first commit

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from fastai.vision.all import *
+import pathlib
+import os
+
+# Load the exported model
+learn = load_learner("model.pkl")
+
+# Define prediction function
+def predict(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return f"Prediction: {pred} (Confidence: {probs[pred_idx]:.4f})"
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil", label="Upload a digit image (3 or 7 only)"),
+    outputs="text",
+    title="MNIST Digit Classifier (3 vs 7)",
+    description="Upload an image of a handwritten digit. Only digits 3 and 7 will work!"
+)
+
+if __name__ == "__main__":
+    interface.launch()

model_mnist.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:267c795658e8d9d63ccec667fd1e1b9feddfeace368cf22f060ac9531d9f2c78
+size 87663138

requirements.txt

@@ -0,0 +1,2 @@
+fastai==2.7.12
+gradio==4.26.0