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Python使用PyQt5实现与DeepSeek聊天的图形化小软件

作者：老胖闲聊

在 PyQt5 中,菜单栏（QMenuBar）、工具栏（QToolBar）和状态栏（QStatusBar）是 QMainWindow 提供的标准控件,用于帮助用户更好地与应用程序交互,所以本文给大家介绍了Python使用PyQt5实现与DeepSeek聊天的图形化小软件,需要的朋友可以参考下

1. 导入依赖库

import sys
import requests
import json
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QTextEdit, QLineEdit, QPushButton, QLabel, QFileDialog
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtGui import QPixmap

2. DeepSeek API 配置

DEEPSEEK_API_URL = "https://api.deepseek.com/v1/chat/completions"
DEEPSEEK_API_KEY = "your_deepseek_api_key"  # 替换为自己的 DeepSeek API Key

3. ChatThread 类

class ChatThread(QThread):
    response_received = pyqtSignal(str)
    stream_response_received = pyqtSignal(str)

    def __init__(self, messages, stream=False):
        super().__init__()
        self.messages = messages
        self.stream = stream

    def run(self):
        headers = {
            "Authorization": f"Bearer {DEEPSEEK_API_KEY}",
            "Content-Type": "application/json"
        }

        data = {
            "model": "deepseek-chat",
            "messages": self.messages,
            "stream": self.stream
        }

        if self.stream:
            response = requests.post(DEEPSEEK_API_URL, headers=headers, json=data, stream=True)
            for line in response.iter_lines():
                if line:
                    decoded_line = line.decode('utf-8')
                    if decoded_line.startswith("data:"):
                        json_data = json.loads(decoded_line[5:])
                        if "choices" in json_data:
                            content = json_data["choices"][0]["delta"].get("content", "")
                            self.stream_response_received.emit(content)
        else:
            response = requests.post(DEEPSEEK_API_URL, headers=headers, json=data)
            if response.status_code == 200:
                json_data = response.json()
                content = json_data["choices"][0]["message"]["content"]
                self.response_received.emit(content)
            else:
                self.response_received.emit("Error: 无法从DeepSeekAPI获得响应.")

功能说明

4. ChatApp 类

class ChatApp(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()
        self.messages = []

    def initUI(self):
        self.setWindowTitle('DeepSeek Chat')
        self.setGeometry(100, 100, 600, 400)

        layout = QVBoxLayout()

        self.chat_display = QTextEdit()
        self.chat_display.setReadOnly(True)
        layout.addWidget(self.chat_display)

        self.input_box = QLineEdit()
        self.input_box.setPlaceholderText("在此留下你的千言万语...")
        layout.addWidget(self.input_box)

        self.send_button = QPushButton('发送')
        self.send_button.clicked.connect(self.send_message)
        layout.addWidget(self.send_button)

        self.image_label = QLabel()
        layout.addWidget(self.image_label)

        self.upload_image_button = QPushButton('上传图片')
        self.upload_image_button.clicked.connect(self.upload_image)
        layout.addWidget(self.upload_image_button)

        self.setLayout(layout)

功能说明

5. 核心功能方法

5.1 send_message 方法

def send_message(self):
    user_input = self.input_box.text()
    if user_input:
        self.messages.append({"role": "user", "content": user_input})
        self.chat_display.append(f"You: {user_input}")
        self.input_box.clear()

        self.chat_thread = ChatThread(self.messages, stream=True)
        self.chat_thread.stream_response_received.connect(self.update_chat_display_stream)
        self.chat_thread.start()

5.2 update_chat_display_stream 方法

def update_chat_display_stream(self, content):
    self.chat_display.moveCursor(self.chat_display.textCursor().End)
    self.chat_display.insertPlainText(content)
    self.chat_display.moveCursor(self.chat_display.textCursor().End)

5.3 upload_image 方法

def upload_image(self):
    options = QFileDialog.Options()
    file_name, _ = QFileDialog.getOpenFileName(self, "上传图片", "", "Images (*.png *.jpg *.jpeg)", options=options)
    if file_name:
        pixmap = QPixmap(file_name)
        self.image_label.setPixmap(pixmap.scaled(200, 200))
        self.messages.append({"role": "user", "content": f"Image: {file_name}"})

