Upload 5 files (#1)
Browse files- Upload 5 files (d8ff46df6e40fd3ad80a0e90509b6ff15a0900fc)
- Pipfile +17 -0
- Pipfile.lock +525 -0
- image.png +0 -0
- remove.py +160 -0
- style.css +11 -0
Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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pandas = "*"
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pydub = "*"
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beautifulsoup4 = "*"
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yfinance = "*"
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scikit-learn = "*"
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[dev-packages]
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[requires]
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python_version = "3.12"
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python_full_version = "3.12.0"
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Pipfile.lock
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@@ -0,0 +1,525 @@
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| 1 |
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{
|
| 2 |
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"_meta": {
|
| 3 |
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"hash": {
|
| 4 |
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"sha256": "fca73292f8f26d1b48931017796e5e119d0cb9c23608e3208de3b208d23c65cb"
|
| 5 |
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},
|
| 6 |
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"pipfile-spec": 6,
|
| 7 |
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"requires": {
|
| 8 |
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"python_full_version": "3.12.0",
|
| 9 |
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"python_version": "3.12"
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| 10 |
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},
|
| 11 |
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"sources": [
|
| 12 |
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{
|
| 13 |
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"name": "pypi",
|
| 14 |
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"url": "https://pypi.org/simple",
|
| 15 |
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"verify_ssl": true
|
| 16 |
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}
|
| 17 |
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]
|
| 18 |
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},
|
| 19 |
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"default": {
|
| 20 |
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"appdirs": {
|
| 21 |
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"hashes": [
|
| 22 |
+
"sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41",
|
| 23 |
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"sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"
|
| 24 |
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],
|
| 25 |
+
"version": "==1.4.4"
|
| 26 |
+
},
|
| 27 |
+
"beautifulsoup4": {
|
| 28 |
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"hashes": [
|
| 29 |
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"sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da",
|
| 30 |
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"sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"
|
| 31 |
+
],
|
| 32 |
+
"index": "pypi",
|
| 33 |
+
"markers": "python_full_version >= '3.6.0'",
|
| 34 |
+
"version": "==4.12.2"
|
| 35 |
+
},
|
| 36 |
+
"certifi": {
|
| 37 |
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"hashes": [
|
| 38 |
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"sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1",
|
| 39 |
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"sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"
|
| 40 |
+
],
|
| 41 |
+
"markers": "python_version >= '3.6'",
|
| 42 |
+
"version": "==2023.11.17"
|
| 43 |
+
},
|
| 44 |
+
"charset-normalizer": {
|
| 45 |
+
"hashes": [
|
| 46 |
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"sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027",
|
| 47 |
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"sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087",
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| 48 |
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"sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786",
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| 49 |
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"sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8",
|
| 50 |
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|
| 51 |
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"sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185",
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"sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574",
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| 53 |
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"sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e",
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| 54 |
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"sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519",
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| 55 |
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"sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898",
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| 56 |
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"sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc",
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| 64 |
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"sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714",
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| 65 |
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"sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2",
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| 66 |
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"sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc",
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| 67 |
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"sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce",
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| 68 |
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"sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d",
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| 69 |
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"sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e",
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| 70 |
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"sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6",
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| 71 |
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"sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269",
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| 72 |
