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Browse files- app.py +25 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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import os
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from transformers import pipeline, set_seed, AutoTokenizer
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set_seed(42)
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generator = pipeline('text-generation', model='gvij/gpt-j-6B-alpaca-gpt4', return_full_text=False, do_sample=False)
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def Bemenet(input_string):
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output = generator(os.environ['SECRET_PROMPT'] + " " + input_string, max_length=100)[0]['generated_text']
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if os.environ['SECRET'].upper() in output.upper():
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return "Sorry, but I am unable to answer this question."
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else:
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return output
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textbox = gr.Textbox()
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interface = gr.Interface(fn=Bemenet,
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title="GPT-2",
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description="A GPT-3 egy finomhangolt verziója GPT-4 kimeneteken.",
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inputs=textbox,
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outputs=textbox)
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interface.launch()
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requirements.txt
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transformers
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torch
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