6. 主程序入口

if __name__ == '__main__':
    app = QApplication(sys.argv)
    chat_app = ChatApp()
    chat_app.show()
    sys.exit(app.exec_())

7、完整代码如下：

需要安装PyQt5和requests

pip install PyQt5 requests

import sys
import requests
import json
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QTextEdit, QLineEdit, QPushButton, QLabel, QFileDialog
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtGui import QPixmap

# DeepSeek API 配置
DEEPSEEK_API_URL = "https://api.deepseek.com/v1/chat/completions"
DEEPSEEK_API_KEY = "your_deepseek_api_key"  # 替换为自己的 DeepSeek API Key，去DeepSeek注册获取

class ChatThread(QThread):
    response_received = pyqtSignal(str)
    stream_response_received = pyqtSignal(str)

    def __init__(self, messages, stream=False):
        super().__init__()
        self.messages = messages
        self.stream = stream

    def run(self):
        headers = {
            "Authorization": f"Bearer {DEEPSEEK_API_KEY}",
            "Content-Type": "application/json"
        }

        data = {
            "model": "deepseek-chat",
            "messages": self.messages,
            "stream": self.stream
        }

        if self.stream:
            response = requests.post(DEEPSEEK_API_URL, headers=headers, json=data, stream=True)
            for line in response.iter_lines():
                if line:
                    decoded_line = line.decode('utf-8')
                    if decoded_line.startswith("data:"):
                        json_data = json.loads(decoded_line[5:])
                        if "choices" in json_data:
                            content = json_data["choices"][0]["delta"].get("content", "")
                            self.stream_response_received.emit(content)
        else:
            response = requests.post(DEEPSEEK_API_URL, headers=headers, json=data)
            if response.status_code == 200:
                json_data = response.json()
                content = json_data["choices"][0]["message"]["content"]
                self.response_received.emit(content)
            else:
                self.response_received.emit("Error: 无法从DeepSeekAPI获得响应.")

class ChatApp(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()
        self.messages = []

    def initUI(self):
        self.setWindowTitle('DeepSeek Chat')
        self.setGeometry(100, 100, 600, 400)

        layout = QVBoxLayout()

        self.chat_display = QTextEdit()
        self.chat_display.setReadOnly(True)
        layout.addWidget(self.chat_display)

        self.input_box = QLineEdit()
        self.input_box.setPlaceholderText("在此留下你的千言万语...")
        layout.addWidget(self.input_box)

        self.send_button = QPushButton('发送')
        self.send_button.clicked.connect(self.send_message)
        layout.addWidget(self.send_button)

        self.image_label = QLabel()
        layout.addWidget(self.image_label)

        self.upload_image_button = QPushButton('上传图片')
        self.upload_image_button.clicked.connect(self.upload_image)
        layout.addWidget(self.upload_image_button)

        self.setLayout(layout)

    def send_message(self):
        user_input = self.input_box.text()
        if user_input:
            self.messages.append({"role": "user", "content": user_input})
            self.chat_display.append(f"You: {user_input}")
            self.input_box.clear()

            self.chat_thread = ChatThread(self.messages, stream=True)
            self.chat_thread.stream_response_received.connect(self.update_chat_display_stream)
            self.chat_thread.start()

    def update_chat_display_stream(self, content):
        self.chat_display.moveCursor(self.chat_display.textCursor().End)
        self.chat_display.insertPlainText(content)
        self.chat_display.moveCursor(self.chat_display.textCursor().End)

    def upload_image(self):
        options = QFileDialog.Options()
        file_name, _ = QFileDialog.getOpenFileName(self, "上传图片", "", "Images (*.png *.jpg *.jpeg)", options=options)
        if file_name:
            pixmap = QPixmap(file_name)
            self.image_label.setPixmap(pixmap.scaled(200, 200))
            self.messages.append({"role": "user", "content": f"Image: {file_name}"})

if __name__ == '__main__':
    app = QApplication(sys.argv)
    chat_app = ChatApp()
    chat_app.show()
    sys.exit(app.exec_())

8. 总结

以上就是Python使用PyQt5实现与DeepSeek聊天的图形化小软件的详细内容，更多关于Python PyQt5与DeepSeek聊天软件的资料请关注脚本之家其它相关文章！

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