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"sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96",
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| 73 |
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"sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d",
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| 74 |
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"sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a",
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| 75 |
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"sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4",
|
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"sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b",
|
| 419 |
+
"sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03",
|
| 420 |
+
"sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66",
|
| 421 |
+
"sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9",
|
| 422 |
+
"sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf",
|
| 423 |
+
"sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028",
|
| 424 |
+
"sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93",
|
| 425 |
+
"sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05",
|
| 426 |
+
"sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073",
|
| 427 |
+
"sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525",
|
| 428 |
+
"sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e",
|
| 429 |
+
"sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1",
|
| 430 |
+
"sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0",
|
| 431 |
+
"sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433"
|
| 432 |
+
],
|
| 433 |
+
"index": "pypi",
|
| 434 |
+
"markers": "python_version >= '3.8'",
|
| 435 |
+
"version": "==1.3.2"
|
| 436 |
+
},
|
| 437 |
+
"scipy": {
|
| 438 |
+
"hashes": [
|
| 439 |
+
"sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c",
|
| 440 |
+
"sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6",
|
| 441 |
+
"sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8",
|
| 442 |
+
"sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d",
|
| 443 |
+
"sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97",
|
| 444 |
+
"sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff",
|
| 445 |
+
"sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993",
|
| 446 |
+
"sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3",
|
| 447 |
+
"sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd",
|
| 448 |
+
"sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7",
|
| 449 |
+
"sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446",
|
| 450 |
+
"sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa",
|
| 451 |
+
"sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937",
|
| 452 |
+
"sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56",
|
| 453 |
+
"sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd",
|
| 454 |
+
"sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79",
|
| 455 |
+
"sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4",
|
| 456 |
+
"sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4",
|
| 457 |
+
"sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710",
|
| 458 |
+
"sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660",
|
| 459 |
+
"sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41",
|
| 460 |
+
"sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea",
|
| 461 |
+
"sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65",
|
| 462 |
+
"sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be",
|
| 463 |
+
"sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec"
|
| 464 |
+
],
|
| 465 |
+
"markers": "python_version >= '3.9'",
|
| 466 |
+
"version": "==1.11.4"
|
| 467 |
+
},
|
| 468 |
+
"six": {
|
| 469 |
+
"hashes": [
|
| 470 |
+
"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
|
| 471 |
+
"sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
|
| 472 |
+
],
|
| 473 |
+
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
| 474 |
+
"version": "==1.16.0"
|
| 475 |
+
},
|
| 476 |
+
"soupsieve": {
|
| 477 |
+
"hashes": [
|
| 478 |
+
"sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690",
|
| 479 |
+
"sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"
|
| 480 |
+
],
|
| 481 |
+
"markers": "python_version >= '3.8'",
|
| 482 |
+
"version": "==2.5"
|
| 483 |
+
},
|
| 484 |
+
"threadpoolctl": {
|
| 485 |
+
"hashes": [
|
| 486 |
+
"sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032",
|
| 487 |
+
"sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"
|
| 488 |
+
],
|
| 489 |
+
"markers": "python_version >= '3.8'",
|
| 490 |
+
"version": "==3.2.0"
|
| 491 |
+
},
|
| 492 |
+
"tzdata": {
|
| 493 |
+
"hashes": [
|
| 494 |
+
"sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3",
|
| 495 |
+
"sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"
|
| 496 |
+
],
|
| 497 |
+
"markers": "python_version >= '2'",
|
| 498 |
+
"version": "==2023.4"
|
| 499 |
+
},
|
| 500 |
+
"urllib3": {
|
| 501 |
+
"hashes": [
|
| 502 |
+
"sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3",
|
| 503 |
+
"sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"
|
| 504 |
+
],
|
| 505 |
+
"markers": "python_version >= '3.8'",
|
| 506 |
+
"version": "==2.1.0"
|
| 507 |
+
},
|
| 508 |
+
"webencodings": {
|
| 509 |
+
"hashes": [
|
| 510 |
+
"sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78",
|
| 511 |
+
"sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"
|
| 512 |
+
],
|
| 513 |
+
"version": "==0.5.1"
|
| 514 |
+
},
|
| 515 |
+
"yfinance": {
|
| 516 |
+
"hashes": [
|
| 517 |
+
"sha256:bfd5102cc9e5aa259c26b86fb53c2abe9e05ff63d387c03adf0b4ff2f6f2375a",
|
| 518 |
+
"sha256:f3d15cbf06fadd06c607520f70c54cbae4560a99675307ee2383d000232614f8"
|
| 519 |
+
],
|
| 520 |
+
"index": "pypi",
|
| 521 |
+
"version": "==0.2.35"
|
| 522 |
+
}
|
| 523 |
+
},
|
| 524 |
+
"develop": {}
|
| 525 |
+
}
|
image.png
ADDED
|
remove.py
ADDED
|
@@ -0,0 +1,160 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import decimal
|
| 2 |
+
import os.path
|
| 3 |
+
from io import BytesIO
|
| 4 |
+
from os import path
|
| 5 |
+
from pathlib import Path
|
| 6 |
+
|
| 7 |
+
import numpy.random
|
| 8 |
+
from PIL.ImageFilter import *
|
| 9 |
+
from rembg import remove
|
| 10 |
+
import streamlit as s
|
| 11 |
+
from PIL import Image, ImageColor, ImageFilter
|
| 12 |
+
from aspose.imaging import RasterImage
|
| 13 |
+
import aspose.pycore as aspycore
|
| 14 |
+
|
| 15 |
+
s.set_page_config(page_title="BACKGROUND", page_icon=":book:", layout="centered", initial_sidebar_state="auto")
|
| 16 |
+
with open("style.css") as file_style:
|
| 17 |
+
s.markdown(f"<style>{file_style.read()}</style>", unsafe_allow_html=True)
|
| 18 |
+
|
| 19 |
+
s.write("<h1 style='color:yellow;'>UNE NOUVELLE MANIERE DE MANUPULER LES IMAGES</h1>", unsafe_allow_html=True)
|
| 20 |
+
s.write("###### Vous avez marre de toujours utiliser Photoshop :dog: ! Mais oui, il fait ramer votre ordinateur. ")
|
| 21 |
+
s.write("###### Mais la solution, elle est là ! BACKGROUND vous ouvre ses porte.")
