create app with docker mode on Space

Dockerfile

@@ -0,0 +1,26 @@
+# For more information, please refer to https://aka.ms/vscode-docker-python
+FROM python:3.10-slim
+
+EXPOSE 8000
+
+# Keeps Python from generating .pyc files in the container
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Turns off buffering for easier container logging
+ENV PYTHONUNBUFFERED=1
+
+# Install pip requirements
+COPY requirements.txt .
+RUN python -m pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
+RUN python -m pip install -r requirements.txt
+
+WORKDIR /app
+COPY . /app
+
+# Creates a non-root user with an explicit UID and adds permission to access the /app folder
+# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
+RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app
+USER appuser
+
+# During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug
+CMD ["gunicorn", "--bind", "0.0.0.0:8000", "-k", "uvicorn.workers.UvicornWorker", "main:app"]

birds-classifier-efficientnetb2/config.json

@@ -0,0 +1,1137 @@
+{
+  "_name_or_path": "google/efficientnet-b2",
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.2,
+  "depth_divisor": 8,
+  "depthwise_padding": [
+    5,
+    8,
+    16
+  ],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.3,
+  "expand_ratios": [
+    1,
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "hidden_act": "swish",
+  "hidden_dim": 1408,
+  "id2label": {
+    "0": "ABBOTTS BABBLER",
+    "1": "ABBOTTS BOOBY",
+    "2": "ABYSSINIAN GROUND HORNBILL",
+    "3": "AFRICAN CROWNED CRANE",
+    "4": "AFRICAN EMERALD CUCKOO",
+    "5": "AFRICAN FIREFINCH",
+    "6": "AFRICAN OYSTER CATCHER",
+    "7": "AFRICAN PIED HORNBILL",
+    "8": "AFRICAN PYGMY GOOSE",
+    "9": "ALBATROSS",
+    "10": "ALBERTS TOWHEE",
+    "11": "ALEXANDRINE PARAKEET",
+    "12": "ALPINE CHOUGH",
+    "13": "ALTAMIRA YELLOWTHROAT",
+    "14": "AMERICAN AVOCET",
+    "15": "AMERICAN BITTERN",
+    "16": "AMERICAN COOT",
+    "17": "AMERICAN DIPPER",
+    "18": "AMERICAN FLAMINGO",
+    "19": "AMERICAN GOLDFINCH",
+    "20": "AMERICAN KESTREL",
+    "21": "AMERICAN PIPIT",
+    "22": "AMERICAN REDSTART",
+    "23": "AMERICAN ROBIN",
+    "24": "AMERICAN WIGEON",
+    "25": "AMETHYST WOODSTAR",
+    "26": "ANDEAN GOOSE",
+    "27": "ANDEAN LAPWING",
+    "28": "ANDEAN SISKIN",
+    "29": "ANHINGA",
+    "30": "ANIANIAU",
+    "31": "ANNAS HUMMINGBIRD",
+    "32": "ANTBIRD",
+    "33": "ANTILLEAN EUPHONIA",
+    "34": "APAPANE",
+    "35": "APOSTLEBIRD",
+    "36": "ARARIPE MANAKIN",
+    "37": "ASHY STORM PETREL",
+    "38": "ASHY THRUSHBIRD",
+    "39": "ASIAN CRESTED IBIS",
+    "40": "ASIAN DOLLARD BIRD",
+    "41": "ASIAN GREEN BEE EATER",
+    "42": "ASIAN OPENBILL STORK",
+    "43": "AUCKLAND SHAQ",
+    "44": "AUSTRAL CANASTERO",
+    "45": "AUSTRALASIAN FIGBIRD",
+    "46": "AVADAVAT",
+    "47": "AZARAS SPINETAIL",
+    "48": "AZURE BREASTED PITTA",
+    "49": "AZURE JAY",
+    "50": "AZURE TANAGER",
+    "51": "AZURE TIT",
+    "52": "BAIKAL TEAL",
+    "53": "BALD EAGLE",
+    "54": "BALD IBIS",
+    "55": "BALI STARLING",
+    "56": "BALTIMORE ORIOLE",
+    "57": "BANANAQUIT",
+    "58": "BAND TAILED GUAN",
+    "59": "BANDED BROADBILL",
+    "60": "BANDED PITA",
+    "61": "BANDED STILT",
+    "62": "BAR-TAILED GODWIT",
+    "63": "BARN OWL",
+    "64": "BARN SWALLOW",
+    "65": "BARRED PUFFBIRD",
+    "66": "BARROWS GOLDENEYE",
+    "67": "BAY-BREASTED WARBLER",
+    "68": "BEARDED BARBET",
+    "69": "BEARDED BELLBIRD",
+    "70": "BEARDED REEDLING",
+    "71": "BELTED KINGFISHER",
+    "72": "BIRD OF PARADISE",
+    "73": "BLACK AND YELLOW BROADBILL",
+    "74": "BLACK BAZA",
+    "75": "BLACK BREASTED PUFFBIRD",
+    "76": "BLACK COCKATO",
+    "77": "BLACK FACED SPOONBILL",
+    "78": "BLACK FRANCOLIN",
+    "79": "BLACK HEADED CAIQUE",
+    "80": "BLACK NECKED STILT",
+    "81": "BLACK SKIMMER",
+    "82": "BLACK SWAN",
+    "83": "BLACK TAIL CRAKE",
+    "84": "BLACK THROATED BUSHTIT",
+    "85": "BLACK THROATED HUET",
+    "86": "BLACK THROATED WARBLER",
+    "87": "BLACK VENTED SHEARWATER",
+    "88": "BLACK VULTURE",
+    "89": "BLACK-CAPPED CHICKADEE",
+    "90": "BLACK-NECKED GREBE",
+    "91": "BLACK-THROATED SPARROW",
+    "92": "BLACKBURNIAM WARBLER",
+    "93": "BLONDE CRESTED WOODPECKER",
+    "94": "BLOOD PHEASANT",
+    "95": "BLUE COAU",
+    "96": "BLUE DACNIS",
+    "97": "BLUE GRAY GNATCATCHER",
+    "98": "BLUE GROSBEAK",
+    "99": "BLUE GROUSE",
+    "100": "BLUE HERON",
+    "101": "BLUE MALKOHA",
+    "102": "BLUE THROATED PIPING GUAN",
+    "103": "BLUE THROATED TOUCANET",
+    "104": "BOBOLINK",
+    "105": "BORNEAN BRISTLEHEAD",
+    "106": "BORNEAN LEAFBIRD",
+    "107": "BORNEAN PHEASANT",
+    "108": "BRANDT CORMARANT",
+    "109": "BREWERS BLACKBIRD",
+    "110": "BROWN CREPPER",
+    "111": "BROWN HEADED COWBIRD",
+    "112": "BROWN NOODY",
+    "113": "BROWN THRASHER",
+    "114": "BUFFLEHEAD",
+    "115": "BULWERS PHEASANT",
+    "116": "BURCHELLS COURSER",
+    "117": "BUSH TURKEY",
+    "118": "CAATINGA CACHOLOTE",
+    "119": "CABOTS TRAGOPAN",
+    "120": "CACTUS WREN",
+    "121": "CALIFORNIA CONDOR",
+    "122": "CALIFORNIA GULL",
+    "123": "CALIFORNIA QUAIL",
+    "124": "CAMPO FLICKER",
+    "125": "CANARY",
+    "126": "CANVASBACK",
+    "127": "CAPE GLOSSY STARLING",
+    "128": "CAPE LONGCLAW",
+    "129": "CAPE MAY WARBLER",
+    "130": "CAPE ROCK THRUSH",
+    "131": "CAPPED HERON",
