Instructions to use openpecha/aligner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openpecha/aligner with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("openpecha/aligner") model = AutoModelForSeq2SeqLM.from_pretrained("openpecha/aligner") - Notebooks
- Google Colab
- Kaggle
File size: 11,750 Bytes
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from typing import Dict, List, Any
import os
import json
import logging
import sys
import tempfile
import time
from pathlib import Path
import re
import shutil
import stat
import subprocess
import uuid
from contextlib import contextmanager
import requests
logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
# Git clone command
git_clone_command = "git clone https://github.com/TenzinGayche/bertalign.git"
# Run the command using subprocess
try:
subprocess.run(git_clone_command, shell=True, check=True)
print("Git clone successful!")
except subprocess.CalledProcessError as e:
print(f"Error while running Git clone command: {e}")
from bertalign import Bertalign
import requests
GITHUB_USERNAME = "pechawa"
GITHUB_ACCESS_TOKEN = "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"
GITHUB_TOKEN = "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"
GITHUB_EMAIL = "openpecha-bot@openpecha.org"
GITHUB_ORG = "MonlamAI"
MAI_TM_PUBLISH_TODO_REPO = "MonlamAI_TMs_Publish_TODO"
GITHUB_API_ENDPOINT = f"https://api.github.com/orgs/{GITHUB_ORG}/repos"
DEBUG = True
quiet = "-q" if DEBUG else ""
import subprocess
import logging
def create_github_repo(repo_path: Path, repo_name: str, version: str, realign: bool):
logging.info("[INFO] Creating GitHub repo...")
# Configure git users
subprocess.run(f"git config --global user.name {GITHUB_USERNAME}".split())
subprocess.run(f"git config --global user.email {GITHUB_EMAIL}".split())
# Initialize a Git repository
subprocess.run(f"git init".split(), cwd=str(repo_path))
# Add files and check if there are changes to commit
subprocess.run("git add .".split(), cwd=str(repo_path))
status_result = subprocess.run("git status --porcelain".split(), cwd=str(repo_path), capture_output=True)
if status_result.stdout:
commit_message = "Initial commit" if not realign else f"Commit for version {version}"
subprocess.run(f"git commit -m".split() + [commit_message], cwd=str(repo_path))
else:
logging.info("No changes to commit.")
# Check if realigning
if realign:
if version:
# Checkout the new branch
subprocess.run(f"git checkout -b {version}".split(), cwd=str(repo_path))
else:
logging.error("Version not specified for realignment.")
return
else:
# Create and checkout main branch if it doesn't exist
subprocess.run("git branch -m main".split(), cwd=str(repo_path))
subprocess.run("git checkout main".split(), cwd=str(repo_path))
# Create a new repository on GitHub
response = requests.post(
GITHUB_API_ENDPOINT,
json={
"name": repo_name,
"private": True,
},
auth=(GITHUB_USERNAME, GITHUB_ACCESS_TOKEN),
)
response.raise_for_status()
time.sleep(3)
# Add the GitHub remote to the local Git repository
remote_url = f"https://{GITHUB_USERNAME}:{GITHUB_ACCESS_TOKEN}@github.com/{GITHUB_ORG}/{repo_name}.git"
subprocess.run(
f"git remote add origin {remote_url}", cwd=str(repo_path), shell=True
)
# Push the changes to the appropriate branch
branch_name = version if realign else "main"
subprocess.run(f"git push -u origin {branch_name}".split(), cwd=str(repo_path))
return f"Branch '{branch_name}' updated in {repo_name}" if realign else response.json()["html_url"]
def convert_raw_align_to_tm(align_fn: Path, tm_path: Path):
if DEBUG:
logging.debug("[INFO] Conerting raw alignment to TM repo...")
def load_alignment(fn: Path):
try:
# Ensure fn is a Path object
fn = Path(fn)
# Check if the file exists
if not fn.exists():
logging.error(f"File does not exist: {fn}")
return
# Read and log the content of the file
content = fn.read_text()
except Exception as e:
logging.error(f"Error while reading file {fn}: {e}")
if not content:
return []
for seg_pair in content.splitlines():
if not seg_pair:
continue
if "\t" in seg_pair:
try:
bo_seg, en_seg = seg_pair.split("\t", 1)
except Exception as e:
logging.error(f"{e} in {fn}")
raise
else:
bo_seg = seg_pair
en_seg = "\n"
yield bo_seg, en_seg
text_bo_fn = tm_path / f"{tm_path.name}-bo.txt"
text_en_fn = tm_path / f"{tm_path.name}-en.txt"
with open(text_bo_fn, "w", encoding="utf-8") as bo_file, open(
text_en_fn, "w", encoding="utf-8"
) as en_file:
for bo_seg, en_seg in load_alignment(align_fn):
bo_file.write(bo_seg + "\n")
en_file.write(en_seg + "\n")
return tm_path
def get_github_dev_url(raw_github_url: str) -> str:
base_url = "https://github.dev"
_, file_path = raw_github_url.split(".com")
blob_file_path = file_path.replace("main", "blob/main")
return base_url + blob_file_path
def add_input_in_readme(input_dict: Dict[str, str], path: Path) -> Path:
input_readme_fn = path / "README.md"
text_id = input_dict["text_id"]
bo_file_url = get_github_dev_url(input_dict["bo_file_url"])
en_file_url = get_github_dev_url(input_dict["en_file_url"])
bo_file_url=os.path.split(bo_file_url)
bo_file_url=os.path.join("https://github.com/MonlamAI/",str(text_id).replace("TM","BO"))
en_file_url=os.path.split(en_file_url)
en_file_url=os.path.join("https://github.com/MonlamAI/",str(text_id).replace("TM","EN"))
print(bo_file_url,en_file_url)
input_string = "## Input\n- [BO{}]({})\n- [EN{}]({})".format(
text_id, bo_file_url, text_id, en_file_url
)
input_readme_fn.write_text(input_string)
return path
def add_to_publish_todo_repo(org, repo_name, file_path, access_token):
base_url = f"https://api.github.com/repos/{org}/{repo_name}/contents/"
headers = {
"Authorization": f"Bearer {access_token}",
"Accept": "application/vnd.github.v3+json",
}
url = base_url + file_path
response = requests.get(url, headers=headers)
if response.status_code == 200:
print(f"[INFO] '{file_path}' already added.")
