class XFAIUI: def __init__(self, app_id, api_key): self.app_id = app_id self.api_key = api_key self.url = "http://openapi.xfyun.cn/v2/aiui" self.aue = "raw" self.auth_id = "" self.data_type = "text" self.sample_rate = "16000" self.scene = "main" self.result_level = "complete" self.lat = "39.938838" self.lng = "116.368624" self.aiui_headers = { "Content-Type": "application/x-www-form-urlencoded; charset=utf-8", "Accept": "application/json" }auth_id應該要填什麽
时间: 2024-04-27 08:24:07 浏览: 145
auth_id是用于标识请求的唯一ID,可以填写任意字符串,但建议填写一个具有唯一性的字符串,例如一个UUID。这个字符串在后续的请求中必须保持一致,否则会被认为是新的请求。可以使用Python的uuid库来生成一个UUID,例如:
```
import uuid
auth_id = str(uuid.uuid1())
```
这样就可以生成一个唯一的字符串作为auth_id了。
相关问题
class XFaiuiAPI: def __init__(self, app_id, api_key): self.app_id = app_id self.api_key = api_key self.url = "http://openapi.xfyun.cn/v2/aiui" self.headers = { "Content-Type": "application/x-www-form-urlencoded; charset=utf-8", "X-Appid": self.app_id, "X-CurTime": "", "X-Param": "", "X-CheckSum": "" }该代码能否用于以下代码from flask import Flask, request, jsonify from iflytek import IflytekNLP # 讯飞自然语言处理 API 的封装类 import pandas as pd app = Flask(__name__)
是的,可以使用。您可以将讯飞自然语言处理 API 的封装类代码放入一个名为 `iflytek.py` 的文件中,然后在 Flask 应用中导入这个类,从而实现调用讯飞自然语言处理 API 的功能。以下是一个示例代码,您可以参考一下:
```python
from flask import Flask, request, jsonify
from iflytek import XFaiuiAPI # 讯飞自然语言处理 API 的封装类
import pandas as pd
app = Flask(__name__)
xf_api = XFaiuiAPI("ff76d8e5", "ca01f7ff60c1a357eeca23564b5539b3") # 创建讯飞自然语言处理 API 的封装类实例
@app.route('/text_understand', methods=['POST'])
def text_understand():
text = request.json["text"] # 获取文本
res = xf_api.text_understand(text) # 调用文本理解方法
return jsonify({"result": res})
@app.route('/voice_recognize', methods=['POST'])
def voice_recognize():
audio_data = request.files["audio"].read() # 获取录音文件数据
res = xf_api.voice_recognize(audio_data) # 调用语音识别方法
return jsonify({"result": res})
@app.route('/voice_synthesize', methods=['POST'])
def voice_synthesize():
text = request.json["text"] # 获取文本
res = xf_api.voice_synthesize(text) # 调用语音合成方法
return jsonify({"result": res})
if __name__ == '__main__':
app.run(debug=True)
```
在这个示例代码中,我们在 Flask 应用中定义了三个路由,分别对应于文本理解、语音识别和语音合成三个功能。在每个路由中,我们都调用了讯飞自然语言处理 API 的封装类中相应的方法,并将结果以 JSON 格式返回给客户端。当然,这个示例代码中的 `iflytek.py` 文件需要您自己实现。
import os from PyQt5.QtCore import Qt from PyQt5.QtGui import QPixmap, QIcon from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout, QHBoxLayout, QTreeView, QFileSystemModel class ImageViewer(QWidget): def init(self, folder_path): super().init() self.folder_path = folder_path self.image_dict = {} self.current_image = None self.setWindowTitle("Image Viewer") self.setFixedSize(1000, 600) self.image_label = QLabel(self) self.image_label.setAlignment(Qt.AlignCenter) self.tree_view = QTreeView() self.tree_view.setMinimumWidth(250) self.tree_view.setMaximumWidth(250) self.model = QFileSystemModel() self.model.setRootPath(folder_path) self.tree_view.setModel(self.model) self.tree_view.setRootIndex(self.model.index(folder_path)) self.tree_view.setHeaderHidden(True) self.tree_view.setColumnHidden(1, True) self.tree_view.setColumnHidden(2, True) self.tree_view.setColumnHidden(3, True) self.tree_view.doubleClicked.connect(self.tree_item_double_clicked) self.main_layout = QHBoxLayout(self) self.main_layout.addWidget(self.tree_view) self.main_layout.addWidget(self.image_label) self.load_images() self.update_image() def load_images(self): for file_name in os.listdir(self.folder_path): if file_name.lower().endswith((".jpg", ".jpeg", ".png", ".gif", ".bmp")): file_path = os.path.join(self.folder_path, file_name) self.image_dict[file_name] = file_path current_image = list(self.image_dict.keys())[0] def update_image(self): if self.current_image is not None: pixmap = QPixmap(self.image_dict[self.current_image]) self.image_label.setPixmap(pixmap.scaled(self.width() - self.tree_view.width(), self.height(), Qt.KeepAspectRatio, Qt.SmoothTransformation)) def tree_item_double_clicked(self, index): file_name = self.model.fileName(index) if file_name in self.image_dict: self.current_image = file_name self.update_image() def keyPressEvent(self, event): if event.key() == Qt.Key_A: self.previous_image() elif event.key() == Qt.Key_D: self.next_image() elif event.key() in [Qt.Key_1, Qt.Key_2, Qt.Key_3, Qt.Key_4, Qt.Key_5]: self.save_text_file(event.key() - Qt.Key_0) def