+    "132": "CAPUCHINBIRD",
+    "133": "CARMINE BEE-EATER",
+    "134": "CASPIAN TERN",
+    "135": "CASSOWARY",
+    "136": "CEDAR WAXWING",
+    "137": "CERULEAN WARBLER",
+    "138": "CHARA DE COLLAR",
+    "139": "CHATTERING LORY",
+    "140": "CHESTNET BELLIED EUPHONIA",
+    "141": "CHESTNUT WINGED CUCKOO",
+    "142": "CHINESE BAMBOO PARTRIDGE",
+    "143": "CHINESE POND HERON",
+    "144": "CHIPPING SPARROW",
+    "145": "CHUCAO TAPACULO",
+    "146": "CHUKAR PARTRIDGE",
+    "147": "CINNAMON ATTILA",
+    "148": "CINNAMON FLYCATCHER",
+    "149": "CINNAMON TEAL",
+    "150": "CLARKS GREBE",
+    "151": "CLARKS NUTCRACKER",
+    "152": "COCK OF THE  ROCK",
+    "153": "COCKATOO",
+    "154": "COLLARED ARACARI",
+    "155": "COLLARED CRESCENTCHEST",
+    "156": "COMMON FIRECREST",
+    "157": "COMMON GRACKLE",
+    "158": "COMMON HOUSE MARTIN",
+    "159": "COMMON IORA",
+    "160": "COMMON LOON",
+    "161": "COMMON POORWILL",
+    "162": "COMMON STARLING",
+    "163": "COPPERSMITH BARBET",
+    "164": "COPPERY TAILED COUCAL",
+    "165": "CRAB PLOVER",
+    "166": "CRANE HAWK",
+    "167": "CREAM COLORED WOODPECKER",
+    "168": "CRESTED AUKLET",
+    "169": "CRESTED CARACARA",
+    "170": "CRESTED COUA",
+    "171": "CRESTED FIREBACK",
+    "172": "CRESTED KINGFISHER",
+    "173": "CRESTED NUTHATCH",
+    "174": "CRESTED OROPENDOLA",
+    "175": "CRESTED SERPENT EAGLE",
+    "176": "CRESTED SHRIKETIT",
+    "177": "CRESTED WOOD PARTRIDGE",
+    "178": "CRIMSON CHAT",
+    "179": "CRIMSON SUNBIRD",
+    "180": "CROW",
+    "181": "CUBAN TODY",
+    "182": "CUBAN TROGON",
+    "183": "CURL CRESTED ARACURI",
+    "184": "D-ARNAUDS BARBET",
+    "185": "DALMATIAN PELICAN",
+    "186": "DARJEELING WOODPECKER",
+    "187": "DARK EYED JUNCO",
+    "188": "DAURIAN REDSTART",
+    "189": "DEMOISELLE CRANE",
+    "190": "DOUBLE BARRED FINCH",
+    "191": "DOUBLE BRESTED CORMARANT",
+    "192": "DOUBLE EYED FIG PARROT",
+    "193": "DOWNY WOODPECKER",
+    "194": "DUNLIN",
+    "195": "DUSKY LORY",
+    "196": "DUSKY ROBIN",
+    "197": "EARED PITA",
+    "198": "EASTERN BLUEBIRD",
+    "199": "EASTERN BLUEBONNET",
+    "200": "EASTERN GOLDEN WEAVER",
+    "201": "EASTERN MEADOWLARK",
+    "202": "EASTERN ROSELLA",
+    "203": "EASTERN TOWEE",
+    "204": "EASTERN WIP POOR WILL",
+    "205": "EASTERN YELLOW ROBIN",
+    "206": "ECUADORIAN HILLSTAR",
+    "207": "EGYPTIAN GOOSE",
+    "208": "ELEGANT TROGON",
+    "209": "ELLIOTS  PHEASANT",
+    "210": "EMERALD TANAGER",
+    "211": "EMPEROR PENGUIN",
+    "212": "EMU",
+    "213": "ENGGANO MYNA",
+    "214": "EURASIAN BULLFINCH",
+    "215": "EURASIAN GOLDEN ORIOLE",
+    "216": "EURASIAN MAGPIE",
+    "217": "EUROPEAN GOLDFINCH",
+    "218": "EUROPEAN TURTLE DOVE",
+    "219": "EVENING GROSBEAK",
+    "220": "FAIRY BLUEBIRD",
+    "221": "FAIRY PENGUIN",
+    "222": "FAIRY TERN",
+    "223": "FAN TAILED WIDOW",
+    "224": "FASCIATED WREN",
+    "225": "FIERY MINIVET",
+    "226": "FIORDLAND PENGUIN",
+    "227": "FIRE TAILLED MYZORNIS",
+    "228": "FLAME BOWERBIRD",
+    "229": "FLAME TANAGER",
+    "230": "FOREST WAGTAIL",
+    "231": "FRIGATE",
+    "232": "FRILL BACK PIGEON",
+    "233": "GAMBELS QUAIL",
+    "234": "GANG GANG COCKATOO",
+    "235": "GILA WOODPECKER",
+    "236": "GILDED FLICKER",
+    "237": "GLOSSY IBIS",
+    "238": "GO AWAY BIRD",
+    "239": "GOLD WING WARBLER",
+    "240": "GOLDEN BOWER BIRD",
+    "241": "GOLDEN CHEEKED WARBLER",
+    "242": "GOLDEN CHLOROPHONIA",
+    "243": "GOLDEN EAGLE",
+    "244": "GOLDEN PARAKEET",
+    "245": "GOLDEN PHEASANT",
+    "246": "GOLDEN PIPIT",
+    "247": "GOULDIAN FINCH",
+    "248": "GRANDALA",
+    "249": "GRAY CATBIRD",
+    "250": "GRAY KINGBIRD",
+    "251": "GRAY PARTRIDGE",
+    "252": "GREAT ARGUS",
+    "253": "GREAT GRAY OWL",
+    "254": "GREAT JACAMAR",
+    "255": "GREAT KISKADEE",
+    "256": "GREAT POTOO",
+    "257": "GREAT TINAMOU",
+    "258": "GREAT XENOPS",
+    "259": "GREATER PEWEE",
+    "260": "GREATER PRAIRIE CHICKEN",
+    "261": "GREATOR SAGE GROUSE",
+    "262": "GREEN BROADBILL",
+    "263": "GREEN JAY",
+    "264": "GREEN MAGPIE",
+    "265": "GREEN WINGED DOVE",
+    "266": "GREY CUCKOOSHRIKE",
+    "267": "GREY HEADED CHACHALACA",
+    "268": "GREY HEADED FISH EAGLE",
+    "269": "GREY PLOVER",
+    "270": "GROVED BILLED ANI",
+    "271": "GUINEA TURACO",
+    "272": "GUINEAFOWL",
+    "273": "GURNEYS PITTA",
+    "274": "GYRFALCON",
+    "275": "HAMERKOP",
+    "276": "HARLEQUIN DUCK",
+    "277": "HARLEQUIN QUAIL",
+    "278": "HARPY EAGLE",
+    "279": "HAWAIIAN GOOSE",
+    "280": "HAWFINCH",
+    "281": "HELMET VANGA",
+    "282": "HEPATIC TANAGER",
+    "283": "HIMALAYAN BLUETAIL",
+    "284": "HIMALAYAN MONAL",
+    "285": "HOATZIN",
+    "286": "HOODED MERGANSER",
+    "287": "HOOPOES",
+    "288": "HORNED GUAN",
+    "289": "HORNED LARK",
+    "290": "HORNED SUNGEM",
+    "291": "HOUSE FINCH",
+    "292": "HOUSE SPARROW",
+    "293": "HYACINTH MACAW",
+    "294": "IBERIAN MAGPIE",
+    "295": "IBISBILL",
+    "296": "IMPERIAL SHAQ",
+    "297": "INCA TERN",
+    "298": "INDIAN BUSTARD",
+    "299": "INDIAN PITTA",
+    "300": "INDIAN ROLLER",
+    "301": "INDIAN VULTURE",
+    "302": "INDIGO BUNTING",
+    "303": "INDIGO FLYCATCHER",
+    "304": "INLAND DOTTEREL",
+    "305": "IVORY BILLED ARACARI",
+    "306": "IVORY GULL",
+    "307": "IWI",
+    "308": "JABIRU",
