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Update app.py
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app.py
CHANGED
@@ -4,7 +4,7 @@ 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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@@ -46,9 +46,9 @@ 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="
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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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@@ -57,8 +57,9 @@ demo = gr.ChatInterface(
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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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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/Saba1-1.8B")
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def respond(
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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="γγͺγγ―γγ¬γ³γγͺγΌγͺγγ£γγγγγγ§γγ", label="γ·γΉγγ γ‘γγ»γΌγΈ"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="γγΌγ―γ³"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="γγ³γγ©γγ£γΌ"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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label="Top-p (nucleus sampling)",
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),
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],
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concurrency_limit=30
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)
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if __name__ == "__main__":
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demo.launch()
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