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multiple_model (#2)
Browse files- Added support for multiple pretrained models (OMol,OMat,OMol-Direct) (ba742371795a1f34a0014d9deb3f3700df9d9292)
Co-authored-by: Davide Sarpa <Nekkrad@users.noreply.huggingface.co>
- app.py +81 -23
- simulation_scripts_orbmol.py +37 -15
app.py
CHANGED
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@@ -6,6 +6,7 @@ import gradio as gr
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from ase.io import read, write
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from ase.io.trajectory import Trajectory
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from gradio_molecule3d import Molecule3D
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import hashlib
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import shutil
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@@ -110,22 +111,22 @@ def prepare_input_for_viewer(structure_file):
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from orb_models.forcefield import pretrained
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from orb_models.forcefield.calculator import ORBCalculator
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_MODEL_CALC = None
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def _load_orbmol_calc():
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global _MODEL_CALC
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if _MODEL_CALC is None:
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orbff = pretrained.orb_v3_conservative_inf_omat(
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device="cpu", precision="float32-high"
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)
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_MODEL_CALC = ORBCalculator(orbff, device="cpu")
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return _MODEL_CALC
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def predict_molecule(structure_file,
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"""
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Single Point Energy + fuerzas (OrbMol). Acepta archivos subidos.
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"""
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try:
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calc =
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if not structure_file:
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return "Error: Please upload a structure file", "Error", None
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@@ -151,7 +152,7 @@ def predict_molecule(structure_file, charge=0, spin_multiplicity=1):
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# Preparar PDB para visualización
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pdb_file = prepare_input_for_viewer(file_path)
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return "\n".join(lines), "Calculation completed with
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except Exception as e:
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import traceback; traceback.print_exc()
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return f"Error during calculation: {e}", "Error", None
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@@ -163,7 +164,7 @@ from simulation_scripts_orbmol import (
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)
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# ==== Wrappers con debug y Molecule3D ====
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def md_wrapper(structure_file, charge, spin, steps, tempK, timestep_fs, ensemble):
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try:
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if not structure_file:
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return ("Error: Please upload a structure file", None, "", "", "", None)
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@@ -178,6 +179,7 @@ def md_wrapper(structure_file, charge, spin, steps, tempK, timestep_fs, ensemble
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float(timestep_fs),
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float(tempK),
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"NVT" if ensemble == "NVT" else "NVE",
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int(charge),
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int(spin),
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)
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@@ -194,7 +196,7 @@ def md_wrapper(structure_file, charge, spin, steps, tempK, timestep_fs, ensemble
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import traceback; traceback.print_exc()
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return (f"Error: {e}", None, "", "", "", None)
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-
def relax_wrapper(structure_file, steps, fmax, charge, spin, relax_cell):
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try:
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if not structure_file:
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return ("Error: Please upload a structure file", None, "", "", "", None)
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@@ -206,6 +208,7 @@ def relax_wrapper(structure_file, steps, fmax, charge, spin, relax_cell):
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file_path,
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int(steps),
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float(fmax),
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int(charge),
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int(spin),
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bool(relax_cell),
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@@ -238,9 +241,17 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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with gr.Row():
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charge_input = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_input = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin Multiplicity")
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run_spe = gr.Button("Run OrbMol Prediction", variant="primary")
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with gr.Column(variant="panel", min_width=500):
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@@ -256,8 +267,18 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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}
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]
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)
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-
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-
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# -------- MD --------
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with gr.Tab("Molecular Dynamics"):
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@@ -271,6 +292,13 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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with gr.Row():
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charge_md = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_md = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin Multiplicity")
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@@ -303,10 +331,21 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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md_log = gr.Textbox(label="Log", interactive=False, lines=15, max_lines=25)
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md_script = gr.Code(label="Reproduction Script", language="python", interactive=False, lines=20, max_lines=30)
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md_explain = gr.Markdown()
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run_md_btn.click(
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md_wrapper,
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inputs=[xyz_md, charge_md, spin_md, steps_md, temp_md, timestep_md, ensemble_md],
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outputs=[md_status, md_traj, md_log, md_script, md_explain, md_viewer],
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)
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@@ -322,8 +361,16 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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-
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-
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with gr.Row():
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charge_rlx = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_rlx = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin")
