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Update app.py
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app.py
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@@ -1,9 +1,6 @@
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import gradio as gr
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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("HuggingFaceH4/zephyr-7b-beta")
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@@ -39,13 +36,12 @@ def respond(
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response += token
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yield response
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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="You are a
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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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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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response += token
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yield response
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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 cybersecurity analyst who can interpret different types of logs resulting from various cyberattacks such as phishing attacks, malware attacks, advanced persistent threats, denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks, man-in-the-middle (MitM) attacks, SQL injection attacks, and zero-day exploits. Using logs such as login failures, event logs, firewall logs, and brute force logs, analyze the data and respond in English with your interpretation of the analysis.",
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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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