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Update app.py
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app.py
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@@ -11,17 +11,23 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">
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<p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/
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<p>🔎 For more details about the Llama3 release and how to use the model with <code>transformers</code>, take a look <a href="https://huggingface.co/blog/llama3">at our blog post</a>.</p>
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<p>🦕 Looking for an even more powerful model? Check out the <b>Hugging Chat</b> integration for Meta Llama 3 70b</p>
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</div>
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'''
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PLACEHOLDER = """
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<div style="opacity: 0.65;">
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<img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/7dd7659cff2eab51f0f5336f378edfca01dd16fa/gemma_lockup_vertical_full-color_rgb.png" style="width:30%;">
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<br><b>
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</div>
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"""
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@@ -110,6 +116,8 @@ with gr.Blocks(fill_height=True) as demo:
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cache_examples=False,
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)
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if __name__ == "__main__":
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demo.launch()
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">Meta Llama3-8B</h1>
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<p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/meta-llama/Llama3-8b-chat"><b>Llama3 8b Chat</b></a> by Meta. Llama3 is Meta’s new open LLM and comes in two sizes: 8b and 70b. Feel free to play with it, or duplicate to run privately!</p>
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<p>🔎 For more details about the Llama3 release and how to use the model with <code>transformers</code>, take a look <a href="https://huggingface.co/blog/llama3">at our blog post</a>.</p>
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<p>🦕 Looking for an even more powerful model? Check out the <a href="https://huggingface.co/chat/"><b>Hugging Chat</b></a> integration for Meta Llama 3 70b</p>
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</div>
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'''
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LICENSE = """
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<p/>
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---
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Built with Meta Llama 3
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"""
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PLACEHOLDER = """
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<div style="opacity: 0.65;">
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<img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/7dd7659cff2eab51f0f5336f378edfca01dd16fa/gemma_lockup_vertical_full-color_rgb.png" style="width:30%;">
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<br><b>Meta Llama3-8B Chatbot</b>
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</div>
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"""
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cache_examples=False,
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)
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gr.Markdown(LICENSE)
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if __name__ == "__main__":
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demo.launch()
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