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@@ -352,14 +399,25 @@ with gr.Blocks(theme=gr.themes.Ocean(), title="OrbMol Demo") as demo:
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rlx_script = gr.Code(label="Reproduction Script", language="python", interactive=False, lines=20, max_lines=30)
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rlx_explain = gr.Markdown()
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run_rlx_btn.click(
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relax_wrapper,
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inputs=[xyz_rlx, steps_rlx, fmax_rlx, charge_rlx, spin_rlx, relax_cell],
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outputs=[rlx_status, rlx_traj, rlx_log, rlx_script, rlx_explain, rlx_viewer],
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)
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print("Starting OrbMol model loading…")
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_ =
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
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from ase.io import read, write
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from ase.io.trajectory import Trajectory
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from gradio_molecule3d import Molecule3D
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from simulation_scripts_orbmol import load_orbmol_model # CORREGIDO
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import hashlib
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import shutil
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from orb_models.forcefield import pretrained
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from orb_models.forcefield.calculator import ORBCalculator
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#_MODEL_CALC = None
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#def _load_orbmol_calc():
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# global _MODEL_CALC
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# if _MODEL_CALC is None:
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# orbff = pretrained.orb_v3_conservative_inf_omat(
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# device="cpu", precision="float32-high"
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# )
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# _MODEL_CALC = ORBCalculator(orbff, device="cpu")
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# return _MODEL_CALC
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def predict_molecule(structure_file,task_name,charge=0, spin_multiplicity=1):
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"""
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Single Point Energy + fuerzas (OrbMol). Acepta archivos subidos.
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"""
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try:
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calc = load_orbmol_model(task_name)
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if not structure_file:
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return "Error: Please upload a structure file", "Error", None
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# Preparar PDB para visualización
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pdb_file = prepare_input_for_viewer(file_path)
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return "\n".join(lines), f"Calculation completed with {task_name}", pdb_file
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except Exception as e:
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import traceback; traceback.print_exc()
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return f"Error during calculation: {e}", "Error", None
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)
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# ==== Wrappers con debug y Molecule3D ====
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def md_wrapper(structure_file,task_name, charge, spin, steps, tempK, timestep_fs, ensemble):
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try:
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if not structure_file:
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return ("Error: Please upload a structure file", None, "", "", "", None)
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float(timestep_fs),
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float(tempK),
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"NVT" if ensemble == "NVT" else "NVE",
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str(task_name),
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int(charge),
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int(spin),
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)
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import traceback; traceback.print_exc()
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return (f"Error: {e}", None, "", "", "", None)
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def relax_wrapper(structure_file,task_name, steps, fmax, charge, spin, relax_cell):
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try:
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if not structure_file:
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return ("Error: Please upload a structure file", None, "", "", "", None)
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file_path,
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int(steps),
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float(fmax),
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str(task_name),
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int(charge),
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int(spin),
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bool(relax_cell),
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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with gr.Row():
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task_name = gr.Radio(
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["OMol", "OMat", "OMol-Direct"],
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value="OMol",
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label="Model Type",
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info="Choose the OrbMol model variant for the calculation."
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)
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with gr.Row():
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charge_input = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_input = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin Multiplicity")
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run_spe = gr.Button("Run OrbMol Prediction", variant="primary")
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with gr.Column(variant="panel", min_width=500):
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}
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]
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)
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# Charge and Spin are only applicable to OMol and OMol-Direct
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task_name.input(
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lambda x: (
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(gr.Number(visible=True), gr.Number(visible=True))
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if x == "OMol" or x == "OMol-Direct"
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else (gr.Number(visible=False), gr.Number(visible=False))
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),
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[task_name],
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[charge_input, spin_input],
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)
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run_spe.click(predict_molecule, [xyz_input, task_name,charge_input, spin_input], [spe_out, spe_status, spe_viewer])
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# -------- MD --------
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with gr.Tab("Molecular Dynamics"):
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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with gr.Row():
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task_name = gr.Radio(
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["OMol", "OMat", "OMol-Direct"],
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value="OMol",
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label="Model Type",
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info="Choose the OrbMol model variant for the calculation."
