Spaces:
Runtime error
Runtime error
UI fixes/workaround
Browse files
app.py
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@@ -1,6 +1,6 @@
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import os
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from functools import lru_cache
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from typing import Any
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import gradio as gr
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from huggingface_hub import hf_hub_download
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@@ -128,7 +128,7 @@ def build_messages(
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return messages
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def
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message: str,
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history: list[Any],
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system_message: str,
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@@ -136,7 +136,16 @@ def respond(
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temperature: float,
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top_p: float,
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repeat_penalty: float,
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) ->
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llm = get_llm()
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messages = build_messages(message, history, system_message or DEFAULT_SYSTEM_PROMPT)
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output = ""
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@@ -155,54 +164,80 @@ def respond(
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token = delta.get("content") or ""
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if token:
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output += token
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respond,
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type="messages",
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title="Dreadzone",
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description="CPU-only local chat with NVIDIA Nemotron 3 Nano 4B GGUF.",
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chatbot=gr.Chatbot(
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type="messages",
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height=420,
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show_copy_button=True,
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container=True,
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value=DEFAULT_SYSTEM_PROMPT,
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label="System message",
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lines=3,
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)
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gr.Slider(
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minimum=32,
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maximum=1024,
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value=384,
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step=16,
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label="Max new tokens",
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)
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gr.Slider(
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minimum=0.0,
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maximum=1.5,
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value=0.7,
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step=0.05,
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label="Temperature",
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)
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gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p")
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gr.Slider(
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minimum=1.0,
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maximum=1.3,
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value=1.1,
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step=0.01,
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label="Repeat penalty",
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)
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if __name__ == "__main__":
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import os
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from functools import lru_cache
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from typing import Any
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import gradio as gr
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from huggingface_hub import hf_hub_download
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return messages
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def generate_reply(
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message: str,
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history: list[Any],
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system_message: str,
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temperature: float,
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top_p: float,
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repeat_penalty: float,
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) -> Any:
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if not message.strip():
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yield history, ""
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return
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visible_history = list(history or [])
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visible_history.append({"role": "user", "content": message})
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visible_history.append({"role": "assistant", "content": ""})
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yield visible_history, ""
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llm = get_llm()
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messages = build_messages(message, history, system_message or DEFAULT_SYSTEM_PROMPT)
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output = ""
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token = delta.get("content") or ""
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if token:
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output += token
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visible_history[-1] = {"role": "assistant", "content": output}
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yield visible_history, ""
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def clear_chat() -> tuple[list[dict[str, str]], str]:
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return [], ""
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with gr.Blocks(css=CSS, theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"## Dreadzone\nCPU-only local chat with NVIDIA Nemotron 3 Nano 4B GGUF."
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)
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chat = gr.Chatbot(
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type="messages",
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height=420,
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show_copy_button=True,
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container=True,
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label="Chat",
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)
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with gr.Row():
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message = gr.Textbox(
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placeholder="Type a message...",
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show_label=False,
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scale=8,
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container=False,
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)
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submit = gr.Button("Send", variant="primary", scale=1)
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with gr.Accordion("Generation settings", open=False):
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system_message = gr.Textbox(
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value=DEFAULT_SYSTEM_PROMPT,
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label="System message",
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lines=3,
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)
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max_tokens = gr.Slider(
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minimum=32,
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maximum=1024,
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value=384,
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step=16,
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label="Max new tokens",
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)
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temperature = gr.Slider(
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minimum=0.0,
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maximum=1.5,
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value=0.7,
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step=0.05,
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label="Temperature",
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)
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top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p")
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repeat_penalty = gr.Slider(
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minimum=1.0,
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maximum=1.3,
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value=1.1,
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step=0.01,
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label="Repeat penalty",
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)
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clear = gr.Button("Clear")
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inputs = [
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message,
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chat,
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system_message,
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max_tokens,
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temperature,
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top_p,
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repeat_penalty,
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]
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submit.click(generate_reply, inputs=inputs, outputs=[chat, message])
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message.submit(generate_reply, inputs=inputs, outputs=[chat, message])
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clear.click(clear_chat, outputs=[chat, message])
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if __name__ == "__main__":
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demo.queue(max_size=8).launch(ssr_mode=False)
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