-
Notifications
You must be signed in to change notification settings - Fork 13
/
app.py
85 lines (67 loc) · 2.47 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
# -*- coding:utf-8 -*-
"""
作者:张贵发
日期:2023年07月7日
描述:项目启动项
"""
from flask import Flask, render_template,request
import webbrowser
import threading
import pandas as pd
from data_promt_words import load_data_text
from data_split import split_data_process
from data_to_image import load_image_data
from data_to_image_midjourney import load_image_data_midjourney
from data_to_vedio import merge_vedio
from data_to_vedio_midjourney import merge_vedio_mid
from data_tts import load_source_data_text
from midjourney.task_bot import start_robot
from image_split import image_split_data
app = Flask(__name__)
@app.route('/')
def index():
data = pd.read_csv("data.csv")
table = data.to_html(index=False, table_id="my-table")
return render_template('index.html',table=table)
@app.route('/save', methods=['POST'])
def save_data():
table_data = request.json # 获取传递的表格数据
# 将表格数据保存到 Pandas DataFrame
df = pd.DataFrame(table_data, columns=['Column1', 'Column2']) # 替换为实际的列名
df.to_csv('data.csv', index=False,header=False) # 将 DataFrame 保存为 CSV 文件
return '数据保存成功!'
@app.route('/send', methods=['POST'])
def receive_text():
pdata = pd.read_csv("data.csv")
api_key = pdata.iloc[5, 1]
data = request.get_json()
text = data.get('text')
text = text.replace(" ","").replace(" ","")
data_path = split_data_process(text)
data_prompt_path = load_data_text(data_path,api_key)
tts_key = pdata.iloc[1, 1]
tts_url = pdata.iloc[3, 1]
tts_region = pdata.iloc[2, 1]
tts_data = load_source_data_text(data_path,tts_key,tts_url,tts_region)
if len(pdata.iloc[7, 1]) < 10:
iamge_source= load_image_data(data_prompt_path,api_key)
path_vedio = merge_vedio(iamge_source, tts_data)
else :
print("走midjourney")
iamge_source = load_image_data_midjourney(data_prompt_path)
image_split = image_split_data(iamge_source)
path_vedio= merge_vedio_mid(image_split, tts_data)
return path_vedio
def load_data():
data = pd.read_csv("data.csv")
return data
def open_browser():
# 在启动后延迟几秒钟打开浏览器,确保Flask应用已经开始运行
print("打开浏览器")
webbrowser.open('http://localhost:5000')
if __name__ == '__main__':
# 创建一个新线程来打开浏览器
thread = threading.Timer(1,open_browser)
thread.start()
app.run()
# load_data()