previous_image(self): if self.current_image is not None: file_names = list(self.image_dict.keys()) current_index = file_names.index(self.current_image) if current_index > 0: self.current_image = file_names[current_index - 1] else: self.current_image = file_names[-1] self.update_image() def next_image(self): if self.current_image is not None: file_names = list(self.image_dict.keys()) current_index = file_names.index(self.current_image) if current_index < len(file_names) - 1: self.current_image = file_names[current_index + 1] else: self.current_image = file_names[0] self.update_image() def save_text_file(self, number): if self.current_image is not None: file_name = self.current_image txt_file_path = os.path.join(self.folder_path, os.path.splitext(file_name)[0] + ".txt") with open(txt_file_path, "w") as file: file.write(str(number)) if name == "main": import sys app = QApplication(sys.argv) viewer = ImageViewer("D:/图片/wallpaper") viewer.show() sys.exit(app.exec_())这份代码实现不了使用键盘的A键向上翻页以及D键向下翻页,也实现不了键盘数字键生成相应txt文档,帮我分析一下错在哪里
这份代码在实现键盘事件的时候,使用了错误的函数名称。应该使用`keyPressEvent`而不是`key_press_event`函数。另外,在`save_text_file`函数中,应该先判断当前图片是否为`None`,再执行后续的代码。以下是修改后的代码:
```
import os
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPixmap, QIcon
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout, QHBoxLayout, QTreeView, QFileSystemModel
class ImageViewer(QWidget):
def __init__(self, folder_path):
super().__init__()
self.folder_path = folder_path
self.image_dict = {}
self.current_image = None
self.setWindowTitle("Image Viewer")
self.setFixedSize(1000, 600)
self.image_label = QLabel(self)
self.image_label.setAlignment(Qt.AlignCenter)
self.tree_view = QTreeView()
self.tree_view.setMinimumWidth(250)
self.tree_view.setMaximumWidth(250)
self.model = QFileSystemModel()
self.model.setRootPath(folder_path)
self.tree_view.setModel(self.model)
self.tree_view.setRootIndex(self.model.index(folder_path))
self.tree_view.setHeaderHidden(True)
self.tree_view.setColumnHidden(1, True)
self.tree_view.setColumnHidden(2, True)
self.tree_view.setColumnHidden(3, True)
self.tree_view.doubleClicked.connect(self.tree_item_double_clicked)
self.main_layout = QHBoxLayout(self)
self.main_layout.addWidget(self.tree_view)
self.main_layout.addWidget(self.image_label)
self.load_images()
self.update_image()
def load_images(self):
for file_name in os.listdir(self.folder_path):
if file_name.lower().endswith((".jpg", ".jpeg", ".png", ".gif", ".bmp")):
file_path = os.path.join(self.folder_path, file_name)
self.image_dict[file_name] = file_path
self.current_image = list(self.image_dict.keys())[0]
def update_image(self):
if self.current_image is not None:
pixmap = QPixmap(self.image_dict[self.current_image])
self.image_label.setPixmap(pixmap.scaled(self.width() - self.tree_view.width(), self.height(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
def tree_item_double_clicked(self, index):
file_name = self.model.fileName(index)
if file_name in self.image_dict:
self.current_image = file_name
self.update_image()
def keyPressEvent(self, event):
if event.key() == Qt.Key_A:
self.previous_image()
elif event.key() == Qt.Key_D:
self.next_image()
elif event.key() in [Qt.Key_1, Qt.Key_2, Qt.Key_3, Qt.Key_4, Qt.Key_5]:
self.save_text_file(event.key() - Qt.Key_0)
def previous_image(self):
if self.current_image is not None:
file_names = list(self.image_dict.keys())
current_index = file_names.index(self.current_image)
if current_index > 0:
self.current_image = file_names[current_index - 1]
else:
self.current_image = file_names[-1]
self.update_image()
def next_image(self):
if self.current_image is not None:
file_names = list(self.image_dict.keys())
current_index = file_names.index(self.current_image)
if current_index < len(file_names) - 1:
self.current_image = file_names[current_index + 1]
else:
self.current_image = file_names[0]
self.update_image()
def save_text_file(self, number):
if self.current_image is not None:
file_name = self.current_image
txt_file_path = os.path.join(self.folder_path, os.path.splitext(file_name)[0] + ".txt")
with open(txt_file_path, "w") as file:
file.write(str(number))
if __name__ == "__main__":
import sys
app = QApplication(sys.argv)
viewer = ImageViewer("D:/图片/wallpaper")
viewer.show()
sys.exit(app.exec_())
```
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