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)
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with gr.Row():
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charge_md = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_md = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin Multiplicity")
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md_log = gr.Textbox(label="Log", interactive=False, lines=15, max_lines=25)
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md_script = gr.Code(label="Reproduction Script", language="python", interactive=False, lines=20, max_lines=30)
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md_explain = gr.Markdown()
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# Charge and Spin are only applicable to OMol and OMol-Direct
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task_name.input(
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lambda x: (
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(gr.Number(visible=True), gr.Number(visible=True))
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if x == "OMol" or x == "OMol-Direct"
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else (gr.Number(visible=False), gr.Number(visible=False))
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),
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[task_name],
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[charge_md, spin_md],
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)
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run_md_btn.click(
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md_wrapper,
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inputs=[xyz_md, task_name,charge_md, spin_md, steps_md, temp_md, timestep_md, ensemble_md],
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outputs=[md_status, md_traj, md_log, md_script, md_explain, md_viewer],
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)
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file_types=[".xyz", ".pdb", ".cif", ".traj", ".mol", ".sdf"],
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file_count="single"
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)
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with gr.Row():
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task_name = gr.Radio(
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["OMol", "OMat", "OMol-Direct"],
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value="OMol",
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label="Model Type",
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info="Choose the OrbMol model variant for the calculation."
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)
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with gr.Row():
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steps_rlx = gr.Slider(minimum=1, maximum=2000, value=300, step=1, label="Max Steps")
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fmax_rlx = gr.Slider(minimum=0.001, maximum=0.5, value=0.05, step=0.001, label="Fmax (eV/Å)")
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with gr.Row():
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charge_rlx = gr.Slider(minimum=-10, maximum=10, value=0, step=1, label="Charge")
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spin_rlx = gr.Slider(minimum=1, maximum=11, value=1, step=1, label="Spin")
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rlx_script = gr.Code(label="Reproduction Script", language="python", interactive=False, lines=20, max_lines=30)
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rlx_explain = gr.Markdown()
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# Charge and Spin are only applicable to OMol and OMol-Direct
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task_name.input(
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lambda x: (
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(gr.Number(visible=True), gr.Number(visible=True))
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if x == "OMol" or x == "OMol-Direct"
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else (gr.Number(visible=False), gr.Number(visible=False))
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),
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[task_name],
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[charge_rlx, spin_rlx],
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)
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run_rlx_btn.click(
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relax_wrapper,
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inputs=[xyz_rlx,task_name, steps_rlx, fmax_rlx, charge_rlx, spin_rlx, relax_cell],
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outputs=[rlx_status, rlx_traj, rlx_log, rlx_script, rlx_explain, rlx_viewer],
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)
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print("Starting OrbMol model loading…")
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#_ = load_orbmol_model(task_name)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
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simulation_scripts_orbmol.py
CHANGED
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# Global model
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# -----------------------------
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_model_calc: ORBCalculator | None = None
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_model_calc = ORBCalculator(orbff, device=device)
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return _model_calc
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# -----------------------------
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md_timestep,
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temperature_k,
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md_ensemble,
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-
task_name
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total_charge=0,
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spin_multiplicity=1,
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explanation: str | None = None,
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atoms.info["spin"] = spin_multiplicity
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# AQUÍ EL CAMBIO: OrbMol en lugar de HFEndpointCalculator
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calc = load_orbmol_model()
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atoms.calc = calc
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# Progress callback si existe
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@@ -164,6 +185,7 @@ def run_md_simulation(
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dyn.run(num_steps)
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# Script de reproducción (estilo Facebook pero con OrbMol)
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reproduction_script = f"""
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import ase.io
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from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
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@@ -181,7 +203,7 @@ atoms = ase.io.read('input_file.traj')
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atoms.info["charge"] = {total_charge}
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atoms.info["spin"] = {spin_multiplicity}
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# Set up the OrbMol calculator
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-
orbff = pretrained.
