Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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import
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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TextIteratorStreamer,
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)
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import os
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from threading import Thread
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import spaces
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import time
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import subprocess
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subprocess.run(
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"pip install flash-attn --no-build-isolation",
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env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
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shell=True,
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)
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model = AutoModelForCausalLM.from_pretrained(
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"microsoft/Phi-3-mini-128k-instruct",
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token=token,
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trust_remote_code=True,
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)
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tok = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct", token=token)
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terminators = [
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tok.eos_token_id,
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]
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if torch.cuda.is_available():
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device = torch.device("cuda")
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print(f"Using GPU: {torch.cuda.get_device_name(device)}")
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else:
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device = torch.device("cpu")
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print("Using CPU")
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model = model.to(device)
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# Dispatch Errors
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@spaces.GPU(duration=60)
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def chat(message, history, temperature, do_sample, max_tokens):
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# 定義 PTZ 控制助手的 prompt
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prompt = (
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"You are an assistant for controlling PTZ cameras.\n"
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"When the user gives you a clear command, please JUST respond in the following format:\n"
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"Camera:<camera_id>. Tracking_Target:<target_name> placement:<position>.\n"
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"If multiple cameras are specified, provide separate lines for each camera.\n"
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"The available placements are: top_left, top_middle, top_right, "
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"center_left, center_middle, center_right, bottom_left, bottom_middle, bottom_right.\n"
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"Default Values:\n"
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"- camera_id: default\n"
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"- tracking_target: default\n"
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"- placement: center_middle\n"
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"Rules for Defaults:\n"
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"1. If the camera_id is not specified, use the default value `default`.\n"
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"2. If the tracking_target is not specified, use the default value `default`.\n"
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"3. If the position information is incomplete or not specified, default the placement to the middle position.\n"
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"For example, if the user specifies 'top', interpret it as 'top_middle'.\n\n"
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"Examples:\n"
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"User: Please set camera 1 to track target A at bottom_right.\n"
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"Assistant: Camera:1. Tracking_Target:A placement:bottom_right.\n\n"
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"User: Please set camera 2 to track target B at top.\n"
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"Assistant: Camera:2. Tracking_Target:B placement:top_middle.\n\n"
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"User: Please set camera 3 to track target C.\n"
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"Assistant: Camera:3. Tracking_Target:C placement:center_middle.\n\n"
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"User: Please track target D at left.\n"
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"Assistant: Camera:default. Tracking_Target:D placement:center_left.\n\n"
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"User: Please control camera 4.\n"
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"Assistant: Camera:4. Tracking_Target:default placement:center_middle.\n\n"
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"User: Please start recording.\n"
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"Assistant: Camera:default. Tracking_Target:default placement:center_middle.\n\n"
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"User: Please set camera 2 and camera 3 to track target Kyle at bottom_right.\n"
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"Assistant:\n"
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"Camera:2. Tracking_Target:Kyle placement:bottom_right.\n"
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"Camera:3. Tracking_Target:Kyle placement:bottom_right.\n\n"
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"Now, respond to the following command:\n"
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)
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chat = []
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for item in history:
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chat.append({"role": "user", "content": item[0]})
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if item[1] is not None:
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chat.append({"role": "assistant", "content": item[1]})
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chat.append({"role": "user", "content": message})
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# 將 prompt 添加到消息的開頭
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full_message = prompt + "\n" + tok.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
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model_inputs = tok([full_message], return_tensors="pt").to(device)
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streamer = TextIteratorStreamer(
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tok, timeout=20.0, skip_prompt=True, skip_special_tokens=True
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)
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generate_kwargs = dict(
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model_inputs,
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streamer=streamer,
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max_new_tokens=max_tokens,
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do_sample=True,
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temperature=temperature,
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eos_token_id=terminators,
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)
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if temperature == 0:
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generate_kwargs["do_sample"] = False
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for
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yield partial_text
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demo = gr.ChatInterface(
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examples=[["Please set camera 2 to track target A at top."]],
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additional_inputs_accordion=gr.Accordion(
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label="⚙️ Parameters", open=False, render=False
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),
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additional_inputs=[
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gr.Slider(
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minimum=0
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maximum=4096,
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step=1,
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value=512,
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label="Max new tokens",
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render=False,
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),
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],
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stop_btn="Stop Generation",
