orbmol / app.py
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import gradio as gr
import torch
import numpy as np
import tempfile
import os
from ase.io import read
from ase import units
from ase.optimize import LBFGS
from ase.md.verlet import VelocityVerlet
from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
from ase.io.trajectory import Trajectory
import py3Dmol
from orb_models.forcefield import pretrained
from orb_models.forcefield.calculator import ORBCalculator
# -----------------------------
# Global OrbMol model
# -----------------------------
model_calc = None
def load_orbmol_model():
"""Load OrbMol model once"""
global model_calc
if model_calc is None:
try:
orbff = pretrained.orb_v3_conservative_inf_omat(
device="cpu",
precision="float32-high"
)
model_calc = ORBCalculator(orbff, device="cpu")
print("OrbMol model loaded successfully")
except Exception as e:
print(f"Error loading OrbMol model: {e}")
model_calc = None
return model_calc
# -----------------------------
# Single-point calculation
# -----------------------------
def predict_molecule(xyz_content, charge=0, spin_multiplicity=1):
try:
calc = load_orbmol_model()
if calc is None:
return "Error: Could not load OrbMol model", ""
if not xyz_content.strip():
return "Error: Please enter XYZ coordinates", ""
with tempfile.NamedTemporaryFile(mode='w', suffix='.xyz', delete=False) as f:
f.write(xyz_content)
xyz_file = f.name
atoms = read(xyz_file)
atoms.info = {"charge": int(charge), "spin": int(spin_multiplicity)}
atoms.calc = calc
energy = atoms.get_potential_energy()
forces = atoms.get_forces()
result = f"Total Energy: {energy:.6f} eV\n\nAtomic Forces:\n"
for i, f in enumerate(forces):
result += f"Atom {i+1}: [{f[0]:.4f}, {f[1]:.4f}, {f[2]:.4f}] eV/Å\n"
max_force = np.max(np.linalg.norm(forces, axis=1))
result += f"\nMax Force: {max_force:.4f} eV/Å"
os.unlink(xyz_file)
return result, "Calculation completed with OrbMol"
except Exception as e:
return f"Error during calculation: {str(e)}", "Error"
# -----------------------------
# Trajectory → HTML
# -----------------------------
def traj_to_html(traj_file):
traj = Trajectory(traj_file)
view = py3Dmol.view(width=400, height=400)
for atoms in traj:
symbols = atoms.get_chemical_symbols()
xyz = atoms.get_positions()
mol = ""
for s, (x, y, z) in zip(symbols, xyz):
mol += f"{s} {x} {y} {z}\n"
view.addModel(mol, "xyz")
view.setStyle({"stick": {}})
view.zoomTo()
view.animate({"loop": "forward"})
return view.render()
# -----------------------------
# MD simulation
# -----------------------------
def run_md(xyz_content, charge=0, spin_multiplicity=1, steps=100, temperature=300, timestep=1.0):
try:
calc = load_orbmol_model()
if calc is None:
return "Error: Could not load OrbMol model", ""
if not xyz_content.strip():
return "Error: Please enter XYZ coordinates", ""
with tempfile.NamedTemporaryFile(mode='w', suffix='.xyz', delete=False) as f:
f.write(xyz_content)
xyz_file = f.name
atoms = read(xyz_file)
atoms.info = {"charge": int(charge), "spin": int(spin_multiplicity)}
atoms.calc = calc
# Pre-relaxation
opt = LBFGS(atoms)
opt.run(fmax=0.05, steps=20)
# Initialize velocities
MaxwellBoltzmannDistribution(atoms, temperature_K=2 * temperature)
# Run MD
dyn = VelocityVerlet(atoms, timestep=timestep * units.fs)
traj_file = tempfile.NamedTemporaryFile(suffix=".traj", delete=False)
traj = Trajectory(traj_file.name, "w", atoms)
dyn.attach(traj.write, interval=1)
dyn.run(steps)
html = traj_to_html(traj_file.name)
os.unlink(xyz_file)
return f"MD completed: {steps} steps at {temperature} K", html
except Exception as e:
return f"Error during MD simulation: {str(e)}", ""
# -----------------------------
# Examples
# -----------------------------
examples = [
["""2
Hydrogen molecule
H 0.0 0.0 0.0
H 0.0 0.0 0.74""", 0, 1],
["""3
Water molecule
O 0.0000 0.0000 0.0000
H 0.7571 0.0000 0.5864
H -0.7571 0.0000 0.5864""", 0, 1],
["""5
Methane
C 0.0000 0.0000 0.0000
H 1.0890 0.0000 0.0000
H -0.3630 1.0267 0.0000
H -0.3630 -0.5133 0.8887
H -0.3630 -0.5133 -0.8887""", 0, 1]
]
# -----------------------------
# Gradio UI
# -----------------------------
with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
with gr.Tab("Single Point Energy"):
with gr.Row():
with gr.Column(scale=2):
with gr.Column(variant="panel"):
gr.Markdown("# OrbMol Demo - Quantum-Accurate Molecular Predictions")
xyz_input = gr.Textbox(label="XYZ Coordinates", lines=12, placeholder="Paste XYZ here")
with gr.Row():
charge_input = gr.Slider(value=0, label="Charge", minimum=-10, maximum=10, step=1)
spin_input = gr.Slider(value=1, maximum=11, minimum=1, step=1, label="Spin Multiplicity")
predict_btn = gr.Button("Run OrbMol Prediction", variant="primary", size="lg")
with gr.Column(variant="panel", min_width=500):
gr.Markdown("## Results")
results_output = gr.Textbox(label="Energy & Forces", lines=15, interactive=False)
status_output = gr.Textbox(label="Status", interactive=False, max_lines=1)
gr.Examples(examples=examples, inputs=[xyz_input, charge_input, spin_input])
predict_btn.click(
predict_molecule,
inputs=[xyz_input, charge_input, spin_input],
outputs=[results_output, status_output]
)
with gr.Tab("Molecular Dynamics"):
with gr.Row():
with gr.Column(scale=2):
xyz_input_md = gr.Textbox(label="XYZ Coordinates", lines=12)
charge_input_md = gr.Slider(value=0, minimum=-10, maximum=10, step=1, label="Charge")
spin_input_md = gr.Slider(value=1, minimum=1, maximum=11, step=1, label="Spin Multiplicity")
steps_input = gr.Slider(value=100, minimum=10, maximum=1000, step=10, label="Steps")
temp_input = gr.Slider(value=300, minimum=10, maximum=1000, step=10, label="Temperature (K)")
timestep_input = gr.Slider(value=1.0, minimum=0.1, maximum=5.0, step=0.1, label="Timestep (fs)")
run_md_btn = gr.Button("Run MD Simulation", variant="primary")
md_status = gr.Textbox(label="MD Status", lines=2)
with gr.Column(scale=1, variant="panel"):
gr.Markdown("## MD Visualization")
md_view = gr.HTML()
run_md_btn.click(
run_md,
inputs=[xyz_input_md, charge_input_md, spin_input_md, steps_input, temp_input, timestep_input],
outputs=[md_status, md_view],
)
print("Starting OrbMol model loading...")
load_orbmol_model()
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)