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qwen.ai
Browse files
app.py
CHANGED
@@ -4,9 +4,8 @@ from huggingface_hub import InferenceClient
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import os
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token = os.getenv("HF_TOKEN")
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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", token=token)
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@@ -45,25 +44,25 @@ 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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with gr.Blocks(theme=gr.themes.Soft()) as demo
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if __name__ == "__main__":
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demo.launch()
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import os
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token = os.getenv("HF_TOKEN")
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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", token=token)
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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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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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chat_interface = gr.ChatInterface(
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fn=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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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 (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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