+    "309": "JACK SNIPE",
+    "310": "JACOBIN PIGEON",
+    "311": "JANDAYA PARAKEET",
+    "312": "JAPANESE ROBIN",
+    "313": "JAVA SPARROW",
+    "314": "JOCOTOCO ANTPITTA",
+    "315": "KAGU",
+    "316": "KAKAPO",
+    "317": "KILLDEAR",
+    "318": "KING EIDER",
+    "319": "KING VULTURE",
+    "320": "KIWI",
+    "321": "KNOB BILLED DUCK",
+    "322": "KOOKABURRA",
+    "323": "LARK BUNTING",
+    "324": "LAUGHING GULL",
+    "325": "LAZULI BUNTING",
+    "326": "LESSER ADJUTANT",
+    "327": "LILAC ROLLER",
+    "328": "LIMPKIN",
+    "329": "LITTLE AUK",
+    "330": "LOGGERHEAD SHRIKE",
+    "331": "LONG-EARED OWL",
+    "332": "LOONEY BIRDS",
+    "333": "LUCIFER HUMMINGBIRD",
+    "334": "MAGPIE GOOSE",
+    "335": "MALABAR HORNBILL",
+    "336": "MALACHITE KINGFISHER",
+    "337": "MALAGASY WHITE EYE",
+    "338": "MALEO",
+    "339": "MALLARD DUCK",
+    "340": "MANDRIN DUCK",
+    "341": "MANGROVE CUCKOO",
+    "342": "MARABOU STORK",
+    "343": "MASKED BOBWHITE",
+    "344": "MASKED BOOBY",
+    "345": "MASKED LAPWING",
+    "346": "MCKAYS BUNTING",
+    "347": "MERLIN",
+    "348": "MIKADO  PHEASANT",
+    "349": "MILITARY MACAW",
+    "350": "MOURNING DOVE",
+    "351": "MYNA",
+    "352": "NICOBAR PIGEON",
+    "353": "NOISY FRIARBIRD",
+    "354": "NORTHERN BEARDLESS TYRANNULET",
+    "355": "NORTHERN CARDINAL",
+    "356": "NORTHERN FLICKER",
+    "357": "NORTHERN FULMAR",
+    "358": "NORTHERN GANNET",
+    "359": "NORTHERN GOSHAWK",
+    "360": "NORTHERN JACANA",
+    "361": "NORTHERN MOCKINGBIRD",
+    "362": "NORTHERN PARULA",
+    "363": "NORTHERN RED BISHOP",
+    "364": "NORTHERN SHOVELER",
+    "365": "OCELLATED TURKEY",
+    "366": "OILBIRD",
+    "367": "OKINAWA RAIL",
+    "368": "ORANGE BREASTED TROGON",
+    "369": "ORANGE BRESTED BUNTING",
+    "370": "ORIENTAL BAY OWL",
+    "371": "ORNATE HAWK EAGLE",
+    "372": "OSPREY",
+    "373": "OSTRICH",
+    "374": "OVENBIRD",
+    "375": "OYSTER CATCHER",
+    "376": "PAINTED BUNTING",
+    "377": "PALILA",
+    "378": "PALM NUT VULTURE",
+    "379": "PARADISE TANAGER",
+    "380": "PARAKETT  AUKLET",
+    "381": "PARUS MAJOR",
+    "382": "PATAGONIAN SIERRA FINCH",
+    "383": "PEACOCK",
+    "384": "PEREGRINE FALCON",
+    "385": "PHAINOPEPLA",
+    "386": "PHILIPPINE EAGLE",
+    "387": "PINK ROBIN",
+    "388": "PLUSH CRESTED JAY",
+    "389": "POMARINE JAEGER",
+    "390": "PUFFIN",
+    "391": "PUNA TEAL",
+    "392": "PURPLE FINCH",
+    "393": "PURPLE GALLINULE",
+    "394": "PURPLE MARTIN",
+    "395": "PURPLE SWAMPHEN",
+    "396": "PYGMY KINGFISHER",
+    "397": "PYRRHULOXIA",
+    "398": "QUETZAL",
+    "399": "RAINBOW LORIKEET",
+    "400": "RAZORBILL",
+    "401": "RED BEARDED BEE EATER",
+    "402": "RED BELLIED PITTA",
+    "403": "RED BILLED TROPICBIRD",
+    "404": "RED BROWED FINCH",
+    "405": "RED CROSSBILL",
+    "406": "RED FACED CORMORANT",
+    "407": "RED FACED WARBLER",
+    "408": "RED FODY",
+    "409": "RED HEADED DUCK",
+    "410": "RED HEADED WOODPECKER",
+    "411": "RED KNOT",
+    "412": "RED LEGGED HONEYCREEPER",
+    "413": "RED NAPED TROGON",
+    "414": "RED SHOULDERED HAWK",
+    "415": "RED TAILED HAWK",
+    "416": "RED TAILED THRUSH",
+    "417": "RED WINGED BLACKBIRD",
+    "418": "RED WISKERED BULBUL",
+    "419": "REGENT BOWERBIRD",
+    "420": "RING-NECKED PHEASANT",
+    "421": "ROADRUNNER",
+    "422": "ROCK DOVE",
+    "423": "ROSE BREASTED COCKATOO",
+    "424": "ROSE BREASTED GROSBEAK",
+    "425": "ROSEATE SPOONBILL",
+    "426": "ROSY FACED LOVEBIRD",
+    "427": "ROUGH LEG BUZZARD",
+    "428": "ROYAL FLYCATCHER",
+    "429": "RUBY CROWNED KINGLET",
+    "430": "RUBY THROATED HUMMINGBIRD",
+    "431": "RUDDY SHELDUCK",
+    "432": "RUDY KINGFISHER",
+    "433": "RUFOUS KINGFISHER",
+    "434": "RUFOUS TREPE",
+    "435": "RUFUOS MOTMOT",
+    "436": "SAMATRAN THRUSH",
+    "437": "SAND MARTIN",
+    "438": "SANDHILL CRANE",
+    "439": "SATYR TRAGOPAN",
+    "440": "SAYS PHOEBE",
+    "441": "SCARLET CROWNED FRUIT DOVE",
+    "442": "SCARLET FACED LIOCICHLA",
+    "443": "SCARLET IBIS",
+    "444": "SCARLET MACAW",
+    "445": "SCARLET TANAGER",
+    "446": "SHOEBILL",
+    "447": "SHORT BILLED DOWITCHER",
+    "448": "SMITHS LONGSPUR",
+    "449": "SNOW GOOSE",
+    "450": "SNOW PARTRIDGE",
+    "451": "SNOWY EGRET",
+    "452": "SNOWY OWL",
+    "453": "SNOWY PLOVER",
+    "454": "SNOWY SHEATHBILL",
+    "455": "SORA",
+    "456": "SPANGLED COTINGA",
+    "457": "SPLENDID WREN",
+    "458": "SPOON BILED SANDPIPER",
+    "459": "SPOTTED CATBIRD",
+    "460": "SPOTTED WHISTLING DUCK",
+    "461": "SQUACCO HERON",
+    "462": "SRI LANKA BLUE MAGPIE",
+    "463": "STEAMER DUCK",
+    "464": "STORK BILLED KINGFISHER",
+    "465": "STRIATED CARACARA",
+    "466": "STRIPED OWL",
+    "467": "STRIPPED MANAKIN",
+    "468": "STRIPPED SWALLOW",
+    "469": "SUNBITTERN",
+    "470": "SUPERB STARLING",
+    "471": "SURF SCOTER",
+    "472": "SWINHOES PHEASANT",
+    "473": "TAILORBIRD",
+    "474": "TAIWAN MAGPIE",
+    "475": "TAKAHE",
+    "476": "TASMANIAN HEN",
+    "477": "TAWNY FROGMOUTH",
+    "478": "TEAL DUCK",
+    "479": "TIT MOUSE",
+    "480": "TOUCHAN",
+    "481": "TOWNSENDS WARBLER",
+    "482": "TREE SWALLOW",
+    "483": "TRICOLORED BLACKBIRD",
+    "484": "TROPICAL KINGBIRD",
+    "485": "TRUMPTER SWAN",
+    "486": "TURKEY VULTURE",
+    "487": "TURQUOISE MOTMOT",
+    "488": "UMBRELLA BIRD",
