import requests
response = requests.post(
"https://api.downloader.org/api/v1/submit/",
headers={"Authorization": "API_KEY"},
json={"url": "URL"},
)
for item in response.json()["items"]:
print(item["type"], item["url"])
Bbc Downloader Images – FAQ
URL- и файли Bbc image- ро, ки мехоҳед нусхабардорӣ кунед, ба қуттии дар болои ин саҳифа ҷойгиршуда, часпонед ва пахш кунед Боргирӣ. Файл дар чанд сония омода мешавад.
Бале — Bbc images ройгон боргирӣ кунед, ҳисоби шумо лозим нест. Барои корбароне, ки ба ҳадди рӯзонаи мо мерасанд ё мехоҳанд, ки ба онҳо пешрафти пешрафта дода шавад, нақшаи Pro мавҷуд аст, аммо он лозим нест.
Bbc тасвирҳо дар формати аслӣ боргирӣ мешаванд — JPG барои суратҳо, PNG, вақте ки манбаи шаффофӣ дорад. Иҷозатдиҳӣ ба он мувофиқат мекунад, ки Bbc дар асл хизмат мекунад; мо андозабандиро баланд намебардорем ё дубора фишурданро анҷом намедиҳем.
Bbc мизбони видеои дарозмуддат аст — ҳама чиз аз клипи 3-дақиқа то бойгонии бисёрсоата. image вақти боргириро бо андозаи файл андоза мекунад, аммо коркарди тарафи сервер доимӣ мемонад.
Ҳар як image, ки шумо метавонед дар Bbc бе ворид шудан бозӣ кунед, бозии одилона аст. URL- ро дарҷ кунед — дар тарафи мо ҳисоб ё воридшавӣ ба Bbc лозим нест.
One Bbc-specific note that applies to images too: Баъзеи мундариҷаҳо бо сабаби маҳдудиятҳои географӣ дастрас нестанд. Агар боркунӣ қатъ шавад, файл дар минтақаи шумо дастрас нест.
Бале. Мо файли Bbc- ро пешниҳод мекунем — бе рамзгузории дубора, бе фишурдан, бе талафи сифат. image- и шумо бо он чизе, ки дар браузери шумо бозӣ мешавад, мувофиқат мекунад.
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 244.00 MiB memory in use. Process 3310941 has 1.43 GiB memory in use. Process 3310930 has 1.56 GiB memory in use. Process 3310934 has 1.06 GiB memory in use. Process 3310933 has 1.12 GiB memory in use. Process 3310931 has 1.10 GiB memory in use. Process 3310938 has 1.53 GiB memory in use. Process 3310945 has 1.19 GiB memory in use. Process 3310935 has 1.02 GiB memory in use. Process 3310940 has 1.06 GiB memory in use. Process 3310929 has 1.04 GiB memory in use. Process 3310947 has 1000.00 MiB memory in use. Process 3310943 has 1.06 GiB memory in use. Including non-PyTorch memory, this process has 8.95 GiB memory in use. Process 3358747 has 336.00 MiB memory in use. Of the allocated memory 8.76 GiB is allocated by PyTorch, and 14.78 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 244.00 MiB memory in use. Process 3310941 has 1.43 GiB memory in use. Process 3310930 has 1.56 GiB memory in use. Process 3310934 has 1.06 GiB memory in use. Process 3310933 has 1.12 GiB memory in use. Process 3310931 has 1.10 GiB memory in use. Process 3310938 has 1.53 GiB memory in use. Process 3310945 has 1.19 GiB memory in use. Process 3310935 has 1.02 GiB memory in use. Process 3310940 has 1.06 GiB memory in use. Process 3310929 has 1.04 GiB memory in use. Process 3310947 has 1000.00 MiB memory in use. Process 3310943 has 1.06 GiB memory in use. Including non-PyTorch memory, this process has 8.95 GiB memory in use. Process 3358747 has 336.00 MiB memory in use. Of the allocated memory 8.76 GiB is allocated by PyTorch, and 14.78 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 244.00 MiB memory in use. Process 3310941 has 1.43 GiB memory in use. Process 3310930 has 1.56 GiB memory in use. Process 3310934 has 1.06 GiB memory in use. Process 3310933 has 1.12 GiB memory in use. Process 3310931 has 1.10 GiB memory in use. Process 3310938 has 1.53 GiB memory in use. Process 3310945 has 1.19 GiB memory in use. Process 3310935 has 1.02 GiB memory in use. Process 3310940 has 1.06 GiB memory in use. Process 3310929 has 1.04 GiB memory in use. Process 3310947 has 1000.00 MiB memory in use. Process 3310943 has 1.06 GiB memory in use. Including non-PyTorch memory, this process has 8.95 GiB memory in use. Process 3358747 has 336.00 MiB memory in use. Of the allocated memory 8.76 GiB is allocated by PyTorch, and 14.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
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Зеркашии оммавӣ - Зеркашии оммавии як клик
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Дастгирии URL-ҳои сершумор - Мундариҷаро аз якчанд URL якбора бо вергул ҷудо кунед