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Update app.py
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app.py
CHANGED
@@ -4,18 +4,17 @@ from huggingface_hub import InferenceClient
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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client = InferenceClient("
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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":
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for val in history:
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if val[0]:
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@@ -46,7 +45,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
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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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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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client = InferenceClient("ethicalabs/Kurtis-SmolLM2-360M-Instruct-DPO")
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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,
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temperature,
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top_p,
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):
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messages = [{"role": "system", "content": "You are a helpful, compassionate and empathetic mental-health assistant named Kurtis, trained by ethicalabs.ai. Your purpose is to provide thoughtful and supportive responses to user queries."}]
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for val in history:
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if val[0]:
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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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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