Create Python API (#457)

* 更新镜像

* 更新镜像信息

* 更新镜像信息

* Create openai_api.py

* Create requirements.txt

* Create README.md

* 添加python接口

* Delete python directory

* Create README.md

* Create Python API

* 文件结构化

* 文件结构化

python/api/api.py

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+import os
+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+from services.office2txt import office_to_txt
+from typing import List
+from fastapi import HTTPException
+from services.fetch import get_summary
+import aiofiles
+import queue
+import uuid
+
+
+# 请求模型
+class SummaryRequest(BaseModel):
+    url: str
+    level: int
+
+# 响应模型
+class SummaryResponse(BaseModel):
+    url: str
+    title: str
+    summary: str
+
+class ExtractedText(BaseModel):
+    text: str
+
+
+# 文件转文本
+async def process_file(file: UploadFile):
+    file_ext = os.path.splitext(file.filename)[1].lower()
+    if file_ext not in ['.docx', '.pdf', '.doc', '.txt']:
+        return JSONResponse(content={"error": "Unsupported file format"}, status_code=400)
+
+    # 生成唯一的文件名
+    unique_filename = f"{uuid.uuid4()}{file_ext}"
+
+    try:
+        # 读取文件内容并保存到唯一命名的文件中
+        async with aiofiles.open(unique_filename, "wb") as out_file:
+            while True:
+                contents = await file.read(1024)  # 以块的方式读取文件
+                if not contents:
+                    break
+                await out_file.write(contents)
+
+        # 文件处理逻辑，注意传入新的唯一文件名
+        extracted_text = office_to_txt(unique_filename)
+        print(extracted_text)
+        return {"text": extracted_text}
+    except Exception as e:
+        return JSONResponse(content={"error": str(e)}, status_code=500)
+    finally:
+        # 清理：删除临时保存的唯一命名文件
+        if os.path.exists(unique_filename):
+            os.remove(unique_filename)
+
+
+
+# 定义一个处理网页摘要的函数
+async def process_summary(request):
+    if request.level < 0:
+        raise HTTPException(status_code=400, detail="Level must be non-negative.")
+    try:
+        # 使用定义的函数来获取网页摘要
+        summaries = get_summary(request.url, request.level)
+        # 将结果转换为响应模型列表
+        print(summaries)
+        return [SummaryResponse(url=url, title=title, summary=summary) for url, title, summary in summaries]
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+