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Update app.py
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app.py
CHANGED
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@@ -3,6 +3,7 @@ from huggingface_hub import InferenceClient
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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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@@ -31,41 +32,13 @@ def respond(
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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custom_css = """
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body {
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background-color: #1c1c1c; /* Darker, softer black */
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color: #ffffff;
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}
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.gradio-container {
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background-color: #1c1c1c !important;
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}
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.gradio-textbox, .gradio-slider {
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border: 1px solid #ffffff !important;
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background-color: #333333 !important; /* Slightly lighter black */
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color: #ffffff !important;
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box-shadow: 0 0 10px #00ff00 !important; /* Glowing effect */
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}
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.gradio-slider input[type=range] {
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background-color: #00ff00 !important; /* Change slider color */
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}
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.gradio-button {
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background-color: #00ff00 !important;
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color: #1c1c1c !important;
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border: none !important;
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box-shadow: 0 0 10px #00ff00 !important; /* Glowing effect */
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}
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.gradio-chat {
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background-color: #333333 !important; /* Slightly lighter black */
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color: #ffffff !important;
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}
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.gradio-label {
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color: #ffffff !important;
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}
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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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@@ -80,8 +53,9 @@ demo = gr.ChatInterface(
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label="Top-p (nucleus sampling)",
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),
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],
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css=custom_css
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)
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if __name__ == "__main__":
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demo.launch()
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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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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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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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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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