Updata
Browse files
app.py
CHANGED
|
@@ -1,76 +1,7 @@
|
|
| 1 |
-
# app.py (主入口文件)
|
| 2 |
-
import os
|
| 3 |
-
from fastapi import FastAPI, File, UploadFile
|
| 4 |
-
from fastapi.staticfiles import StaticFiles
|
| 5 |
-
from fastapi.middleware.cors import CORSMiddleware
|
| 6 |
import gradio as gr
|
| 7 |
-
import uvicorn
|
| 8 |
-
import aiofiles
|
| 9 |
-
from typing import List
|
| 10 |
-
import service
|
| 11 |
|
| 12 |
-
|
| 13 |
-
|
| 14 |
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
# CORS 配置(保持与 controller.py 一致)
|
| 19 |
-
app.add_middleware(
|
| 20 |
-
CORSMiddleware,
|
| 21 |
-
allow_origins=["http://localhost:5173"], # 前端开发地址
|
| 22 |
-
allow_credentials=True,
|
| 23 |
-
allow_methods=["*"],
|
| 24 |
-
allow_headers=["*"],
|
| 25 |
-
)
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
# ---------- 原 controller.py 的路由 ----------
|
| 29 |
-
@app.get("/dataList/{datatype}")
|
| 30 |
-
async def read_data(datatype):
|
| 31 |
-
return service.getALlData() # 示例数据,替换为实际 service 调用
|
| 32 |
-
|
| 33 |
-
# 定义带路径参数的 GET 请求处理函数
|
| 34 |
-
@app.get("/details/{name}")
|
| 35 |
-
async def read_item(name: str = None):
|
| 36 |
-
data = service.getListByName("integration_accuracy.csv", name)
|
| 37 |
-
return data
|
| 38 |
-
|
| 39 |
-
@app.post("/upload")
|
| 40 |
-
async def upload_files(files: List[UploadFile] = File(...)):
|
| 41 |
-
for file in files:
|
| 42 |
-
save_path = os.path.join(uploadPath, file.filename)
|
| 43 |
-
try:
|
| 44 |
-
async with aiofiles.open(save_path, 'wb') as out_file:
|
| 45 |
-
content = await file.read()
|
| 46 |
-
await out_file.write(content)
|
| 47 |
-
except Exception as e:
|
| 48 |
-
return {"message": f"Error: {e}"}
|
| 49 |
-
finally:
|
| 50 |
-
await file.close()
|
| 51 |
-
return {"success": True, "message": "Files uploaded"}
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
# 挂载 Vue3 前端静态文件(部署时需要)
|
| 55 |
-
app.mount("/", StaticFiles(directory="static", html=True), name="static")
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
# ---------- 集成 Gradio 接口 ----------
|
| 59 |
-
def gradio_predict(text):
|
| 60 |
-
return f"Processed: {text}"
|
| 61 |
-
|
| 62 |
-
gradio_ui = gr.Interface(
|
| 63 |
-
fn=gradio_predict,
|
| 64 |
-
inputs=gr.Textbox(label="输入文本"),
|
| 65 |
-
outputs=gr.Textbox(label="处理结果"),
|
| 66 |
-
title="Gradio 交互界面"
|
| 67 |
-
)
|
| 68 |
-
|
| 69 |
-
# 将 Gradio 挂载到 /gradio 路径
|
| 70 |
-
app = gr.mount_gradio_app(app, gradio_ui, path="/gradio")
|
| 71 |
-
|
| 72 |
-
# ---------- 启动配置 ----------
|
| 73 |
-
if __name__ == "__main__":
|
| 74 |
-
# Hugging Face Spaces 使用 PORT 环境变量
|
| 75 |
-
port = int(os.getenv("PORT", 8000))
|
| 76 |
-
uvicorn.run(app, host="0.0.0.0", port=port)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
+
def greet(name):
|
| 4 |
+
return f"Hello, {name}!"
|
| 5 |
|
| 6 |
+
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
|
| 7 |
+
demo.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|