return
payload = {"message": f"Add {file_path}", "content": ""}
response = requests.put(url, headers=headers, json=payload)
if response.status_code == 201:
print(f"[INFO] '{file_path}' added to publish todo")
else:
print(f"[ERROR] Failed to add '{file_path}'.")
print(f"[ERROR] Response: {response.text}")
def create_tm(align_fn: Path, text_pair):
align_fn = Path(align_fn)
text_id = text_pair["text_id"]
try:
version= text_pair["version"]
realign=text_pair["realign"]
except:
version=""
realign=False
with tempfile.TemporaryDirectory() as tmp_dir:
output_dir = Path(tmp_dir)
repo_name = f"TM{text_id}"
tm_path = output_dir / repo_name
tm_path.mkdir(exist_ok=True, parents=True)
repo_path = convert_raw_align_to_tm(align_fn, tm_path)
repo_path = add_input_in_readme(text_pair, tm_path)
repo_url = create_github_repo(repo_path, repo_name,version,realign)
logging.info(f"TM repo created: {repo_url}")
add_to_publish_todo_repo(GITHUB_ORG, MAI_TM_PUBLISH_TODO_REPO, repo_name, GITHUB_ACCESS_TOKEN)
return repo_url
##--------------------------------------------- MAIN -----------------------##
@contextmanager
def TemporaryDirectory():
tmpdir = Path("./output").resolve() / uuid.uuid4().hex[:8]
tmpdir.mkdir(exist_ok=True, parents=True)
try:
yield tmpdir
finally:
shutil.rmtree(str(tmpdir))
def download_file(s3_public_url: str, output_fn) -> Path:
"""Download file from a public S3 bucket URL."""
with requests.get(s3_public_url, stream=True) as r:
r.raise_for_status()
with open(output_fn, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
return output_fn
# def download_file(github_file_url: str, output_fn) -> Path:
# """Download file from github"""
# headers = {
# "Authorization": f"token {GITHUB_TOKEN}",
# "Accept": "application/vnd.github+json",
# }
# authenticated_file_url = f"{github_file_url}?token={GITHUB_TOKEN}"
# with requests.get(authenticated_file_url, headers=headers, stream=True) as r:
# r.raise_for_status()
# with open(output_fn, "wb") as f:
# for chunk in r.iter_content(chunk_size=8192):
# f.write(chunk)
# return output_fn
def _run_align_script(bo_fn, en_fn, output_dir):
start = time.time()
# Configure logging
logging.basicConfig(level=logging.INFO)
# Read the text from the files
bo_text = Path(bo_fn).read_text(encoding='utf-8')
en_text = Path(en_fn).read_text(encoding='utf-8')
# Initialize the aligner and align sentences
aligner = Bertalign(bo_text, en_text, "bo", "en")
aligner.align_sents()
result = aligner.return_tsv()
# Prepare the output filename and write the result
output_fn = Path(output_dir).joinpath('result.txt') # Ensures correct path handling
with open(output_fn, "w", encoding='utf-8') as f:
f.write(result)
# Calculate and log the time taken
end = time.time()
total_time = round((end - start) / 60, 2)
logging.info(f"Total time taken for Aligning: {total_time} mins")
return output_fn
def align(text_pair):
logging.info(f"Running aligner for TM{text_pair['text_id']}...")
with TemporaryDirectory() as tmpdir:
output_dir = Path(tmpdir)
# Download files and validate them
bo_fn = download_file(text_pair["bo_file_url"], output_fn=output_dir / "bo.txt")
en_fn = download_file(text_pair["en_file_url"], output_fn=output_dir / "en.txt")
# Check if files are downloaded correctly
if not bo_fn.exists() or bo_fn.stat().st_size == 0:
logging.error(f"Failed to download or empty file: {bo_fn}")
return {"error": "Failed to download Tibetan file or file is empty"}
if not en_fn.exists() or en_fn.stat().st_size == 0:
logging.error(f"Failed to download or empty file: {en_fn}")
return {"error": "Failed to download English file or file is empty"}
# Log content of files for verification
# Run alignment script
try:
aligned_fn = _run_align_script(bo_fn, en_fn, output_dir)
except Exception as e:
logging.error(f"Alignment script error: {e}")
return {"error": f"Alignment script failed: {e}"}
# Create TM repository
try:
repo_url = create_tm(aligned_fn, text_pair=text_pair)
return {"tm_repo_url": repo_url}
except Exception as e:
logging.error(f"Error in creating TM repository: {e}")
return {"error": f"Error in repository creation: {e}"}
class EndpointHandler():
def __init__(self, path=""):
self.path = path
def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
"""
Args:
data (:obj:):
includes the input data and the parameters for the inference.
Return:
A :obj:`list`:. The list contains the embeddings of the inference inputs
"""
data = data.pop("inputs",data)
return align(data) |