+    "489": "VARIED THRUSH",
+    "490": "VEERY",
+    "491": "VENEZUELIAN TROUPIAL",
+    "492": "VERDIN",
+    "493": "VERMILION FLYCATHER",
+    "494": "VICTORIA CROWNED PIGEON",
+    "495": "VIOLET BACKED STARLING",
+    "496": "VIOLET CUCKOO",
+    "497": "VIOLET GREEN SWALLOW",
+    "498": "VIOLET TURACO",
+    "499": "VISAYAN HORNBILL",
+    "500": "VULTURINE GUINEAFOWL",
+    "501": "WALL CREAPER",
+    "502": "WATTLED CURASSOW",
+    "503": "WATTLED LAPWING",
+    "504": "WHIMBREL",
+    "505": "WHITE BREASTED WATERHEN",
+    "506": "WHITE BROWED CRAKE",
+    "507": "WHITE CHEEKED TURACO",
+    "508": "WHITE CRESTED HORNBILL",
+    "509": "WHITE EARED HUMMINGBIRD",
+    "510": "WHITE NECKED RAVEN",
+    "511": "WHITE TAILED TROPIC",
+    "512": "WHITE THROATED BEE EATER",
+    "513": "WILD TURKEY",
+    "514": "WILLOW PTARMIGAN",
+    "515": "WILSONS BIRD OF PARADISE",
+    "516": "WOOD DUCK",
+    "517": "WOOD THRUSH",
+    "518": "WOODLAND KINGFISHER",
+    "519": "WRENTIT",
+    "520": "YELLOW BELLIED FLOWERPECKER",
+    "521": "YELLOW BREASTED CHAT",
+    "522": "YELLOW CACIQUE",
+    "523": "YELLOW HEADED BLACKBIRD",
+    "524": "ZEBRA DOVE"
+  },
+  "image_size": 260,
+  "in_channels": [
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+    16,
+    24,
+    40,
+    80,
+    112,
+    192
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+  "initializer_range": 0.02,
+  "kernel_sizes": [
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+    3,
+    5,
+    5,
+    3
+  ],
+  "label2id": {
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+    "AFRICAN CROWNED CRANE": 3,
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+    "AFRICAN FIREFINCH": 5,
+    "AFRICAN OYSTER CATCHER": 6,
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+    "AFRICAN PYGMY GOOSE": 8,
+    "ALBATROSS": 9,
+    "ALBERTS TOWHEE": 10,
+    "ALEXANDRINE PARAKEET": 11,
+    "ALPINE CHOUGH": 12,
+    "ALTAMIRA YELLOWTHROAT": 13,
+    "AMERICAN AVOCET": 14,
+    "AMERICAN BITTERN": 15,
+    "AMERICAN COOT": 16,
+    "AMERICAN DIPPER": 17,
+    "AMERICAN FLAMINGO": 18,
+    "AMERICAN GOLDFINCH": 19,
+    "AMERICAN KESTREL": 20,
+    "AMERICAN PIPIT": 21,
+    "AMERICAN REDSTART": 22,
+    "AMERICAN ROBIN": 23,
+    "AMERICAN WIGEON": 24,
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+    "ANDEAN GOOSE": 26,
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+    "ANHINGA": 29,
+    "ANIANIAU": 30,
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+    "ANTBIRD": 32,
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+    "APAPANE": 34,
+    "APOSTLEBIRD": 35,
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+    "ASIAN DOLLARD BIRD": 40,
+    "ASIAN GREEN BEE EATER": 41,
+    "ASIAN OPENBILL STORK": 42,
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+    "AUSTRAL CANASTERO": 44,
+    "AUSTRALASIAN FIGBIRD": 45,
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+    "AZURE JAY": 49,
+    "AZURE TANAGER": 50,
+    "AZURE TIT": 51,
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+    "BALTIMORE ORIOLE": 56,
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+    "BARROWS GOLDENEYE": 66,
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+    "BEARDED BARBET": 68,
+    "BEARDED BELLBIRD": 69,
+    "BEARDED REEDLING": 70,
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+    "BIRD OF PARADISE": 72,
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+    "BLACK BREASTED PUFFBIRD": 75,
+    "BLACK COCKATO": 76,
+    "BLACK FACED SPOONBILL": 77,
+    "BLACK FRANCOLIN": 78,
+    "BLACK HEADED CAIQUE": 79,
+    "BLACK NECKED STILT": 80,
+    "BLACK SKIMMER": 81,
+    "BLACK SWAN": 82,
+    "BLACK TAIL CRAKE": 83,
+    "BLACK THROATED BUSHTIT": 84,
+    "BLACK THROATED HUET": 85,
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+    "BLACK VENTED SHEARWATER": 87,
+    "BLACK VULTURE": 88,
+    "BLACK-CAPPED CHICKADEE": 89,
+    "BLACK-NECKED GREBE": 90,
+    "BLACK-THROATED SPARROW": 91,
+    "BLACKBURNIAM WARBLER": 92,
+    "BLONDE CRESTED WOODPECKER": 93,
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+    "BLUE COAU": 95,
+    "BLUE DACNIS": 96,
+    "BLUE GRAY GNATCATCHER": 97,
+    "BLUE GROSBEAK": 98,
+    "BLUE GROUSE": 99,
+    "BLUE HERON": 100,
+    "BLUE MALKOHA": 101,
+    "BLUE THROATED PIPING GUAN": 102,
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+    "BREWERS BLACKBIRD": 109,
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+    "BROWN HEADED COWBIRD": 111,
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+    "BUFFLEHEAD": 114,
+    "BULWERS PHEASANT": 115,
+    "BURCHELLS COURSER": 116,
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+    "CAATINGA CACHOLOTE": 118,
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+    "CALIFORNIA GULL": 122,
+    "CALIFORNIA QUAIL": 123,
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+    "CANARY": 125,
+    "CANVASBACK": 126,
+    "CAPE GLOSSY STARLING": 127,
+    "CAPE LONGCLAW": 128,
+    "CAPE MAY WARBLER": 129,
+    "CAPE ROCK THRUSH": 130,
+    "CAPPED HERON": 131,
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+    "CARMINE BEE-EATER": 133,
+    "CASPIAN TERN": 134,
+    "CASSOWARY": 135,
+    "CEDAR WAXWING": 136,
+    "CERULEAN WARBLER": 137,
+    "CHARA DE COLLAR": 138,
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+    "CHESTNET BELLIED EUPHONIA": 140,
+    "CHESTNUT WINGED CUCKOO": 141,
