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Files changed (5) hide show
  1. Dockerfile +6 -14
  2. main.py +36 -0
  3. requirements.txt +5 -9
  4. templates/index.html +17 -0
  5. templates/script.js +14 -0
Dockerfile CHANGED
@@ -1,14 +1,6 @@
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- FROM python:3.9-slim
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-
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- # تعيين مجلد العمل
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- WORKDIR /app
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-
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- # نسخ ملف المتطلبات وتثبيت الحزم
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- COPY requirements.txt .
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- RUN pip install --no-cache-dir -r requirements.txt
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-
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- # نسخ باقي الملفات
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- COPY . .
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-
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- # تشغيل التطبيق
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- CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
 
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+ FROM python:3.9-slim
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+ WORKDIR /app
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+ COPY requirements.txt .
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+ RUN pip install --no-cache-dir -r requirements.txt
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+ COPY . .
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+ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
 
 
 
 
 
 
 
 
main.py ADDED
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+ from fastapi import FastAPI, UploadFile, File
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+ from fastapi.staticfiles import StaticFiles
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+ import os
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+
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+ app = FastAPI()
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+
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+ # ربط مجلد static للواجهة الأمامية
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+ app.mount("/static", StaticFiles(directory="static"), name="static")
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+
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+ @app.get("/")
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+ async def root():
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+ return {"message": "Welcome to AI Web App"}
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+
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+ from transformers import pipeline
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+
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+ # تحميل نموذج لتلخيص النصوص
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+ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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+ # تحميل نموذج لتفسير الصور (يمكن استبداله بـ Qwen إذا كان متاحًا)
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+ image_captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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+
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+ from tika import parser
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+
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+ @app.post("/summarize")
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+ async def summarize_document(file: UploadFile = File(...)):
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+ # استخراج النص من المستند
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+ content = parser.from_buffer(await file.read())["content"]
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+ # تلخيص النص
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+ summary = summarizer(content, max_length=130, min_length=30, do_sample=False)
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+ return {"summary": summary[0]["summary_text"]}
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+
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+ @app.post("/caption")
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+ async def caption_image(file: UploadFile = File(...)):
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+ # تفسير الصورة
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+ caption = image_captioner(await file.read())
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+ return {"caption": caption[0]["generated_text"]}
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+
requirements.txt CHANGED
@@ -1,9 +1,5 @@
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- fastapi
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- uvicorn
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- huggingface_hub
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- transformers
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- python-multipart
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- pandas
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- matplotlib
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- seaborn
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- pymupdf
 
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+ fastapi
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+ uvicorn
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+ transformers
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+ torch
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+ tika
 
 
 
 
templates/index.html ADDED
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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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+ <title>AI Web App</title>
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+ <link rel="stylesheet" href="/static/style.css">
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+ </head>
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+ <body>
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+ <h1>AI-Powered Web App</h1>
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+ <form id="upload-form" enctype="multipart/form-data">
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+ <input type="file" id="file-input" name="file">
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+ <button type="submit">Analyze</button>
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+ </form>
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+ <div id="result"></div>
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+ <script src="/static/script.js"></script>
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+ </body>
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+ </html>
templates/script.js ADDED
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+ document.getElementById("upload-form").addEventListener("submit", async (e) => {
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+ e.preventDefault();
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+ const fileInput = document.getElementById("file-input");
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+ const formData = new FormData();
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+ formData.append("file", fileInput.files[0]);
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+
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+ const endpoint = fileInput.files[0].type.startsWith("image/") ? "/caption" : "/summarize";
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+ const response = await fetch(endpoint, {
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+ method: "POST",
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+ body: formData
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+ });
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+ const result = await response.json();
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+ document.getElementById("result").innerText = result.summary || result.caption;
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+ });