File size: 3,658 Bytes
af2a264
 
 
 
ba5aa63
 
 
af2a264
 
 
 
 
ba5aa63
 
 
 
 
 
 
 
 
af2a264
 
 
 
 
ba5aa63
af2a264
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ba5aa63
af2a264
 
 
 
 
ba5aa63
af2a264
ba5aa63
 
 
af2a264
ba5aa63
 
 
 
 
af2a264
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ba5aa63
af2a264
 
 
ba5aa63
af2a264
 
 
 
 
 
 
 
ba5aa63
af2a264
 
 
 
 
ba5aa63
af2a264
ba5aa63
 
 
af2a264
ba5aa63
 
 
 
 
af2a264
 
 
 
 
 
ba5aa63
 
 
 
 
 
 
 
af2a264
ba5aa63
 
af2a264
ba5aa63
 
 
af2a264
 
ba5aa63
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
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
import express from "express";
import bodyParser from "body-parser";
import dotenv from "dotenv";
import fetch from "node-fetch";
import fs from "fs";
import path from "path";

dotenv.config();

const app = express();
app.use(bodyParser.json());

// 创建图片保存目录
const imageDir = path.join(process.cwd(), "images");
if (!fs.existsSync(imageDir)) {
  fs.mkdirSync(imageDir);
}

// 静态文件服务
app.use("/images", express.static(imageDir));

app.get("/", (req, res) => {
  res.send(`

    <html>

      <head>

        <title>OPENAI</title>

      </head>

      <body>

        <h1>OpenAI</h1>

        <p>Congratulations! Your project has been successfully deployed.</p>

      </body>

    </html>

  `);
});

app.post("/deem/v1/chat/completions", async (req, res) => {
  try {
    const data = req.body;
    const messages = data.messages;
    const lastMessage = messages[messages.length - 1];
    const messagesContent = lastMessage.content;

    const apiUrl = `https://api-flux1.api4gpt.com/?prompt=${messagesContent}`;

    const apiResponse = await fetch(apiUrl);
    if (!apiResponse.ok) {
      throw new Error("文生图服务失效:" + apiResponse.status);
    }
    const imageBuffer = await apiResponse.buffer();

    // 生成唯一的文件名
    const fileName = `image_${Date.now()}.jpg`;
    const filePath = path.join(imageDir, fileName);

    // 保存图片到本地
    fs.writeFileSync(filePath, imageBuffer);

    // 构建本地图片URL
    const imgUrl = `/images/${fileName}`;

    console.log(imgUrl);

    if (imgUrl) {
      const chunkId = `chatcmpl-${Date.now()}`;
      const chunkCreated = Math.floor(Date.now() / 1000);

      res.write(
        "data: " +
        JSON.stringify({
          id: chunkId,
          object: "chat.completion.chunk",
          created: chunkCreated,
          model: req.body.model,
          choices: [
            {
              index: 0,
              delta: {
                content: `![](${imgUrl})`,
              },
              finish_reason: null,
            },
          ],
        }) +
        "\n\n"
      );
      res.write("data: [DONE]\n\n");
      res.end();
    } else {
      res.status(500).json({ error: "图片保存失败" });
    }
  } catch (error) {
    console.error("Error:", error);
    res.status(500).json({ error: error.message });
  }
});

app.post("/deem/v1/images/generations", async (req, res) => {
  try {
    const data = req.body;
    const messages = data.prompt;

    const apiUrl = `https://api-flux1.api4gpt.com/?prompt=${messages}`;

    const apiResponse = await fetch(apiUrl);
    if (!apiResponse.ok) {
      throw new Error("文生图服务失效:" + apiResponse.status);
    }
    const imageBuffer = await apiResponse.buffer();

    // 生成唯一的文件名
    const fileName = `image_${Date.now()}.jpg`;
    const filePath = path.join(imageDir, fileName);

    // 保存图片到本地
    fs.writeFileSync(filePath, imageBuffer);

    // 构建本地图片URL
    const imgUrl = `/images/${fileName}`;

    console.log(imgUrl);

    if (imgUrl) {
      const chunkCreated = Math.floor(Date.now() / 1000);

      res.json({
        created: chunkCreated,
        data: [
          {
            url: imgUrl,
          },
        ],
      });
    } else {
      res.status(500).json({ error: "图片保存失败" });
    }
  } catch (error) {
    console.error("Error:", error);
    res.status(500).json({ error: error.message });
  }
});

app.listen(process.env.PORT || 3000);