|
| 22 |
+
s.write("### Enlever l'arrière-plan de l'image")
|
| 23 |
+
s.sidebar.write("# :snake: Background :snake:")
|
| 24 |
+
|
| 25 |
+
col1, col2 = s.columns(2)
|
| 26 |
+
|
| 27 |
+
bordure = s.sidebar.number_input("Améliorer la bordure", min_value=0, max_value=400, value=220, step=5)
|
| 28 |
+
fond = s.sidebar.slider("Améliorer l'arrière-plan", min_value=0, max_value=100, value=15)
|
| 29 |
+
row1 = s.sidebar.container(border=True)
|
| 30 |
+
check = row1.checkbox("Activer le masque", value=False)
|
| 31 |
+
contoure_leger = row1.checkbox("Contour léger", value=False)
|
| 32 |
+
select_img_filtre = row1.selectbox("Filtres", options=(
|
| 33 |
+
"Selectionner un filtre", "Flou panoramic", "Nettété", "Flou Gaussien", "Masquage flou"))
|
| 34 |
+
|
| 35 |
+
# On charge l'image
|
| 36 |
+
image_upload = s.file_uploader("Choississez une image", type=["png", "jpg", "jpeg"], accept_multiple_files=False)
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
def convert_img(image):
|
| 40 |
+
buf = BytesIO()
|
| 41 |
+
image.save(buf, format="PNG")
|
| 42 |
+
byte_img = buf.getvalue()
|
| 43 |
+
return byte_img
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
def fix_image(image):
|
| 47 |
+
image = Image.open(image)
|
| 48 |
+
|
| 49 |
+
# Ajout des éléments dans la colonne 1
|
| 50 |
+
col1.write("### Image originale")
|
| 51 |
+
col1.image(image)
|
| 52 |
+
# Traiter l'image
|
| 53 |
+
fixed = remove(image, alpha_matting=False, only_mask=check, alpha_matting_background_threshold=fond,
|
| 54 |
+
alpha_matting_foreground_threshold=bordure, post_process_mask=contoure_leger)
|
| 55 |
+
|
| 56 |
+
# Affichage de l'image détourrée
|
| 57 |
+
new_fixed = fixed
|
| 58 |
+
if select_img_filtre != "Selectionner un filtre":
|
| 59 |
+
|
| 60 |
+
if select_img_filtre == "Flou panoramic":
|
| 61 |
+
blur_value = row1._number_input("Intensité du flou panaoramic :", min_value=0.0, max_value=100.0,
|
| 62 |
+
value=10.0, step=5.0)
|
| 63 |
+
fixed = convert_img(fixed.filter(GaussianBlur(radius=blur_value)))
|
| 64 |
+
|
| 65 |
+
print("Blur")
|
| 66 |
+
|
| 67 |
+
elif select_img_filtre == "Nettété":
|
| 68 |
+
fixed = convert_img(fixed.filter(DETAIL))
|
| 69 |
+
print("Détail")
|
| 70 |
+
|
| 71 |
+
elif select_img_filtre == "Flou Gaussien":
|
| 72 |
+
blur_value = row1._number_input("Intensité du flou gaussien :", min_value=0.0, max_value=100.0,
|
| 73 |
+
value=20.0, step=2.0)
|
| 74 |
+
fixed = convert_img(fixed.filter(BoxBlur(radius=blur_value)))
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
elif select_img_filtre == "Masquage flou":
|
| 79 |
+
blur_value = row1._number_input("Niveau du flou :", min_value=0, max_value=10,
|
| 80 |
+
value=5, step=1)
|
| 81 |
+
|
| 82 |
+
# le seuil contrôle le changement de luminosité minimum qui sera accentué
|
| 83 |
+
lumiere_value = row1._number_input("Seuil de la luminosité:", min_value=0, max_value=30,
|
| 84 |
+
value=3, step=1)
|
| 85 |
+
# pourcentage de rayon de flou
|
| 86 |
+
per_value = row1._number_input("Pourcentage de l'effet :", min_value=0, max_value=500,
|
| 87 |
+
value=100, step=5)
|
| 88 |
+
|
| 89 |
+
def hex_to_rgb(hex):
|
| 90 |
+
"""
|
| 91 |
+
Utilisez une compréhension de liste en combinaison avec int()une notation de tranche de liste pour obtenir les composants RVB de la chaîne hexadécimale.
|
| 92 |
+
Utilisez tuple()pour convertir la liste résultante en tuple.
