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utc time and requirements dependencies update
Browse files- __pycache__/main.cpython-312.pyc +0 -0
- main.py +4 -3
- requirements.txt +5 -1
__pycache__/main.cpython-312.pyc
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Binary files a/__pycache__/main.cpython-312.pyc and b/__pycache__/main.cpython-312.pyc differ
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main.py
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@@ -2,7 +2,7 @@ from pathlib import Path
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import tempfile
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from typing import Any, Optional
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from datetime import datetime
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from fastapi import FastAPI, UploadFile, File
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from fastapi.responses import JSONResponse
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from pydantic import BaseModel
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@@ -42,7 +42,7 @@ async def process_cv(file: UploadFile = File(...)):
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tmp_path = None
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try:
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start_time = datetime.now().isoformat()
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file_bytes = await file.read()
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suffix = Path(file.filename).suffix.lower()
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@@ -51,11 +51,12 @@ async def process_cv(file: UploadFile = File(...)):
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tmp_path = Path(tmp.name)
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result = converter.convert(tmp_path)
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if not result.success:
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return APIResponse(message=result.error, statusCode=422)
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end_time = datetime.now().isoformat()
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return APIResponse(
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message="CV processed successfully",
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import tempfile
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from typing import Any, Optional
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from datetime import datetime, timezone
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from fastapi import FastAPI, UploadFile, File
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from fastapi.responses import JSONResponse
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from pydantic import BaseModel
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tmp_path = None
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try:
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start_time = datetime.now(timezone.utc).isoformat()
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file_bytes = await file.read()
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suffix = Path(file.filename).suffix.lower()
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tmp_path = Path(tmp.name)
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result = converter.convert(tmp_path)
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end_time = datetime.now(timezone.utc).isoformat()
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if not result.success:
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return APIResponse(message=result.error, statusCode=422)
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end_time = datetime.now(timezone.utc).isoformat()
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return APIResponse(
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message="CV processed successfully",
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requirements.txt
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@@ -11,7 +11,11 @@ pdfplumber
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python-docx
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marker-pdf
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# AI / ML Models
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transformers
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accelerate
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torch
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python-docx
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marker-pdf
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# Pandoc conversion layer
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pypandoc
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pandoc
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# AI / ML Models
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transformers
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accelerate
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+
torch
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