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Browse files- backend/__pycache__/main.cpython-313.pyc +0 -0
- backend/main.py +31 -0
- backend/models.py +0 -0
- backend/utils.py +0 -0
- frontend/index.html +17 -0
- frontend/script.js +20 -0
- frontend/style.css +0 -0
backend/__pycache__/main.cpython-313.pyc
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backend/main.py
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from fastapi import FastAPI, UploadFile, File
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from pydantic import BaseModel
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import fitz # pymupdf لاستخراج النصوص من PDF
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import tika
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from tika import parser
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import os
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# تهيئة Tika
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tika.initVM()
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# إنشاء تطبيق FastAPI
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app = FastAPI()
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# نموذج لرفع الملفات
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class DocumentUpload(BaseModel):
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filename: str
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@app.get("/")
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async def home():
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return {"message": "AI Web App is Running!"}
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# API لاستخراج النصوص من PDF
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@app.post("/extract_text/")
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async def extract_text(file: UploadFile = File(...)):
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contents = await file.read()
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with open(file.filename, "wb") as f:
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f.write(contents)
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parsed = parser.from_file(file.filename)
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os.remove(file.filename) # حذف الملف بعد المعالجة
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return {"text": parsed["content"]}
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backend/models.py
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backend/utils.py
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frontend/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AI Web App</title>
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<link rel="stylesheet" href="style.css">
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</head>
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<body>
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<h1>AI Web App</h1>
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<input type="file" id="fileInput">
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<button onclick="uploadFile()">Upload</button>
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<pre id="output"></pre>
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<script src="script.js"></script>
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</body>
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</html>
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frontend/script.js
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async function uploadFile() {
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const fileInput = document.getElementById("fileInput");
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const file = fileInput.files[0];
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if (!file) {
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alert("Please select a file first.");
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return;
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}
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const formData = new FormData();
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formData.append("file", file);
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const response = await fetch("http://127.0.0.1:8000/extract_text/", {
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method: "POST",
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body: formData
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});
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const data = await response.json();
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document.getElementById("output").innerText = data.text;
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}
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frontend/style.css
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