Delete app2.py

app2.py

@@ -1,76 +0,0 @@
-from flask import Flask, request, jsonify
-import pymongo
-import requests
-import json
-
-app = Flask(__name__)
-
-# MongoDB bağlantısı
-mongo_client = pymongo.MongoClient('mongodb://localhost:27017/')
-db = mongo_client['EgitimDatabase']
-collection = db['test']
-
-# Model API Endpoint
-MODEL_API_URL = "https://api.example.com/model"  # Hugging Face API URL veya başka bir model URL'si
-MODEL_API_KEY = "YOUR_API_KEY"  # API anahtarınız
-
-def get_model_prediction(title, keywords, subheadings):
-    headers = {
-        'Authorization': f'Bearer {MODEL_API_KEY}',
-        'Content-Type': 'application/json'
-    }
-    payload = {
-        'title': title,
-        'keywords': keywords,
-        'subheadings': subheadings
-    }
-    try:
-        response = requests.post(MODEL_API_URL, headers=headers, json=payload)
-        response.raise_for_status()  # HTTP hatalarını yakalar
-        result = response.json()
-        return result
-    except requests.exceptions.HTTPError as http_err:
-        return {'error': f'HTTP error occurred: {http_err}'}
-    except Exception as err:
-        return {'error': f'Other error occurred: {err}'}
-
-@app.route('/predict', methods=['POST'])
-def predict():
-    data = request.json
-    title = data.get('title')
-    keywords = data.get('keywords')
-    subheadings = data.get('subheadings')
-    
-    # Giriş verilerini doğrulama
-    if not title or not keywords or not subheadings:
-        return jsonify({'error': 'Title, keywords, and subheadings are required'}), 400
-
-    # MongoDB'den ilgili verileri çekme
-    query = {
-        'title': title,
-        'keywords': {'$in': keywords.split(',')},
-        'subheadings': {'$in': subheadings.split(',')}
-    }
-    try:
-        documents = list(collection.find(query))
-    except Exception as e:
-        return jsonify({'error': f'Error querying MongoDB: {e}'}), 500
-
-    # Model API'den tahmin alma
-    predictions = []
-    for doc in documents:
-        result = get_model_prediction(doc['title'], doc['keywords'], doc['subheadings'])
-        predictions.append(result)
-
-    # Sonuçları döndürme
-    response = {
-        'title': title,
-        'keywords': keywords,
-        'subheadings': subheadings,
-        'predictions': predictions
-    }
-    
-    return jsonify(response)
-
-if __name__ == "__main__":
-    app.run(host='0.0.0.0', port=8080)