+    "CHINESE BAMBOO PARTRIDGE": 142,
+    "CHINESE POND HERON": 143,
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+    "CHUCAO TAPACULO": 145,
+    "CHUKAR PARTRIDGE": 146,
+    "CINNAMON ATTILA": 147,
+    "CINNAMON FLYCATCHER": 148,
+    "CINNAMON TEAL": 149,
+    "CLARKS GREBE": 150,
+    "CLARKS NUTCRACKER": 151,
+    "COCK OF THE  ROCK": 152,
+    "COCKATOO": 153,
+    "COLLARED ARACARI": 154,
+    "COLLARED CRESCENTCHEST": 155,
+    "COMMON FIRECREST": 156,
+    "COMMON GRACKLE": 157,
+    "COMMON HOUSE MARTIN": 158,
+    "COMMON IORA": 159,
+    "COMMON LOON": 160,
+    "COMMON POORWILL": 161,
+    "COMMON STARLING": 162,
+    "COPPERSMITH BARBET": 163,
+    "COPPERY TAILED COUCAL": 164,
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+    "CRANE HAWK": 166,
+    "CREAM COLORED WOODPECKER": 167,
+    "CRESTED AUKLET": 168,
+    "CRESTED CARACARA": 169,
+    "CRESTED COUA": 170,
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+    "CRESTED KINGFISHER": 172,
+    "CRESTED NUTHATCH": 173,
+    "CRESTED OROPENDOLA": 174,
+    "CRESTED SERPENT EAGLE": 175,
+    "CRESTED SHRIKETIT": 176,
+    "CRESTED WOOD PARTRIDGE": 177,
+    "CRIMSON CHAT": 178,
+    "CRIMSON SUNBIRD": 179,
+    "CROW": 180,
+    "CUBAN TODY": 181,
+    "CUBAN TROGON": 182,
+    "CURL CRESTED ARACURI": 183,
+    "D-ARNAUDS BARBET": 184,
+    "DALMATIAN PELICAN": 185,
+    "DARJEELING WOODPECKER": 186,
+    "DARK EYED JUNCO": 187,
+    "DAURIAN REDSTART": 188,
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+    "DOUBLE BRESTED CORMARANT": 191,
+    "DOUBLE EYED FIG PARROT": 192,
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+    "EASTERN BLUEBONNET": 199,
+    "EASTERN GOLDEN WEAVER": 200,
+    "EASTERN MEADOWLARK": 201,
+    "EASTERN ROSELLA": 202,
+    "EASTERN TOWEE": 203,
+    "EASTERN WIP POOR WILL": 204,
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+    "EMPEROR PENGUIN": 211,
+    "EMU": 212,
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+    "EURASIAN MAGPIE": 216,
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+    "FAIRY PENGUIN": 221,
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+    "FAN TAILED WIDOW": 223,
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+    "FIRE TAILLED MYZORNIS": 227,
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+    "FLAME TANAGER": 229,
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+    "GANG GANG COCKATOO": 234,
+    "GILA WOODPECKER": 235,
+    "GILDED FLICKER": 236,
+    "GLOSSY IBIS": 237,
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+    "GOLD WING WARBLER": 239,
+    "GOLDEN BOWER BIRD": 240,
+    "GOLDEN CHEEKED WARBLER": 241,
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+    "GOLDEN PARAKEET": 244,
+    "GOLDEN PHEASANT": 245,
+    "GOLDEN PIPIT": 246,
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+    "GRANDALA": 248,
+    "GRAY CATBIRD": 249,
+    "GRAY KINGBIRD": 250,
+    "GRAY PARTRIDGE": 251,
+    "GREAT ARGUS": 252,
+    "GREAT GRAY OWL": 253,
+    "GREAT JACAMAR": 254,
+    "GREAT KISKADEE": 255,
+    "GREAT POTOO": 256,
+    "GREAT TINAMOU": 257,
+    "GREAT XENOPS": 258,
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+    "GREATER PRAIRIE CHICKEN": 260,
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+    "GREEN BROADBILL": 262,
+    "GREEN JAY": 263,
+    "GREEN MAGPIE": 264,
+    "GREEN WINGED DOVE": 265,
+    "GREY CUCKOOSHRIKE": 266,
+    "GREY HEADED CHACHALACA": 267,
+    "GREY HEADED FISH EAGLE": 268,
+    "GREY PLOVER": 269,
+    "GROVED BILLED ANI": 270,
+    "GUINEA TURACO": 271,
+    "GUINEAFOWL": 272,
+    "GURNEYS PITTA": 273,
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+    "HARLEQUIN DUCK": 276,
+    "HARLEQUIN QUAIL": 277,
+    "HARPY EAGLE": 278,
+    "HAWAIIAN GOOSE": 279,
+    "HAWFINCH": 280,
+    "HELMET VANGA": 281,
+    "HEPATIC TANAGER": 282,
+    "HIMALAYAN BLUETAIL": 283,
+    "HIMALAYAN MONAL": 284,
+    "HOATZIN": 285,
+    "HOODED MERGANSER": 286,
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+    "HORNED LARK": 289,
+    "HORNED SUNGEM": 290,
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+    "INDIAN ROLLER": 300,
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+    "INDIGO BUNTING": 302,
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+    "JABIRU": 308,
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+    "JACOBIN PIGEON": 310,
+    "JANDAYA PARAKEET": 311,
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+    "JOCOTOCO ANTPITTA": 314,
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+    "KAKAPO": 316,
+    "KILLDEAR": 317,
+    "KING EIDER": 318,
+    "KING VULTURE": 319,
+    "KIWI": 320,
+    "KNOB BILLED DUCK": 321,
+    "KOOKABURRA": 322,
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+    "LAUGHING GULL": 324,
+    "LAZULI BUNTING": 325,
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+    "LIMPKIN": 328,
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+    "LOONEY BIRDS": 332,
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+    "MALABAR HORNBILL": 335,
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+    "MANDRIN DUCK": 340,
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+    "MARABOU STORK": 342,
+    "MASKED BOBWHITE": 343,
+    "MASKED BOOBY": 344,
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+    "NORTHERN FULMAR": 357,
+    "NORTHERN GANNET": 358,
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+    "NORTHERN MOCKINGBIRD": 361,
