File size: 2,355 Bytes
b327bba d136fb1 b327bba 4cc69fa b327bba 1f14419 81c8a55 b327bba d136fb1 81c8a55 b327bba 81c8a55 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | from pathlib import Path
from typing import Optional
from uuid import uuid4
import hashlib
import json
import gradio as gr
from modal_app import app, chai1_inference, download_inference_dependencies, here
def compute_Chai1(
force_redownload: bool = False,
fasta_file: Optional[str] = None,
inference_config_file: Optional[str] = None,
output_dir: Optional[str] = None,
run_id: Optional[str] = None,
):
"""Compute a Chai1 simulation.
Args:
x (float | int): The number to square.
Returns:
float: The square of the input number.
"""
with app.run():
print("🧬 checking inference dependencies")
download_inference_dependencies.remote(force=force_redownload)
if fasta_file is None:
fasta_file = here / "inputs" / "chai1_default_input.fasta"
print(f"🧬 running Chai inference on {fasta_file}")
fasta_content = Path(fasta_file).read_text()
if inference_config_file is None:
inference_config_file = here / "inputs" / "chai1_quick_inference.json"
print(f"🧬 loading Chai inference config from {inference_config_file}")
inference_config = json.loads(Path(inference_config_file).read_text())
if run_id is None:
run_id = hashlib.sha256(uuid4().bytes).hexdigest()[:8] # short id
print(f"🧬 running inference with {run_id=}")
results = chai1_inference.remote(fasta_content, inference_config, run_id)
if output_dir is None:
output_dir = Path("./results")
output_dir.mkdir(parents=True, exist_ok=True)
print(f"🧬 saving results to disk locally in {output_dir}")
for ii, (scores, cif) in enumerate(results):
(Path(output_dir) / f"{run_id}-scores.model_idx_{ii}.npz").write_bytes(scores)
(Path(output_dir) / f"{run_id}-preds.model_idx_{ii}.cif").write_text(cif)
# Create a standard Gradio interface
demo = gr.Interface(
fn=compute_Chai1,
inputs=gr.Number(label="Enter a number"),
outputs=gr.Number(label="Square of the number"),
title="Compute Square using Modal",
description="Enter a number to compute its square using a remote Modal function."
)
# Launch both the Gradio web interface and the MCP server
if __name__ == "__main__":
demo.launch(mcp_server=True)
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