updated app.py

app.py

@@ -0,0 +1,27 @@
+from fastai.vision.all import *
+import gradio as gr
+
+def get_bmi(): return _
+def get_age(): return _
+def combine_loss(): return _
+def age_loss(): return _
+def bmi_loss(): return _
+
+learn = load_learner("export.pkl")
+
+
+def classify_image(img):
+    tst_dl = learn.dls.test_dl(img)
+    preds,_ = learn.get_preds(dl=tst_dl)
+    result_text = "This is a picture of a " + round(preds[0], 0) + " person with a BMI of" + round(preds[0], 1) + " kg/m^2"
+    return result_text
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['A00147.png','A00360.png','angela lansbury.jpg']
+title = 'Predict Age and Body Mass Index from a Picture'
+description = 'This app predicts the age and BMI of a person just from their face.'
+article = "Author: <a href=\"https://huggingface.co/archietram\">Archie Tram</a>. "
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs="text", examples=examples, title=title, description=description, article=article)
+intf.launch(inline=False)