|
| 93 |
+
:param hex:
|
| 94 |
+
:return:
|
| 95 |
+
"""
|
| 96 |
+
return tuple(int(hex[i:i + 2], 16) for i in (0, 2, 4))
|
| 97 |
+
|
| 98 |
+
fixed = convert_img(
|
| 99 |
+
fixed.filter(UnsharpMask(radius=blur_value, percent=per_value, threshold=lumiere_value)))
|
| 100 |
+
|
| 101 |
+
if select_img_filtre == "Flou panoramic":
|
| 102 |
+
col2.write("### Image détourée avec Flou panoramic")
|
| 103 |
+
|
| 104 |
+
col2.image(fixed)
|
| 105 |
+
s.sidebar.markdown("\n")
|
| 106 |
+
s.sidebar.download_button("Télécharger l'image", fixed, mime="image/png",
|
| 107 |
+
file_name="image.png")
|
| 108 |
+
|
| 109 |
+
elif select_img_filtre == "Nettété":
|
| 110 |
+
col2.write("### Image détourée nette")
|
| 111 |
+
|
| 112 |
+
col2.image(fixed)
|
| 113 |
+
s.sidebar.markdown("\n")
|
| 114 |
+
s.sidebar.download_button("Télécharger l'image", fixed, mime="image/png",
|
| 115 |
+
file_name="image.png")
|
| 116 |
+
elif select_img_filtre == "Flou Gaussien":
|
| 117 |
+
col2.write("### Image détourée avec Flou Gaussien")
|
| 118 |
+
|
| 119 |
+
col2.image(fixed)
|
| 120 |
+
s.sidebar.markdown("\n")
|
| 121 |
+
s.sidebar.download_button("Télécharger l'image", fixed, mime="image/png",
|
| 122 |
+
file_name="image.png")
|
| 123 |
+
elif select_img_filtre == "Masquage flou":
|
| 124 |
+
col2.write("### Image détourée - Autres Effets")
|
| 125 |
+
col2.image(fixed)
|
| 126 |
+
s.sidebar.markdown("\n")
|
| 127 |
+
s.sidebar.info(
|
| 128 |
+
"Rendre les images plus claires et plus claires et spectaculaires en augmentant le contraste et en réduisant le bruit.")
|
| 129 |
+
|
| 130 |
+
s.sidebar.download_button("Télécharger l'image", fixed, mime="image/png",
|
| 131 |
+
file_name="image.png")
|
| 132 |
+
|
| 133 |
+
else:
|
| 134 |
+
col2.write("### Image détourée")
|
| 135 |
+
|
| 136 |
+
col2.image(fixed)
|
| 137 |
+
s.sidebar.markdown("\n")
|
| 138 |
+
s.sidebar.download_button("Télécharger l'image", fixed.tobytes(), mime="image/png",
|
| 139 |
+
file_name="image.png")
|
| 140 |
+
# Information sur l'image
|
| 141 |
+
s.markdown(f"#### Informations sur l'image :")
|
| 142 |
+
s.markdown("\n")
|
| 143 |
+
if select_img_filtre == "Selectionner un filtre":
|
| 144 |
+
s.markdown(
|
| 145 |
+
f"<p> Taille de l'image : {image.width} x {image.height}</p> <p>Mode avant : {image.mode} - Mode après : {image.mode}</p>"
|
| 146 |
+
f"<p>Format de l'image : {image.format}</p>"
|
| 147 |
+
f"<p>Format ISO : {image.format_description}</p>", unsafe_allow_html=True)
|
| 148 |
+
s.markdown(f"<p>Dimension bordure : {fixed.getbbox()}</p>", unsafe_allow_html=True)
|
| 149 |
+
|
| 150 |
+
else:
|
| 151 |
+
s.markdown(
|
| 152 |
+
f"<p> Taille de l'image : {image.width} x {image.height}</p> <p>Mode avant : {image.mode}</p>"
|
| 153 |
+
f"<p>Format de l'image : {image.format}</p>"
|
| 154 |
+
f"<p>Format ISO : {image.format_description}</p>", unsafe_allow_html=True)
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
if image_upload is not None:
|
| 158 |
+
fix_image(image_upload)
|
| 159 |
+
else:
|
| 160 |
+
s.write("##### En attente d'une image uploadée !")
|
style.css
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
.st-emotion-cache-6qob1r
|
| 2 |
+
{
|
| 3 |
+
color:yellow;
|
| 4 |
+
background-color:#8E0049 ;
|
| 5 |
+
}
|
| 6 |
+
|
| 7 |
+
.st-emotion-cache-k7vsyb h1
|
| 8 |
+
{
|
| 9 |
+
text-align:center;
|
| 10 |
+
font-family: Microsoft YaHei UI light ;
|
| 11 |
+
}
|