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Update app.py
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app.py
CHANGED
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@@ -2,18 +2,25 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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#client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def respond(
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message,
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history: list[tuple[str, str]],
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top_p,
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):
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messages = [{"role": "system", "content":
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for val in history:
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if val and len(val) == 2:
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@@ -40,24 +47,8 @@ def respond(
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response += token
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yield response
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default_system_prompt = (
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"You are a professional pharmacist who ONLY answers questions related to medications, including uses, dosages, side effects, interactions, and recommendations. "
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"If the user asks about anything NOT related to medications, politely reply that you can only help with medication-related questions and suggest they consult other resources. "
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"Always ask for the user's age before giving any dosage or advice. "
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"Include a clear disclaimer at the end: "
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"\"This information is for educational purposes only and does not replace professional medical advice. Please consult a licensed healthcare provider.\""
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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=default_system_prompt, label="System message", lines=5),
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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=0.2, 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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if __name__ == "__main__":
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demo.launch()
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from huggingface_hub import InferenceClient
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#client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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#client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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client = InferenceClient("stanford-crfm/BioMedLM")
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default_system_prompt = (
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"You are a professional pharmacist who ONLY answers questions related to medications, including uses, dosages, side effects, interactions, and recommendations. "
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"If the user asks about anything NOT related to medications, politely reply that you can only help with medication-related questions and suggest they consult other resources. "
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"Always ask for the user's age before giving any dosage or advice. "
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"Include a clear disclaimer at the end: "
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"\"This information is for educational purposes only and does not replace professional medical advice. Please consult a licensed healthcare provider.\""
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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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max_tokens=512,
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temperature=0.2,
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top_p=0.95,
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):
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messages = [{"role": "system", "content": default_system_prompt}]
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for val in history:
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if val and len(val) == 2:
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response += token
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yield response
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demo = gr.ChatInterface(respond)
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if __name__ == "__main__":
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demo.launch(share=True)
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