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Update app.py
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app.py
CHANGED
@@ -2,13 +2,9 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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from optillm.moa import mixture_of_agents
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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("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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@@ -16,6 +12,7 @@ def respond(
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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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@@ -48,10 +45,10 @@ demo = gr.ChatInterface(
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additional_inputs=[
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gr.Dropdown(
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["meta-llama/Meta-Llama-3.1-70B-Instruct", "meta-llama/Meta-Llama-3.1-8B-Instruct", "HuggingFaceH4/zephyr-7b-beta"], label="Model", info="Choose the base model"
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)
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gr.Dropdown(
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["bon", "mcts", "moa"], label="Approach", info="Choose the approach"
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)
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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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from huggingface_hub import InferenceClient
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from optillm.moa import mixture_of_agents
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def respond(
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model,
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approach,
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message,
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history: list[tuple[str, str]],
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system_message,
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temperature,
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top_p,
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):
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client = InferenceClient(model)
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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additional_inputs=[
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gr.Dropdown(
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["meta-llama/Meta-Llama-3.1-70B-Instruct", "meta-llama/Meta-Llama-3.1-8B-Instruct", "HuggingFaceH4/zephyr-7b-beta"], label="Model", info="Choose the base model"
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),
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gr.Dropdown(
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["bon", "mcts", "moa"], label="Approach", info="Choose the approach"
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),
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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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