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atoms.calc = ORBCalculator(orbff, device='cpu')
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# Do a quick pre-relaxation to make sure the system is stable
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opt = LBFGS(atoms, trajectory="relaxation_output.traj")
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@@ -227,7 +249,7 @@ def run_relaxation_simulation(
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structure_file,
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num_steps,
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fmax,
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task_name
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total_charge: float = 0,
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spin_multiplicity: float = 1,
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relax_unit_cell=False,
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@@ -252,7 +274,7 @@ def run_relaxation_simulation(
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atoms.info["spin"] = spin_multiplicity
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# AQUÍ EL CAMBIO: OrbMol en lugar de HFEndpointCalculator
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-
calc = load_orbmol_model()
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atoms.calc = calc
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# Archivos temporales
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@@ -294,7 +316,7 @@ atoms = ase.io.read('input_file.traj')
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atoms.info["charge"] = {total_charge}
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atoms.info["spin"] = {spin_multiplicity}
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# Set up the OrbMol calculator
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orbff = pretrained.
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atoms.calc = ORBCalculator(orbff, device='cpu')
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# Initialize the optimizer
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relax_unit_cell = {relax_unit_cell}
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# Global model
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# -----------------------------
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_model_calc: ORBCalculator | None = None
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+
_current_task_name = None
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# Necesario para script de reproducción
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model_name = {
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"OMol": "orb_v3_conservative_omol",
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"OMat": "orb_v3_conservative_inf_omat",
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"OMol-Direct": "orb_v3_direct_omol"}
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def load_orbmol_model(task_name,device: str = "cpu", precision: str = "float32-high") -> ORBCalculator:
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"""Load OrbMol calculator, switches only if another model is required."""
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global _model_calc, _current_task_name
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if _model_calc is None or _current_task_name != task_name:
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if task_name == "OMol":
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orbff= pretrained.orb_v3_conservative_omol(
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device=device,
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precision=precision,
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)
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elif task_name == "OMat":
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orbff = pretrained.orb_v3_conservative_inf_omat(
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device=device,
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precision=precision,
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)
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elif task_name == "OMol-Direct":
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orbff = pretrained.orb_v3_direct_omol(
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device=device,
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precision=precision,
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)
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else:
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raise ValueError(f"Unknown task_name: {task_name}")
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_model_calc = ORBCalculator(orbff, device=device)
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_current_task_name = task_name
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return _model_calc
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# -----------------------------
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md_timestep,
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temperature_k,
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md_ensemble,
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task_name,
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total_charge=0,
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spin_multiplicity=1,
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explanation: str | None = None,
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atoms.info["spin"] = spin_multiplicity
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# AQUÍ EL CAMBIO: OrbMol en lugar de HFEndpointCalculator
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calc = load_orbmol_model(task_name)
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atoms.calc = calc
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# Progress callback si existe
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dyn.run(num_steps)
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# Script de reproducción (estilo Facebook pero con OrbMol)
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+
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reproduction_script = f"""
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import ase.io
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from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
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atoms.info["charge"] = {total_charge}
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atoms.info["spin"] = {spin_multiplicity}
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# Set up the OrbMol calculator
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orbff = pretrained.{model_name[task_name]}(device='cpu', precision='float32-high')
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atoms.calc = ORBCalculator(orbff, device='cpu')
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# Do a quick pre-relaxation to make sure the system is stable
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opt = LBFGS(atoms, trajectory="relaxation_output.traj")
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structure_file,
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num_steps,
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fmax,
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task_name,
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total_charge: float = 0,
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spin_multiplicity: float = 1,
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relax_unit_cell=False,
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atoms.info["spin"] = spin_multiplicity
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# AQUÍ EL CAMBIO: OrbMol en lugar de HFEndpointCalculator
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+
calc = load_orbmol_model(task_name)
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atoms.calc = calc
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# Archivos temporales
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atoms.info["charge"] = {total_charge}
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atoms.info["spin"] = {spin_multiplicity}
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# Set up the OrbMol calculator
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+
orbff = pretrained.{model_name[task_name]}(device='cpu', precision='float32-high')
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atoms.calc = ORBCalculator(orbff, device='cpu')
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# Initialize the optimizer
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relax_unit_cell = {relax_unit_cell}
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