Image-to-Text
Transformers
Joblib
Persian
English
document-ai
ocr
invoice
persian
enterprise
aria-ai
Instructions to use alirezaaminzadeh/docflow-invoice-parser-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alirezaaminzadeh/docflow-invoice-parser-fa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="alirezaaminzadeh/docflow-invoice-parser-fa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alirezaaminzadeh/docflow-invoice-parser-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 6,101 Bytes
af24ae8 | 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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | """FastAPI application for DocFlow AI."""
from __future__ import annotations
import io
import os
import sys
import tempfile
from pathlib import Path
from fastapi import Depends, FastAPI, File, HTTPException, Query, UploadFile
from fastapi.responses import StreamingResponse
from sqlalchemy.orm import Session
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from api.database import get_db, init_db # noqa: E402
from api.review_service import approve_review, create_review, get_review, list_reviews, reject_review # noqa: E402
from api.schemas import ExtractResponse, HealthResponse, ReviewAction, ReviewDetail, ReviewSummary # noqa: E402
from docflow.export import to_excel_bytes, to_json # noqa: E402
from docflow.pipeline import DocFlowPipeline # noqa: E402
app = FastAPI(
title="DocFlow AI API",
description="Enterprise invoice extraction and accountant review workflow by Aria AI",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc",
)
pipeline = DocFlowPipeline(validate=True)
MAX_UPLOAD_MB = int(os.getenv("MAX_UPLOAD_SIZE_MB", "10"))
ALLOWED_TYPES = {"image/png", "image/jpeg", "image/jpg", "application/pdf"}
@app.on_event("startup")
def on_startup() -> None:
init_db()
@app.get("/health", response_model=HealthResponse)
def health(db: Session = Depends(get_db)) -> HealthResponse:
try:
db.execute(__import__("sqlalchemy").text("SELECT 1"))
db_status = "connected"
except Exception:
db_status = "disconnected"
return HealthResponse(database=db_status)
@app.post("/v1/invoices/extract", response_model=ExtractResponse)
async def extract_invoice(
file: UploadFile = File(...),
validate: bool = Query(True),
queue_review: bool = Query(True),
db: Session = Depends(get_db),
) -> ExtractResponse:
if file.content_type not in ALLOWED_TYPES:
raise HTTPException(400, f"Unsupported file type: {file.content_type}")
content = await file.read()
if len(content) > MAX_UPLOAD_MB * 1024 * 1024:
raise HTTPException(413, f"File exceeds {MAX_UPLOAD_MB}MB limit")
suffix = Path(file.filename or "upload.png").suffix or ".png"
with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
tmp.write(content)
tmp_path = tmp.name
try:
pipeline.validate = validate
invoice, validation, _ = pipeline.process(tmp_path)
except Exception as exc:
raise HTTPException(422, f"OCR/processing failed: {exc}") from exc
finally:
Path(tmp_path).unlink(missing_ok=True)
review_id = None
if queue_review:
review = create_review(db, invoice, validation)
review_id = review.id
return ExtractResponse(
invoice=invoice.to_export_dict(),
validation=validation.model_dump() if validation else None,
review_id=review_id,
)
@app.post("/v1/invoices/export/excel")
async def export_excel(
file: UploadFile = File(...),
validate: bool = Query(True),
):
content = await file.read()
suffix = Path(file.filename or "upload.png").suffix or ".png"
with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
tmp.write(content)
tmp_path = tmp.name
try:
pipeline.validate = validate
invoice, validation, _ = pipeline.process(tmp_path)
excel_bytes = to_excel_bytes(invoice, validation)
except Exception as exc:
raise HTTPException(422, f"Processing failed: {exc}") from exc
finally:
Path(tmp_path).unlink(missing_ok=True)
return StreamingResponse(
io.BytesIO(excel_bytes),
media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
headers={"Content-Disposition": "attachment; filename=docflow_export.xlsx"},
)
@app.get("/v1/reviews", response_model=list[ReviewSummary])
def get_reviews(status: str | None = Query(None), db: Session = Depends(get_db)) -> list[ReviewSummary]:
reviews = list_reviews(db, status=status)
return [
ReviewSummary(
id=r.id,
vendor_name=r.vendor_name,
invoice_number=r.invoice_number,
total_amount=r.total_amount,
currency=r.currency,
confidence=r.confidence,
status=r.status,
created_at=r.created_at,
reviewer=r.reviewer,
)
for r in reviews
]
@app.get("/v1/reviews/{review_id}", response_model=ReviewDetail)
def get_review_detail(review_id: str, db: Session = Depends(get_db)) -> ReviewDetail:
review = get_review(db, review_id)
if not review:
raise HTTPException(404, "Review not found")
return ReviewDetail(
id=review.id,
vendor_name=review.vendor_name,
invoice_number=review.invoice_number,
total_amount=review.total_amount,
currency=review.currency,
confidence=review.confidence,
status=review.status,
created_at=review.created_at,
reviewer=review.reviewer,
invoice_data=review.invoice_data,
validation_data=review.validation_data,
review_notes=review.review_notes,
reviewed_at=review.reviewed_at,
)
@app.post("/v1/reviews/{review_id}/approve", response_model=ReviewDetail)
def approve(review_id: str, action: ReviewAction, db: Session = Depends(get_db)) -> ReviewDetail:
review = approve_review(db, review_id, action.reviewer, action.notes)
if not review:
raise HTTPException(404, "Review not found")
return get_review_detail(review_id, db)
@app.post("/v1/reviews/{review_id}/reject", response_model=ReviewDetail)
def reject(review_id: str, action: ReviewAction, db: Session = Depends(get_db)) -> ReviewDetail:
review = reject_review(db, review_id, action.reviewer, action.notes)
if not review:
raise HTTPException(404, "Review not found")
return get_review_detail(review_id, db)
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