+    "NORTHERN PARULA": 362,
+    "NORTHERN RED BISHOP": 363,
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+    "ORIENTAL BAY OWL": 370,
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+    "PARUS MAJOR": 381,
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+    "PURPLE GALLINULE": 393,
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+    "PURPLE SWAMPHEN": 395,
+    "PYGMY KINGFISHER": 396,
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+    "RED HEADED WOODPECKER": 410,
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+    "RED SHOULDERED HAWK": 414,
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+    "RED WISKERED BULBUL": 418,
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+    "ROSE BREASTED COCKATOO": 423,
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+    "ROYAL FLYCATCHER": 428,
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+    "RUBY THROATED HUMMINGBIRD": 430,
+    "RUDDY SHELDUCK": 431,
+    "RUDY KINGFISHER": 432,
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+    "VIOLET BACKED STARLING": 495,
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+    "WHITE BREASTED WATERHEN": 505,
+    "WHITE BROWED CRAKE": 506,
+    "WHITE CHEEKED TURACO": 507,
+    "WHITE CRESTED HORNBILL": 508,
+    "WHITE EARED HUMMINGBIRD": 509,
+    "WHITE NECKED RAVEN": 510,
+    "WHITE TAILED TROPIC": 511,
+    "WHITE THROATED BEE EATER": 512,
+    "WILD TURKEY": 513,
+    "WILLOW PTARMIGAN": 514,
+    "WILSONS BIRD OF PARADISE": 515,
+    "WOOD DUCK": 516,
+    "WOOD THRUSH": 517,
+    "WOODLAND KINGFISHER": 518,
+    "WRENTIT": 519,
+    "YELLOW BELLIED FLOWERPECKER": 520,
+    "YELLOW BREASTED CHAT": 521,
+    "YELLOW CACIQUE": 522,
+    "YELLOW HEADED BLACKBIRD": 523,
+    "ZEBRA DOVE": 524
+  },
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
+  ],
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
+  ],
+  "pooling_type": "mean",
+  "squeeze_expansion_ratio": 0.25,
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "width_coefficient": 1.1
+}

birds-classifier-efficientnetb2/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22638ea5e4d128de83610863180aec15cab1e141090bd6170520cfee76c2cf17
+size 34099540

birds-classifier-efficientnetb2/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "EfficientNetImageProcessor",
+  "image_std": [
+    0.47853944,
+    0.4732864,
+    0.47434163
+  ],
+  "include_top": true,
+  "resample": 0,
+  "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
+  "size": {
+    "height": 260,
+    "width": 260
+  }
+}

main.py

@@ -0,0 +1,342 @@
+#pip install fastapi   ###for fastapi
+#pip install uvicorn   ###for server. to run the api serice from terminal: uvicorn main:app --reload
+#pip install gunicorn  ###gunicorn --bind 0.0.0.0:8000 -k uvicorn.workers.UvicornWorker main:app
+#pip install python-multipart     ###for UploadFile
+#pip install pillow    ###for PIL
+#pip install transformers          ###for transformers
+#pip install torch     ###for torch
+#pip install sentencepiece        ###for AutoTokenizer
+#pip install -U cos-python-sdk-v5      ###腾讯云对象存储SDK（COS-SDK）
+
+from typing import Optional
+from fastapi import FastAPI, Header
+from PIL import Image
+#from transformers import pipeline, EfficientNetImageProcessor, EfficientNetForImageClassification, AutoTokenizer, AutoModelForSeq2SeqLM
+import torch
+from transformers import EfficientNetImageProcessor, EfficientNetForImageClassification, pipeline
+from models import ItemInHistory, ItemUploaded, ServiceLoginInfo
+from openai import OpenAI
+
+from qcloud_cos import CosConfig, CosS3Client
+import sys, os, logging
+import urllib.parse as urlparse
+import json, requests
+
+# class Conversation:
+#     def __init__(self, openai_client: OpenAI, prompt, num_of_round):
+#         self.openai_client = openai_client
+#         self.prompt = prompt
+#         self.num_of_round = num_of_round
+#         self.messages = []
+#         self.messages.append({"role": "system", "content": self.prompt})
+
+#     def ask(self, question):
+#         message = ''
+#         num_of_tokens = 0
+#         try:
+#             self.messages.append( {"role": "user", "content": question})
+#             chat_completion = self.openai_client.chat.completions.create(
+#                 model="gpt-3.5-turbo",
+#                 messages=self.messages,
+#                 temperature=0.5,
+#                 max_tokens=2048,
+#                 top_p=1,
+#             )
+#             message = chat_completion.choices[0].message.content
+#             # num_of_tokens = chat_completion.usage.total_tokens
+#             self.messages.append({"role": "assistant", "content": message})
+            
+#         except Exception as e:
+#             print(e)
+#             return e
+
+#         if len(self.messages) > self.num_of_round*2 + 1:
+#             del self.messages[1:3]
+#         return message, num_of_tokens
+
+
+app = FastAPI()
+logging.basicConfig(level=logging.INFO, stream=sys.stdout)
+
+cos_secret_id = os.environ['COS_SECRET_ID']
+cos_secret_key = os.environ['COS_SECRET_KEY']
+cos_region = 'ap-shanghai'
+cos_bucket = '7072-prod-3g52ms9o7a81f23c-1324125412'
+token = None
+scheme = 'https'
+config = CosConfig(Region=cos_region, SecretId=cos_secret_id, SecretKey=cos_secret_key, Token=token, Scheme=scheme)
+client = CosS3Client(config)
+logging.info(f"COS init succeeded.")
