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FuriouslyAsleep
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f7d01d2
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Parent(s):
e74b5ef
Update app.py
Browse filesfixed to do tech data classification
app.py
CHANGED
@@ -1,7 +1,22 @@
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import gradio as gr
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def greet(name):
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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import gradio as gr
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from transformers import pipeline
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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tokenizer = AutoTokenizer.from_pretrained("FuriouslyAsleep/unhappyZebra100")
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model = AutoModelForSequenceClassification.from_pretrained("FuriouslyAsleep/unhappyZebra100")
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def greet(name):
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inputs = tokenizer(name, return_tensors="pt")
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outputs = model(**inputs)
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predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
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print(predictions)
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# return "Hello " + name + "!!"
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return "Probabilities are listed here (False prob, then True prob): ) + predictions
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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