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14b7f46
1
Parent(s):
d7ba81d
added example
Browse files
app.py
CHANGED
@@ -11,11 +11,11 @@ def classify(img):
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pred,idx,probs=learn.predict(img)
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return dict(zip(categories, map(float,probs)))
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title = "Text sentiment classifier"
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description = "This model classifies a sentence of text as having a positive or negative setiment"
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text = gr.Textbox()
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label= gr.Label()
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intf=gr.Interface(fn=classify,inputs=text,outputs=label,title=title, description=description)
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intf.launch(inline=False)
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pred,idx,probs=learn.predict(img)
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return dict(zip(categories, map(float,probs)))
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examples=['This was a very though provoking movie and very well written']
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title = "Text sentiment classifier"
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description = "This model classifies a sentence of text as having a positive or negative setiment"
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text = gr.Textbox()
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label= gr.Label()
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intf=gr.Interface(fn=classify,inputs=text,outputs=label,title=title, description=description, examples=examples)
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intf.launch(inline=False)
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