Duplicate from asquirous/tv_desktop_classifier

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README.md

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+---
+title: Tv Desktop Classifier
+emoji: 📊
+colorFrom: blue
+colorTo: gray
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: asquirous/tv_desktop_classifier
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("model_tvdesktop.pkl")
+labels = learn.dls.vocab
+
+def classify_image(img):
+    img = PILImage.create(img)
+    pred, idx, probs = learn.predict(img)
+    output = dict(zip(labels, map(float, probs)))
+    print(probs[0])
+    for out in output:
+        val = output[out]
+        if val < 60:
+            return {"Not Sure/Others": 0}
+    return output
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+
+title = "CRT TV and Desktop Monitor Classifier"
+description = "A simple image classifier."
+
+intf = gr.Interface(
+    fn=classify_image,
+    inputs=image,
+    outputs=label,
+    title=title,
+    description=description
+)
+
+intf.launch(inline=False)

model_tvdesktop.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:09df325b82c70199049fe42e01fb8b3a5ef8c8595ddd46de3a8fda24828d9d6d
+size 87471729

requirements.txt

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+fastai