+
+
+try:
+    ai_model_bc_preprocessor = EfficientNetImageProcessor.from_pretrained("./birds-classifier-efficientnetb2")
+    ai_model_bc_model = EfficientNetForImageClassification.from_pretrained("./birds-classifier-efficientnetb2")
+    logging.info(f"local model dennisjooo/Birds-Classifier-EfficientNetB2 loaded.")
+    
+except Exception as e:
+    logging.error(e)
+
+try:
+    openai_client = OpenAI(
+        api_key=os.environ.get("OPENAI_API_KEY"),
+    )
+    # prompt = """你是一个鸟类学家，用中文回答关于鸟类的问题。你的回答需要满足以下要求:
+    # 1. 你的回答必须是中文
+    # 2. 回答限制在100个字以内"""
+    # conv = Conversation(open_client, prompt, 3)
+    logging.info(f"openai chat model loaded.")
+except Exception as e:
+    logging.error(e)
+
+try:
+   ai_model_bc_pipe= pipeline("image-classification", model="dennisjooo/Birds-Classifier-EfficientNetB2")
+   logging.info(f"remote model dennisjooo/Birds-Classifier-EfficientNetB2 loaded.")
+
+except Exception as e:
+   print(e)
+
+#try:
+#    ai_model_ez_preprocessor = AutoTokenizer.from_pretrained("./opus-mt-en-zh")
+#    ai_model_ez_model = AutoModelForSeq2SeqLM.from_pretrained("./opus-mt-en-zh")
+#    print(f"local model Helsinki-NLP/opus-mt-en-zh loaded.")
+#except Exception as e:
+#    print(e)
+
+#try:
+#    ai_model_ez_pipe= pipeline(task="translation_en_to_zh", model="Helsinki-NLP/opus-mt-en-zh", device=0)
+#    print(f"remote model Helsinki-NLP/opus-mt-en-zh loaded.")
+
+#except Exception as e:
+#    print(e)
+
+def bird_classifier(image_file: str) -> str:
+    # Opening the image using PIL
+    img = Image.open(image_file)
+    logging.info(f"image file {image_file} is opened.")
+
+    result:str = ""
+    try:
+        inputs = ai_model_bc_preprocessor(img, return_tensors="pt")
+
+        # Running the inference
+        with torch.no_grad():
+            logits = ai_model_bc_model(**inputs).logits
+
+        # Getting the predicted label
+        predicted_label = logits.argmax(-1).item()
+        result = ai_model_bc_model.config.id2label[predicted_label]
+        logging.info(f"{ai_model_bc_model.config.id2label[predicted_label]}:{ai_model_bc_pipe(img)[0]['label']}")
+    except Exception as e:
+        logging.error(e)
+        
+
+    logging.info(result)
+    return result
+
+# def text_en_zh(text_en: str) -> str:
+#     text_zh = ""
+#     if ai_model_ez_status is MODEL_STATUS.LOCAL:
+#         input = ai_model_ez_preprocessor(text_en)
+#         translated = ai_model_ez_model.generate(**ai_model_ez_preprocessor(text_en, return_tensors="pt", padding=True))
+#         for t in translated:
+#             text_zh += ai_model_ez_preprocessor.decode(t, skip_special_tokens=True)
+#     elif ai_model_ez_status is MODEL_STATUS.REMOTE:
+#         text_zh = ai_model_ez_pipe(text_en)
+
+#     return text_zh
+
+# Route to upload a file
+# @app.post("/uploadfile/")
+# async def create_upload_file(file: UploadFile):
+#     contents: bytes = await file.read()
+#     contents_len = len(contents)
+#     file_name = file.filename
+#     server_file_name = f"server-{file_name}"
+#     with open(server_file_name,"wb") as server_file:
+#         server_file.write(contents)
+    
+#     logging.info(f"{file_name} is received and saved as {server_file_name}.")
+    
+#     bird_classification = bird_classifier(server_file_name)
+    
+#     # if bird_classification != "":
+#     #     bird_classification = "the species of bird is " + bird_classification
+#     #     bird_classification = text_en_zh(bird_classification)
+    
+#     logging.info(f"AI feedback: {bird_classification}.")
+    
+#     return {"filename": server_file_name, "AI feedback": bird_classification}
+
+# Route to login to zhizhi-service
+@app.post("/login/")
+def service_login(item: ServiceLoginInfo):
+    logging.info("service_login")
+    logging.info(item)
+    
+    code2Session = f"http://api.weixin.qq.com/sns/jscode2session?appid={item.appid}&secret={item.secret}&js_code={item.js_code}&grant_type={item.grant_type}"
+    logging.info(code2Session)
+
+    response = requests.get(code2Session)
+    json_response = response.json()
+    logging.info(json_response)
+
+    return {"user_openid": json_response.get("openid")}
+
+# Route to create an item
+@app.post("/items/")
+async def create_item(item: ItemUploaded, x_wx_openid: Optional[str]=Header(None)):
+    logging.info("create_item")
+    logging.info(item)
+    logging.info(x_wx_openid)
+
+    if x_wx_openid is None:
+        x_wx_openid = ""
+    
+    url = urlparse.urlparse(item.item_fileurl)
+    key = url[2][1::]
+    bucket = url[1].split('.')[1]
+    contentfile = key.split('/')[1]
+    historyid = contentfile.split('.')[0]
+    # historyfile = f'{historyid}.json'
+
+    response = client.get_object(
+        Bucket = bucket,
+        Key = key
+    )
+    response['Body'].get_stream_to_file(contentfile)
+    if item.item_mediatype == "image":
+        bird_classification = bird_classifier(contentfile)
+        try:
+            # question = f"鸟类的英文名是{bird_classification}，它的中文名是什么？有什么样的习性？"
+            # answer, num_of_tokens = conv.ask(question)
+            # logging.info(f"chatgpt feedback: {answer}.\n")
+
+            prompt = """你是一个鸟类学家，用中文回答关于鸟类的问题。你的回答需要满足以下要求:
+            1. 你的回答必须是中文
+            2. 回答限制在100个字以内"""
+
+            messages = []
+            messages.append({"role": "system", "content": prompt})
+            question = f"鸟类的英文名是{bird_classification}，它的中文名是什么？有什么样的习性？"
+            messages.append( {"role": "user", "content": question})
+            chat_completion = openai_client.chat.completions.create(
+                model="gpt-3.5-turbo",
+                messages=messages,
+                temperature=0.5,
+                max_tokens=2048,
+                top_p=1,
+            )
+            response = chat_completion.choices[0].message.content
+            logging.info(f"chatgpt feedback: {response}.\n")
+
+        except Exception as e:
+            logging.error(e)
+    else:
+        bird_classification = "不是image类型，暂不能识别"
+
+    logging.info(f"AI feedback: {bird_classification}.\n")
