Add all

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+from transformers import pipeline, AutoConfig, AutoModelForImageClassification, AutoImageProcessor
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+config = AutoConfig.from_pretrained("./model/checkpoint-9730/config.json")
+model = AutoModelForImageClassification.from_pretrained(
+    "./model/checkpoint-9730/", config=config
+)
+image_processor  = AutoImageProcessor.from_pretrained("./model/checkpoint-9730/")
+
+
+pipe = pipeline("image-classification", model=model, feature_extractor=image_processor)
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload Skin Disease Image", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title="Detect your skin disease",
+).launch()

model/all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.7673663168415792,
+    "eval_loss": 0.8717091679573059,
+    "eval_runtime": 78.6297,
+    "eval_samples_per_second": 50.897,
+    "eval_steps_per_second": 3.192,
+    "total_flos": 1.232466345637632e+19,
+    "train_loss": 0.6940609043573182,
+    "train_runtime": 7099.3654,
+    "train_samples_per_second": 21.913,
+    "train_steps_per_second": 1.371
+}

model/checkpoint-9730/config.json

@@ -0,0 +1,93 @@
+{
+  "_name_or_path": "facebook/convnextv2-base-22k-224",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "Acne and Rosacea Photos",
+    "1": "Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions",
+    "2": "Atopic Dermatitis Photos",
+    "3": "Bullous Disease Photos",
+    "4": "Cellulitis Impetigo and other Bacterial Infections",
+    "5": "Eczema Photos",
+    "6": "Exanthems and Drug Eruptions",
+    "7": "Hair Loss Photos Alopecia and other Hair Diseases",
+    "8": "Herpes HPV and other STDs Photos",
+    "9": "Light Diseases and Disorders of Pigmentation",
+    "10": "Lupus and other Connective Tissue diseases",
+    "11": "Melanoma Skin Cancer Nevi and Moles",
+    "12": "Nail Fungus and other Nail Disease",
+    "13": "Poison Ivy Photos and other Contact Dermatitis",
+    "14": "Psoriasis pictures Lichen Planus and related diseases",
+    "15": "Scabies Lyme Disease and other Infestations and Bites",
+    "16": "Seborrheic Keratoses and other Benign Tumors",
+    "17": "Systemic Disease",
+    "18": "Tinea Ringworm Candidiasis and other Fungal Infections",
+    "19": "Urticaria Hives",
+    "20": "Vascular Tumors",
+    "21": "Vasculitis Photos",
+    "22": "Warts Molluscum and other Viral Infections"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Acne and Rosacea Photos": 0,
+    "Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions": 1,
+    "Atopic Dermatitis Photos": 2,
+    "Bullous Disease Photos": 3,
+    "Cellulitis Impetigo and other Bacterial Infections": 4,
+    "Eczema Photos": 5,
+    "Exanthems and Drug Eruptions": 6,
+    "Hair Loss Photos Alopecia and other Hair Diseases": 7,
+    "Herpes HPV and other STDs Photos": 8,
+    "Light Diseases and Disorders of Pigmentation": 9,
+    "Lupus and other Connective Tissue diseases": 10,
+    "Melanoma Skin Cancer Nevi and Moles": 11,
+    "Nail Fungus and other Nail Disease": 12,
+    "Poison Ivy Photos and other Contact Dermatitis": 13,
+    "Psoriasis pictures Lichen Planus and related diseases": 14,
+    "Scabies Lyme Disease and other Infestations and Bites": 15,
+    "Seborrheic Keratoses and other Benign Tumors": 16,
+    "Systemic Disease": 17,
+    "Tinea Ringworm Candidiasis and other Fungal Infections": 18,
+    "Urticaria Hives": 19,
+    "Vascular Tumors": 20,
+    "Vasculitis Photos": 21,
+    "Warts Molluscum and other Viral Infections": 22
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0"
+}

model/checkpoint-9730/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e474a1ee1b411009667be8fb79189354a903e4d45ef5753e5086923c88df28de
+size 702050833

model/checkpoint-9730/preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model/checkpoint-9730/pytorch_model.bin

@@ -0,0 +1,3 @@
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+size 350997885

model/checkpoint-9730/rng_state.pth

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+size 14575

model/checkpoint-9730/scheduler.pt

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+size 627

model/checkpoint-9730/training_args.bin

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+size 4091

model/config.json

@@ -0,0 +1,93 @@
+{
+  "_name_or_path": "facebook/convnextv2-base-22k-224",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "Acne and Rosacea Photos",
+    "1": "Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions",
+    "2": "Atopic Dermatitis Photos",
+    "3": "Bullous Disease Photos",
+    "4": "Cellulitis Impetigo and other Bacterial Infections",
+    "5": "Eczema Photos",
+    "6": "Exanthems and Drug Eruptions",
+    "7": "Hair Loss Photos Alopecia and other Hair Diseases",
+    "8": "Herpes HPV and other STDs Photos",
+    "9": "Light Diseases and Disorders of Pigmentation",
+    "10": "Lupus and other Connective Tissue diseases",
+    "11": "Melanoma Skin Cancer Nevi and Moles",
+    "12": "Nail Fungus and other Nail Disease",
+    "13": "Poison Ivy Photos and other Contact Dermatitis",
+    "14": "Psoriasis pictures Lichen Planus and related diseases",
+    "15": "Scabies Lyme Disease and other Infestations and Bites",
+    "16": "Seborrheic Keratoses and other Benign Tumors",
+    "17": "Systemic Disease",
+    "18": "Tinea Ringworm Candidiasis and other Fungal Infections",
+    "19": "Urticaria Hives",
+    "20": "Vascular Tumors",
+    "21": "Vasculitis Photos",
+    "22": "Warts Molluscum and other Viral Infections"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Acne and Rosacea Photos": 0,
+    "Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions": 1,
+    "Atopic Dermatitis Photos": 2,
+    "Bullous Disease Photos": 3,
+    "Cellulitis Impetigo and other Bacterial Infections": 4,
+    "Eczema Photos": 5,
+    "Exanthems and Drug Eruptions": 6,
+    "Hair Loss Photos Alopecia and other Hair Diseases": 7,
+    "Herpes HPV and other STDs Photos": 8,
+    "Light Diseases and Disorders of Pigmentation": 9,
+    "Lupus and other Connective Tissue diseases": 10,
+    "Melanoma Skin Cancer Nevi and Moles": 11,
+    "Nail Fungus and other Nail Disease": 12,
+    "Poison Ivy Photos and other Contact Dermatitis": 13,
+    "Psoriasis pictures Lichen Planus and related diseases": 14,
+    "Scabies Lyme Disease and other Infestations and Bites": 15,
+    "Seborrheic Keratoses and other Benign Tumors": 16,
+    "Systemic Disease": 17,
+    "Tinea Ringworm Candidiasis and other Fungal Infections": 18,
+    "Urticaria Hives": 19,
+    "Vascular Tumors": 20,
+    "Vasculitis Photos": 21,
+    "Warts Molluscum and other Viral Infections": 22
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0"
+}

model/eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.7673663168415792,
+    "eval_loss": 0.8717091679573059,
+    "eval_runtime": 78.6297,
+    "eval_samples_per_second": 50.897,
+    "eval_steps_per_second": 3.192
+}

model/preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model/pytorch_model.bin

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+size 350997885

model/train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "total_flos": 1.232466345637632e+19,
+    "train_loss": 0.6940609043573182,
+    "train_runtime": 7099.3654,
+    "train_samples_per_second": 21.913,
+    "train_steps_per_second": 1.371
+}

model/training_args.bin

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+size 4091

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch