Add main files

app.py

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+from fastai.vision.all import *
+from pathlib import Path
+import gradio as gr
+import skimage
+
+path = Path('export.pkl')
+learn_inf = load_learner(path)
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]:float(probs[i]) for i in range(len(labels))}
+
+title = "Pneumonia Classification using Pulmonary X-Ray Images"
+description = "An app designed to classify and distinguish between x-ray images of bacterial pneumonia, viral pneumonia and pulmonary health. Developed using the FastAI library and the V7 Lab COVID-19 X-Ray Dataset."
+examples = ['xray_1.png']
+enable_queue = True
+
+gr.Interface(fn = predict, inputs = gr.inputs.Image(shape = (512, 512)), outputs = gr.outputs.Label(num_top_classes = 3), title = title, description = description, examples = examples, enable_queue = True).launch(share=True)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a1667d9690f4e522ca9ac32d97b4e95a96e36c0703ad23e710b14afa10759a37
+size 46994159

requirements.txt

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+fastai
+scikit-image