简介：
调用本地摄像头，通过多模态大语言模型实时感知世界，并进行交互

界面：

代码：

import tkinter as tk
from tkinter import ttk
from PIL import Image, ImageTk
import cv2
import requests

# 定义处理函数
def capture_and_send():
    # 从摄像头读取当前帧
    ret, frame = cap.read()
    if ret:
        # 将帧转换为图像格式
        _, buffer = cv2.imencode('.jpg', frame)
        image_data = buffer.tobytes()

        # 获取用户输入的 prompt
        prompt = prompt_entry.get()

        # 构建请求数据
        files = {'image': ('image.jpg', image_data, 'image/jpeg')}
        data = {'prompt': prompt}

        # 发送 POST 请求到多模态大语言模型的服务
        response = requests.post('http://10.136.22.140:7860/qwenvl2', files=files, data=data)

        # 将响应显示在结果文本框中
        if response.status_code == 200:
            result = response.json()['text']
            result_entry.delete(1.0, tk.END)
            result_entry.insert(tk.END, result)
        else:
            result_entry.delete(1.0, tk.END)
            result_entry.insert(tk.END, "Error: " + str(response.status_code))

def clear_text():
    # 清空两个文本框的内容
    prompt_entry.delete(0, tk.END)
    result_entry.delete(1.0, tk.END)

def update_frame():
    ret, frame = cap.read()
    if ret:
        # 将图像转换为适合在 Tkinter 中显示的格式
        cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        img = Image.fromarray(cv2image)
        imgtk = ImageTk.PhotoImage(image=img)
        camera_label.imgtk = imgtk
        camera_label.configure(image=imgtk)
    # 每 10 毫秒更新一次
    camera_label.after(10, update_frame)

# 创建主窗口
root = tk.Tk()
root.title("Multi-modal AI Interface")
root.geometry("900x600")  # 设置窗口大小

# 样式配置
style = ttk.Style()
style.configure("TButton", font=("Arial", 12), padding=10)
style.configure("TLabel", font=("Arial", 12))
style.configure("TEntry", font=("Arial", 12))
style.configure("TText", font=("Arial", 12))

# 摄像头画面区域
camera_label = ttk.Label(root)
camera_label.grid(row=0, column=0, rowspan=6, padx=10, pady=10, sticky="nsew")

# Prompt 输入框
prompt_label = ttk.Label(root, text="Enter prompt:")
prompt_label.grid(row=0, column=1, padx=10, pady=5, sticky="w")
prompt_entry = ttk.Entry(root, width=50)
prompt_entry.grid(row=1, column=1, padx=10, pady=5, sticky="ew")

# 结果显示框
result_label = ttk.Label(root, text="Model Output:")
result_label.grid(row=2, column=1, padx=10, pady=5, sticky="w")
result_entry = tk.Text(root, width=50, height=15)
result_entry.grid(row=3, column=1, padx=10, pady=5, sticky="ew")

# 发送按钮
send_button = ttk.Button(root, text="Send to Model", command=capture_and_send)
send_button.grid(row=4, column=1, padx=10, pady=5, sticky="ew")

# 清空按钮
clear_button = ttk.Button(root, text="Clear Text", command=clear_text)
clear_button.grid(row=5, column=1, padx=10, pady=5, sticky="ew")

# 打开摄像头
cap = cv2.VideoCapture(0)

# 开始摄像头实时更新
update_frame()

# 运行主循环
root.mainloop()

# 释放摄像头
cap.release()
cv2.destroyAllWindows()