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Update app.py
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app.py
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@@ -4,8 +4,8 @@ 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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@@ -43,22 +43,24 @@ def respond(
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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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="
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="
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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 (
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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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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("Sakalti/anchobi-4b")
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#応答部分
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def respond(
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message,
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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#インターフェース
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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="ユーザーの応答と依頼に答えてください。ポジティブに", label="システムメッセージ"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="新規トークン最大"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="温度"),
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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 (核 sampling)",
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),
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],
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concurrency_limit=30 # 例: 同時に4つのリクエストを処理
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)
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if __name__ == "__main__":
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demo.launch()
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