update

pages/{page_for_free_compose.py → design.py}

@@ -85,7 +85,7 @@ with contextlib.redirect_stdout(None):
 def composeSample(composed_cond,output,**kwargs):
 
     protein, trajectories = chroma.sample(chain_lengths=[100],
-        conditioner=composed_cond,**kwargs)
+        conditioner=composed_cond,full_output=True,**kwargs)
     
     render(protein, trajectories, output=output)
 
@@ -169,28 +169,28 @@ def selectBackboneArgs():
     
     parameters={}
     if 'steps' in options:
-        parameters['steps']=container.number_input(min_value=150,max_value=500,step=50,value=200,key='steps_sample')
+        parameters['steps']=container.number_input("",min_value=150,max_value=500,step=50,value=200,key='steps_sample')
     if 'samples' in options:
-        parameters['samples']=container.number_input(min_value=1,max_value=5,value=1,step=1,key='samples')
+        parameters['samples']=container.number_input("",min_value=1,max_value=5,value=1,step=1,key='samples')
     if 'chain_lengths' in options:
-        parameters['chain_lengths'] = container.number_input(min_value=50,max_value=350, step=50,value=100,key='chain_lengths')
+        parameters['chain_lengths'] = container.number_input("",min_value=50,max_value=350, step=50,value=100,key='chain_lengths')
     
     if 'tspan' in options:
         parameters['tspan'] = container.slider('Select time span', min_value=0.001, max_value=1.0, value=(1.0, 0.001),step=0.001)
 
     if 'langevin_factor' in options:
-        parameters['langevin_factor'] = container.number_input(min_value=1.0, max_value=5.0, value=2.0, step=1,
+        parameters['langevin_factor'] = container.number_input("",min_value=1.0, max_value=5.0, value=2.0, step=1,
                                                                key='langevin_factor')
 
     if 'langevin_isothermal' in options:
-        parameters['langevin_isothermal'] = container.checkbox(value=False)
+        parameters['langevin_isothermal'] = container.checkbox("",value=False)
 
     if 'inverse_temperature' in options:
-        parameters['inverse_temperature'] = container.number_input(min_value=0, max_value=40, value=10, step=2,
+        parameters['inverse_temperature'] = container.number_input("",min_value=0, max_value=40, value=10, step=2,
                                                                    key='inverse_temperature')
 
     if 'initialize_noise' in options:
-        parameters['initialize_noise'] = container.checkbox(value=True)
+        parameters['initialize_noise'] = container.checkbox("",value=True)
 
     if 'integrate_func' in options:
         parameters['integrate_func'] = container.selectbox('Select Integration Function', ['euler_maruyama', 'heun'],
@@ -200,7 +200,7 @@ def selectBackboneArgs():
         parameters['sde_func'] = container.selectbox('Select SDE Function', ['langevin', 'reverse_sde', 'ode'], index=0)
 
     if 'trajectory_length' in options:
-        parameters['trajectory_length'] = container.number_input(min_value=50, max_value=300, value=200, step=50,
+        parameters['trajectory_length'] = container.number_input("",min_value=50, max_value=300, value=200, step=50,
                                                                 key='trajectory_length')
 
     if 'protein_init' in options: