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Update app.py
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app.py
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@@ -6,6 +6,8 @@ For more information on `huggingface_hub` Inference API support, please check th
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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message,
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@@ -45,20 +47,26 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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if __name__ == "__main__":
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demo.launch()
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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demo = gr.ChatInterface(..., title="Wiser AI Assistant")
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def respond(
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message,
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"""
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demo = gr.ChatInterface(
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respond,
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title="🤖 Wiser AI Assistant",
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description="Your smart manufacturing assistant powered by Wiser Machines. Ask me anything about automation, productivity, factory operations, or how Wiser can help!",
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additional_inputs=[
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gr.Textbox(value="You are Wiser, an AI assistant specializing in smart manufacturing and factory automation. Respond clearly, concisely, and use real-world manufacturing examples when needed.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
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],
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)
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demo = gr.ChatInterface(..., title="Wiser AI Assistant")
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if __name__ == "__main__":
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with gr.Blocks() as demo:
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gr.Markdown("## Welcome to Wiser AI Assistant")
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gr.Markdown("Ask questions about factory automation, productivity, or how Wiser Machines can help streamline your operations.")
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chat = gr.ChatInterface(
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respond,
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additional_inputs=[...], # your sliders and system message
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)
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demo.launch()
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