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upload1
Browse files- app.py +123 -0
- requirement.txt +14 -0
app.py
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import os
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import random
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import numpy as np
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import torch
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import torch.backends.cudnn as cudnn
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import gradio as gr
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os.system('git lfs install')
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os.system("pip install git+https://hf-mirror.com/Pluto0616/L2_InternVL")
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from utils import load_json, init_logger
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from demo import ConversationalAgent, CustomTheme
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FOOD_EXAMPLES = "/Pluto0616/L2_InternVL/demo/food_for_demo.json"
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# MODEL_PATH = "/root/share/new_models/OpenGVLab/InternVL2-2B"
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MODEL_PATH = "/Pluto0616/L2_InternVL/work_dirs/internvl_v2_internlm2_2b_lora_finetune_food/lr35_ep10"
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OUTPUT_PATH = "./outputs"
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def setup_seeds():
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seed = 42
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random.seed(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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cudnn.benchmark = False
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cudnn.deterministic = True
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def main():
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setup_seeds()
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# logging
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init_logger(OUTPUT_PATH)
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# food examples
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food_examples = load_json(FOOD_EXAMPLES)
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agent = ConversationalAgent(model_path=MODEL_PATH,
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outputs_dir=OUTPUT_PATH)
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theme = CustomTheme()
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titles = [
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"""<center><B><font face="Comic Sans MS" size=10>书生大模型实战营</font></B></center>""" ## Kalam:wght@700
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"""<center><B><font face="Courier" size=5>「进阶岛」InternVL 多模态模型部署微调实践</font></B></center>"""
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]
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language = """Language: 中文 and English"""
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with gr.Blocks(theme) as demo_chatbot:
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for title in titles:
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gr.Markdown(title)
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# gr.Markdown(article)
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gr.Markdown(language)
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with gr.Row():
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with gr.Column(scale=3):
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start_btn = gr.Button("Start Chat", variant="primary", interactive=True)
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clear_btn = gr.Button("Clear Context", interactive=False)
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image = gr.Image(type="pil", interactive=False)
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upload_btn = gr.Button("🖼️ Upload Image", interactive=False)
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with gr.Accordion("Generation Settings"):
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top_p = gr.Slider(minimum=0, maximum=1, step=0.1,
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value=0.8,
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interactive=True,
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label='top-p value',
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visible=True)
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temperature = gr.Slider(minimum=0, maximum=1.5, step=0.1,
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value=0.8,
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interactive=True,
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label='temperature',
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visible=True)
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with gr.Column(scale=7):
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chat_state = gr.State()
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chatbot = gr.Chatbot(label='InternVL2', height=800, avatar_images=((os.path.join(os.path.dirname(__file__), 'demo/user.png')), (os.path.join(os.path.dirname(__file__), "demo/bot.png"))))
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text_input = gr.Textbox(label='User', placeholder="Please click the <Start Chat> button to start chat!", interactive=False)
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gr.Markdown("### 输入示例")
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def on_text_change(text):
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return gr.update(interactive=True)
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text_input.change(fn=on_text_change, inputs=text_input, outputs=text_input)
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gr.Examples(
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examples=[["图片中的食物通常属于哪个菜系?"],
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["如果让你简单形容一下品尝图片中的食物的滋味,你会描述它"],
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["去哪个地方游玩时应该品尝当地的特色美食图片中的食物?"],
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["食用图片中的食物时,一般它上菜或摆盘时的特点是?"]],
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inputs=[text_input]
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)
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with gr.Row():
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gr.Markdown("### 食物快捷栏")
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with gr.Row():
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example_xinjiang_food = gr.Examples(examples=food_examples["新疆菜"], inputs=image, label="新疆菜")
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example_sichuan_food = gr.Examples(examples=food_examples["川菜(四川,重庆)"], inputs=image, label="川菜(四川,重庆)")
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example_xibei_food = gr.Examples(examples=food_examples["西北菜 (陕西,甘肃等地)"], inputs=image, label="西北菜 (陕西,甘肃等地)")
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with gr.Row():
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example_guizhou_food = gr.Examples(examples=food_examples["黔菜 (贵州)"], inputs=image, label="黔菜 (贵州)")
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example_jiangsu_food = gr.Examples(examples=food_examples["苏菜(江苏)"], inputs=image, label="苏菜(江苏)")
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example_guangdong_food = gr.Examples(examples=food_examples["粤菜(广东等地)"], inputs=image, label="粤菜(广东等地)")
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with gr.Row():
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example_hunan_food = gr.Examples(examples=food_examples["湘菜(湖南)"], inputs=image, label="湘菜(湖南)")
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example_fujian_food = gr.Examples(examples=food_examples["闽菜(福建)"], inputs=image, label="闽菜(福建)")
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example_zhejiang_food = gr.Examples(examples=food_examples["浙菜(浙江)"], inputs=image, label="浙菜(浙江)")
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with gr.Row():
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example_dongbei_food = gr.Examples(examples=food_examples["东北菜 (黑龙江等地)"], inputs=image, label="东北菜 (黑龙江等地)")
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start_btn.click(agent.start_chat, [chat_state], [text_input, start_btn, clear_btn, image, upload_btn, chat_state])
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clear_btn.click(agent.restart_chat, [chat_state], [chatbot, text_input, start_btn, clear_btn, image, upload_btn, chat_state], queue=False)
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upload_btn.click(agent.upload_image, [image, chatbot, chat_state], [image, chatbot, chat_state])
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text_input.submit(
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agent.respond,
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inputs=[text_input, image, chatbot, top_p, temperature, chat_state],
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outputs=[text_input, image, chatbot, chat_state]
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)
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demo_chatbot.launch(share=True, server_name="127.0.0.1", server_port=1096, allowed_paths=['./'])
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demo_chatbot.queue()
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if __name__ == "__main__":
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main()
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requirement.txt
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lmdeploy==0.6.1
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gradio==4.44.1
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timm==1.0.9
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xtuner==0.1.23 timm==1.0.9
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'xtuner[deepspeed]'
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torch==2.4.1
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torchvision==0.19.1
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torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu121
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transformers==4.39.0
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tokenizers==0.15.2
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peft==0.13.2
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datasets==3.1.0
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accelerate==1.2.0
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huggingface-hub==0.26.5
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