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README.md

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 ---
+title: Lung Cancer
+emoji: 🏆
+colorFrom: red
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.40.1
+app_file: app.py
+pinned: false
 license: mit
 ---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export 1.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    prediction = str(pred)
+    
+    return prediction
+
+
+title = "Lung cancer detection with Deep Transfer Learning(ResNet152 model)"
+description = "<p style='text-align: center'><b>As a radiologist or oncologist, it is crucial to know what is wrong with a lung CT image.<b><br><b>Upload the breast X-ray image to know what is wrong with a patients breast with or without inplant<b><p>"
+article="<p style='text-align: center'>Web app is built and managed by Mr.<b></p>"
+examples = ['img 1.png', 'img 2.png']
+enable_queue=True
+#interpretation='default'
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,enable_queue=enable_queue).launch()

export 1.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5cb142c417ea2bf7ac6045ac2ff3a641954047748ceb103d0f3a63982df131bc
+size 102902266

gitattributes.txt

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requirements.txt

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+fastai
+scikit-image