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README.md

@@ -1,12 +1,6 @@
 ---
-title: Skin Cancer Classifier
-emoji: 👀
-colorFrom: yellow
-colorTo: yellow
+title: Skin_Cancer_Classifier
+app_file: main.py
 sdk: gradio
-sdk_version: 4.38.1
-app_file: app.py
-pinned: false
+sdk_version: 4.25.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline("image-classification", model="jhoppanne/SkinCancerClassifier_Plain-V0")
+
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions} 
+
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Image(label="Input Skin Image", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="How severe is my Skin Cancer?",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()

requirements.txt

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+# Python 3.10.14
+gradio==4.25.0
+transformers==4.37.2
+torch
+numpy
+pillow==10.3.0