=lambda eq_count: add_equation(product_equations, eq_count),
inputs=product_eq_count,
outputs=[*[row for row, _ in product_equations], product_eq_count]
)
remove_product_btn.click(
fn=lambda eq_count: remove_equation(product_equations, eq_count),
inputs=product_eq_count,
outputs=[*[row for row, _ in product_equations], product_eq_count]
)
simulate_inputs = [
file_input,
biomass_equations,
biomass_params,
biomass_bounds,
substrate_equations,
substrate_params,
substrate_bounds,
product_equations,
product_params,
product_bounds,
legend_position,
show_legend,
show_params,
biomass_eq_count,
substrate_eq_count,
product_eq_count
]
simulate_btn.click(
fn=process_and_plot,
inputs=simulate_inputs,
outputs=[output_gallery, analysis_output]
)
return demo