+
+    historyfile = itemToJsonFile(ItemInHistory(history_id = historyid,union_id = x_wx_openid,
+                                        item_fileurl = item.item_fileurl,item_mediatype = item.item_mediatype,
+                                        upload_datetime = item.upload_datetime,ai_feedback = bird_classification))
+
+    response = client.upload_file(
+        Bucket = cos_bucket,
+        LocalFilePath=historyfile,
+        Key=f'{x_wx_openid}/history/{historyfile}',
+        PartSize=1,
+        MAXThread=10,
+        EnableMD5=False
+    )
+    logging.info(response['ETag'])
+
+
+    return {"filename": historyfile, "AI feedback": bird_classification}
+
+# Route to list all items uploaded by a specific user by unionid
+# @app.get("/items/{user_unionid}")
+# def list_items(user_unionid: str) -> dict[str, list[ItemInHistory]]:
+#     logging.info("list_items")
+#     logging.info(user_unionid)
+
+#     items: list[ItemInHistory] = []
+
+#     response = client.list_objects(
+#         Bucket=cos_bucket,
+#         Prefix=f'{user_unionid}/history/'
+#     )
+
+#     logging.info(response['Contents'])
+    
+#     for obj in response['Contents']:
+#         key:str = obj['Key']
+#         response = client.get_object(
+#             Bucket = cos_bucket,
+#             Key = key
+#         )
+#         localfile = key.split('/')[2]
+#         response['Body'].get_stream_to_file(localfile)
+
+#         item = itemFromJsonFile(localfile)
+#         items.append(item)
+
+    return {"items": items}
+
+# Route to list all items uploaded by a specific user by unionid from header
+@app.get("/items/")
+def list_items_byheader(x_wx_openid: Optional[str]=Header(None)) -> dict[str, list[ItemInHistory]]:
+    logging.info("list_items_byheader")
+    logging.info(x_wx_openid)
+
+    items: list[ItemInHistory] = []
+
+    response = client.list_objects(
+        Bucket=cos_bucket,
+        Prefix=f'{x_wx_openid}/history/'
+    )
+
+    logging.info(response['Contents'])
+    
+    for obj in response['Contents']:
+        key:str = obj['Key']
+        response = client.get_object(
+            Bucket = cos_bucket,
+            Key = key
+        )
+        localfile = key.split('/')[2]
+        response['Body'].get_stream_to_file(localfile)
+
+        item = itemFromJsonFile(localfile)
+        items.append(item)
+
+    return {"items": items}
+
+
+def itemFromJsonFile(jsonfile: str) -> ItemInHistory:
+    f = open(jsonfile, 'r')
+    content = f.read()
+    a = json.loads(content)
+    f.close()
+    return ItemInHistory(history_id = a['history_id'],union_id = a['union_id'],
+                         item_fileurl = a['item_fileurl'],item_mediatype = a["item_mediatype"],
+                         upload_datetime = a["upload_datetime"],ai_feedback = a['ai_feedback'])
+
+
+def itemToJsonFile(item: ItemInHistory):
+    history_json = {
+        "history_id": item.history_id,
+        "union_id": item.union_id,
+        "item_fileurl": item.item_fileurl,
+        "item_mediatype": item.item_mediatype,
+        "upload_datetime": item.upload_datetime,
+        "ai_feedback": item.ai_feedback
+    }
+    b = json.dumps(history_json)
+    historyfile = f'{item.history_id}.json'
+    f = open(historyfile, 'w')
+    f.write(b)
+    f.close()
+
+    return historyfile
+

models.py

@@ -0,0 +1,24 @@
+from ctypes import Union
+from typing import Optional
+from pydantic import BaseModel, Field
+import json
+
+class ItemUploaded(BaseModel):
+    union_id: str = Field(title="the user unionid of the item uploaded",examples=["oR_-n69II04mrTuFOFyqiAt_Wgbk"])
+    item_fileurl: str = Field(title="the file url of the item uploaded",examples=["cloud://prod-3g52ms9o7a81f23c.7072-prod-3g52ms9o7a81f23c-1324125412/oR_-n69II04mrTuFOFyqiAt_Wgbk/202402022042282841.jpg"])
+    item_mediatype: str = Field(title="the media type of the item uploaded",examples=["image"])
+    upload_datetime: str = Field(title="the upload datetime of the item uploaded",examples=["2024-2-1 17:20:18"])
+
+class ItemInHistory(BaseModel):
+    history_id: str = Field(title="the unique id of the item in history",examples=["20240131003701985"])
+    union_id: str = Field(title="the user unionid of the item in history",examples=["oR_-n69II04mrTuFOFyqiAt_Wgbk"])
+    item_fileurl: str = Field(title="the file url of the item in history",examples=["cloud://prod-3g52ms9o7a81f23c.7072-prod-3g52ms9o7a81f23c-1324125412/oR_-n69II04mrTuFOFyqiAt_Wgbk/20240131003701985.jpg"])
+    item_mediatype: str = Field(title="the media type of the item in history",examples=["image"])
+    upload_datetime: str = Field(title="the upload datetime of the item in history",examples=["2024-2-1 17:20:18"])
+    ai_feedback: str = Field(title="the ai feedback to the item in history",examples=["AZARAS SPINETAIL"])
+
+class ServiceLoginInfo(BaseModel):
+    appid: str = Field(title="appid of wx miniprogram",examples=[""])
+    secret: str = Field(title="secret of wx miniprogram",examples=[""])
+    js_code: str = Field(title="res.code return from wx.login()",examples=[""])
+    grant_type: str = Field(title="grant_type = authorization_code",examples=["authorization_code"])

requirements.txt

@@ -0,0 +1,48 @@
+annotated-types==0.6.0
+anyio==4.2.0
+certifi==2023.11.17
+charset-normalizer==3.3.2
+click==8.1.7
+cos-python-sdk-v5==1.9.27
+crcmod==1.7
+distro==1.9.0
+fastapi==0.109.0
+filelock==3.13.1
+fsspec==2023.12.2
+gunicorn==21.2.0
+h11==0.14.0
+httpcore==1.0.2
+httpx==0.26.0
+huggingface-hub==0.20.3
+idna==3.6
+iniconfig==2.0.0
+Jinja2==3.1.3
+MarkupSafe==2.1.4
+mpmath==1.3.0
+networkx==3.2.1
+numpy==1.26.3
+openai==1.10.0
+packaging==23.2
+pillow==10.2.0
+pluggy==1.4.0
+pycryptodome==3.20.0
+pydantic==2.5.3
+pydantic_core==2.14.6
+pytest==8.0.0
+python-multipart==0.0.6
+PyYAML==6.0.1
+regex==2023.12.25
+requests==2.31.0
+safetensors==0.4.2
+six==1.16.0
+sniffio==1.3.0
+starlette==0.35.1
+sympy==1.12
+tokenizers==0.15.1
+torch==2.1.2
+tqdm==4.66.1
+transformers==4.37.1
+typing_extensions==4.9.0
+urllib3==2.1.0
+uvicorn==0.27.0
+xmltodict==0.13.0