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title="PTZ Camera Control Chat",
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description="Now Running [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) for PTZ camera control.",
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)
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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("meta-llama/Llama-3.2-1B")
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def respond(
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message,
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history: list[tuple[str, str]],
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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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):
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MAX_HISTORY_LENGTH = 5 # 保留最近 5 條歷史
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# 限制歷史對話的長度
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history = history[-MAX_HISTORY_LENGTH:]
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# 構建消息列表,從系統消息開始
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messages = [{"role": "system", "content": system_message}]
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# 添加歷史對話
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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# 添加最新的用戶輸入
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messages.append({"role": "user", "content": message})
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# 初始化空回應
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response = ""
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# 呼叫模型並生成回應,使用 stream 模式逐步更新
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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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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gr.Textbox(
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value=(
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"You are an assistant for controlling PTZ cameras.\n"
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"When the user gives you a clear command, please JUST respond in the following format:\n"
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"Camera:<camera_id>. Tracking_Target:<target_name> placement:<position> speed:<speed> only_ptz_action:<only_ptz_action> tracking_action:<tracking_action>.\n"
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"If multiple cameras are specified, provide separate lines for each camera.\n"
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"Only provide commands for the cameras specified by the user.\n"
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"Do not include additional cameras that the user did not mention.\n"
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"Ensure all field names are spelled correctly.\n\n"
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"The available placements are ONLY: top_left, top_middle, top_right, center_left, center_middle, center_right, bottom_left, bottom_middle, bottom_right.\n"
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"The available speed options are ONLY: slow, medium, fast.\n"
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"The available only_ptz_actions are ONLY: turn_right, turn_left, tilt_up, tilt_down, zoom_in, zoom_out, stop.\n"
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"The available tracking_actions are ONLY: tracking.\n\n"
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"Default Values:\n"
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"- camera_id: default\n"
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"- tracking_target: default\n"
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"- placement: center_middle\n"
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"- speed: medium\n"
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"- only_ptz_action: default\n"
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"- tracking_action: default\n\n"
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"Rules for Defaults:\n"
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"1. If the camera_id is not specified, use the default value `default`.\n"
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"2. If the tracking_target is not specified, use the default value `default`.\n"
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"3. If the position information is incomplete or not specified, default the placement to `center_middle`.\n"
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"4. If only a general direction is specified, interpret it as the middle of that direction.\n"
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" For example, 'top' is interpreted as 'top_middle' and 'left' as 'center_left'.\n"
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"5. If the speed is not specified, default to `medium`.\n"
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"6. If the only_ptz_action is not specified, default to `default`.\n"
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"7. If the tracking_action is not specified, default to `default`.\n"
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"8. Camera IDs are restricted to 1, 2, 3, and 4. If an invalid camera_id is provided, use `default`.\n"
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"9. If the user specifies 'all camera' or 'all cameras', apply the command to all cameras (1-4).\n\n"
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"**Special Action Handling**:\n"
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"- If only `camera_id` and `only_ptz_action` are specified (all other fields are `default`), execute only the specified `only_ptz_action`.\n"
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"- If only `camera_id` and `tracking_action` are specified (all other fields are `default`), execute only the specified `tracking_action`.\n"
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"- When tracking is involved, set `tracking_action` to `tracking`.\n\n"
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"Examples:\n"
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"User: Please set camera 1 to track target Alice at bottom_right with speed fast and action turn_right.\n"
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"Assistant: Camera:1. Tracking_Target:Alice placement:bottom_right speed:fast only_ptz_action:turn_right tracking_action:default.\n\n"
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"User: Please set camera 3 to track target Bob at top with speed slow.\n"
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"Assistant: Camera:3. Tracking_Target:Bob placement:top_middle speed:slow only_ptz_action:default tracking_action:tracking.\n\n"
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"User: Please set camera 2 to track target Carol.\n"
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"Assistant: Camera:2. Tracking_Target:Carol placement:center_middle speed:medium only_ptz_action:default tracking_action:tracking.\n\n"
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"User: Please track target Dave at left.\n"
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"Assistant: Camera:default. Tracking_Target:Dave placement:center_left speed:medium only_ptz_action:default tracking_action:tracking.\n\n"
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"User: Please control camera 4.\n"
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"Assistant: Camera:4. Tracking_Target:default placement:center_middle speed:medium only_ptz_action:default tracking_action:default.\n\n"
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"User: Please start recording.\n"
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"Assistant: Camera:default. Tracking_Target:default placement:center_middle speed:medium only_ptz_action:default tracking_action:default.\n\n"
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"User: Camera 5 action turn_left.\n"
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"Assistant: Camera:default. Tracking_Target:default placement:center_middle speed:medium only_ptz_action:turn_left tracking_action:default.\n\n"
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"User: camera 1 and 2 turn right.\n"
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"Assistant:\n"
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"Camera:1. Tracking_Target:default placement:center_middle speed:medium only_ptz_action:turn_right tracking_action:default.\n"
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"Camera:2. Tracking_Target:default placement:center_middle speed:medium only_ptz_action:turn_right tracking_action:default.\n\n"
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"Respond with ONLY the Assistant's output. Do NOT add any extra text."
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),
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label="System message"
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)
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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,
|
| 124 |
+
maximum=1.0,
|
| 125 |
+
value=0.95,
|
| 126 |
+
step=0.05,
|
| 127 |
+
label="Top-p (nucleus sampling)",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 128 |
),
|
| 129 |
],
|
|
|
|
|
|
|
|
|
|
| 130 |
)
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
if __name__ == "__main__":
|
| 134 |
+
demo.launch()
|