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Bloodacote
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Parent(s):
3f9a9bf
Update app.py
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app.py
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import gradio as gr
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demo.launch()
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import gradio as gr
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from transformers import pipeline
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# Initialize the text generation pipeline
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pipe = pipeline("text-generation", model="meta-llama/CodeLlama-7b-hf")
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def generate_text(prompt):
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# Generate text based on the provided prompt using the pipeline
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generated_text = pipe(prompt, max_length=50, do_sample=True)[0]['generated_text']
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return generated_text
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# Create a Gradio interface
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demo = gr.Interface(
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fn=generate_text,
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inputs="text",
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outputs="text",
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title="Text Generation with CodeLlama-7b-hf",
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description="Enter a prompt and see the generated text."
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)
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# Launch the Gradio interface
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demo.launch()
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