求大佬帮忙翻译java成易语言

liujianxin123

1. Install the Javascript client (docs) if you don't already have it installed.

copy
$ npm i -D @gradio/client

2. Find the API endpoint below corresponding to your desired function in the app. Copy the code snippet, replacing the placeholder values with your own input data. Or use the

API Recorder

to automatically generate your API requests.

api_name: [color=var(--color-accent)]/load_modelcopy
import { Client } from "@gradio/client";const client = await Client.connect([color=var(--color-accent-base)]"http://127.0.0.1:7860/");const result = await client.predict([color=var(--color-accent)]"/load_model", {                                 model: "情感模型", });console.log(result.data);




Accepts 1 parameter:

---

model string Default: "请先选择加载模型"

[color=var(--body-text-color-subdued)]The input value that is provided in the "模型" Dropdown component.

Returns list of 2 elements

---

[0] string

[color=var(--body-text-color-subdued)]The output value that appears in the "状态" Textbox component.

---

[1] string

[color=var(--body-text-color-subdued)]The output value that appears in the "模型" Dropdown component.

api_name: [color=var(--color-accent)]/model_inferencecopy
import { Client } from "@gradio/client";const response_0 = await fetch("undefined");const exampleFile = await response_0.blob();                                                const client = await Client.connect([color=var(--color-accent-base)]"http://127.0.0.1:7860/");const result = await client.predict([color=var(--color-accent)]"/model_inference", {                                 model: "情感模型",                                 video_input: exampleFile,                                 language: "自动",                                 hotwords: "Hello!!",                                 format_selector: "TXT",                                 speaker: true, });console.log(result.data);




Accepts 6 parameters:

---

model string Default: "请先选择加载模型"

[color=var(--body-text-color-subdued)]The input value that is provided in the "模型" Dropdown component.

---

video_input any Required

[color=var(--body-text-color-subdued)]The input value that is provided in the "上传音视频文件（可多选）" File component. null

---

language string Default: "自动"

[color=var(--body-text-color-subdued)]The input value that is provided in the "语言" Dropdown component.

---

hotwords string Default: "热词 用空格 隔开 十字鱼"

[color=var(--body-text-color-subdued)]The input value that is provided in the "热词" Textbox component.

---

format_selector string Default: "TXT"

[color=var(--body-text-color-subdued)]The input value that is provided in the "格式" Dropdown component.

---

speaker boolean Default: False

[color=var(--body-text-color-subdued)]The input value that is provided in the "识别说话人（仅热词模型支持）" Checkbox component.

Returns list of 3 elements

---

[0] string

[color=var(--body-text-color-subdued)]The output value that appears in the "状态" Textbox component.

---

[1] string

[color=var(--body-text-color-subdued)]The output value that appears in the "输出" Textbox component.

---

[2]

[color=var(--body-text-color-subdued)]The output value that appears in the "下载文件" File component.

404错误

你直接发开发文档链接或者文件还好看一点

liujianxin123

404错误 发表于 2025-3-22 11:39
你直接发开发文档链接或者文件还好看一点

本地部署的、、、哥哥

liujianxin123

404错误 发表于 2025-3-22 11:39
你直接发开发文档链接或者文件还好看一点

1. Install the Python client (docs) if you don't already have it installed.

copy
$ pip install gradio_client
2. Find the API endpoint below corresponding to your desired function in the app. Copy the code snippet, replacing the placeholder values with your own input data. Or use the
API Recorder

to automatically generate your API requests.

api_name: /load_model
copy
from gradio_client import Client

client = Client("http://127.0.0.1:7860/")
result = client.predict(
                model="请先选择加载模型",
                api_name="/load_model"
)
print(result)
Accepts 1 parameter:
model Literal['情感模型', '热词模型', '情感模型（带时间戳）', 'whisper-large-v3-turbo', 'whisper-large-v3', '请先选择加载模型'] Default: "请先选择加载模型"

The input value that is provided in the "模型" Dropdown component.
Returns tuple of 2 elements
[0] str

The output value that appears in the "状态" Textbox component.

[1] Literal['情感模型', '热词模型', '情感模型（带时间戳）', 'whisper-large-v3-turbo', 'whisper-large-v3', '请先选择加载模型']

The output value that appears in the "模型" Dropdown component.

api_name: /model_inference
copy
from gradio_client import Client, handle_file

client = Client("http://127.0.0.1:7860/")
result = client.predict(
                model="请先选择加载模型",
                video_input=[handle_file('https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf')],
                language="自动",
                hotwords="热词 用空格 隔开 十字鱼",
                format_selector="TXT",
                speaker=False,
                api_name="/model_inference"
)
print(result)
Accepts 6 parameters:
model Literal['情感模型', '热词模型', '情感模型（带时间戳）', 'whisper-large-v3-turbo', 'whisper-large-v3', '请先选择加载模型'] Default: "请先选择加载模型"

The input value that is provided in the "模型" Dropdown component.
video_input list[filepath] Required

The input value that is provided in the "上传音视频文件（可多选）" File component. null

language Literal['自动', '中文', '英文', '粤语', '日文', '韩文', '无语言'] Default: "自动"

The input value that is provided in the "语言" Dropdown component.
hotwords str Default: "热词 用空格 隔开 十字鱼"

The input value that is provided in the "热词" Textbox component.
format_selector Literal['TXT', 'LRC', 'SRT'] Default: "TXT"

The input value that is provided in the "格式" Dropdown component.
speaker bool Default: False

The input value that is provided in the "识别说话人（仅热词模型支持）" Checkbox component.
Returns tuple of 3 elements
[0] str

The output value that appears in the "状态" Textbox component.

[1] str

The output value that appears in the "输出" Textbox component.

[2] filepath

The output value that appears in the "下载文件" File component.  这是py

xz0455

连接到Gradio API并调用/load_model接口
.版本 2

.程序集 窗口程序集_启动窗口
.程序集变量 client, 对象
.程序集变量 result, 对象

.子程序 __启动窗口_创建完毕
    client.创建 (“WinHttp.WinHttpRequest.5.1”)
    client.方法 (“Open”, “POST”, “http://127.0.0.1:7860/load_model”, 假)
    client.方法 (“SetRequestHeader”, “Content-Type”, “application/json”)
    client.方法 (“Send”, “{""model"": ""情感模型""}”)
    result ＝ client.方法 (“ResponseText”)
    输出调试文本 (result)

调用/model_inference接口
.版本 2

.程序集 窗口程序集_启动窗口
.程序集变量 client, 对象
.程序集变量 result, 对象
.程序集变量 exampleFile, 字节集

.子程序 __启动窗口_创建完毕
    exampleFile ＝ HTTP读文件 (“http://example.com/path/to/video/file”)
   
    client.创建 (“WinHttp.WinHttpRequest.5.1”)
    client.方法 (“Open”, “POST”, “http://127.0.0.1:7860/model_inference”, 假)
    client.方法 (“SetRequestHeader”, “Content-Type”, “application/json”)
    client.方法 (“Send”, “{""model"": ""情感模型"", ""video_input"": ""” ＋ 字节集到文本 (exampleFile) ＋ “"", ""language"": ""自动"", ""hotwords"": ""Hello!!"", ""format_selector"": ""TXT"", ""speaker"": true}”)
    result ＝ client.方法 (“ResponseText”)
    输出调试文本 (result)

liujianxin123

xz0455 发表于 2025-3-22 13:07
连接到Gradio API并调用/load_model接口
.版本 2

大哥运行不起来，请给个e文件