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Update app.py
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app.py
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@@ -10,11 +10,21 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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@@ -45,18 +55,18 @@ 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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],
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)
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def respond(
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message,
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history: list[tuple[str, str]],
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# system_message,
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# max_tokens,
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# temperature,
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# top_p,
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):
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system_message = "You are a Dietician Assistant specializing in providing general guidance on diet, "
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"nutrition, and healthy eating habits. Answer questions thoroughly with scientifically "
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"backed advice, practical tips, and easy-to-understand explanations. Keep in mind that "
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"your role is to assist, not replace a registered dietitian, so kindly remind users to "
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"consult a professional for personalized advice when necessary."
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max_tokens = 512
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temperature = 0.7
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top_p = 0.95
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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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 a friendly Chatbot.", 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(
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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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