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Update app.py
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app.py
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@@ -1,11 +1,23 @@
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import gradio as gr
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print("hello")
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# gr.load("NousResearch/Yarn-Mistral-7b-128k",src="models").launch()
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from transformers import pipeline
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def get_class(input):
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return
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iface = gr.Interface(fn=get_class, inputs="text", outputs=['text'], title='hello', description='play around')
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iface.launch()
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# import gradio as gr
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# print("hello")
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# gr.load("NousResearch/Yarn-Mistral-7b-128k",src="models").launch()
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# from transformers import pipeline
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# classifier = pipeline("sentiment-analysis")
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# def get_class(input):
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# return classifier("I've been waiting for a HuggingFace course my whole life.")
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# iface = gr.Interface(fn=get_class, inputs="text", outputs=['text'], title='hello', description='play around')
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# iface.launch()
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="NousResearch/Yarn-Mistral-7b-128k")
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def get_class(input):
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return pipe(input)
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iface = gr.Interface(fn=get_class, inputs="text", outputs=['text'], title='hello', description='play around')
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iface.launch()
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