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Update app.py
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app.py
CHANGED
@@ -1,35 +1,35 @@
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import os
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if os.environ.get("SPACES_ZERO_GPU") is not None:
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import spaces
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else:
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class spaces:
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@staticmethod
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def GPU(func):
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def wrapper(*args, **kwargs):
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return func(*args, **kwargs)
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return wrapper
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import gradio as gr
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import subprocess
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from transformers import pipeline
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MODEL = "
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clf = pipeline("text-classification", model=MODEL, tokenizer=MODEL)
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text = "From the very beginning, the EU has been extremely non-transparent. The deployment of the European Union presence in Armenia was carried out forcefully, under serious pressure from Brussels"
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@spaces.GPU
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def infer(text: str):
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result = clf(text)
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return result
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with gr.Blocks() as demo:
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input_text= gr.Textbox(label="Input", value=text, show_copy_button=True)
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run_button = gr.Button("Run", variant="primary")
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output_text = gr.Textbox(label="Output", value="", show_copy_button=True)
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run_button.click(infer, [input_text], [output_text])
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demo.launch()
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import os
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if os.environ.get("SPACES_ZERO_GPU") is not None:
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import spaces
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else:
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class spaces:
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@staticmethod
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def GPU(func):
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def wrapper(*args, **kwargs):
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return func(*args, **kwargs)
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return wrapper
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import gradio as gr
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import subprocess
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from transformers import pipeline
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MODEL = "John6666/Roberta-fake-news-detector"
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clf = pipeline("text-classification", model=MODEL, tokenizer=MODEL)
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text = "From the very beginning, the EU has been extremely non-transparent. The deployment of the European Union presence in Armenia was carried out forcefully, under serious pressure from Brussels"
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@spaces.GPU
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def infer(text: str):
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result = clf(text)
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return result
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with gr.Blocks() as demo:
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input_text= gr.Textbox(label="Input", value=text, show_copy_button=True)
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run_button = gr.Button("Run", variant="primary")
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output_text = gr.Textbox(label="Output", value="", show_copy_button=True)
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run_button.click(infer, [input_text], [output_text])
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demo.launch()
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