Delete app.py

app.py

@@ -1,67 +0,0 @@
-from flask import Flask, request, jsonify
-import pymongo
-import requests
-import json
-from transformers import MT5ForConditionalGeneration, MT5Tokenizer
-import torch
-from torch.nn.functional import softmax
-
-app = Flask(__name__)
-
-#hazırladığım verilere ait database 
-mongo_client = pymongo.MongoClient('mongodb://localhost:27017/')
-db = mongo_client['EgitimDatabase']
-collection = db['test']
-
-
-
-#kullanıcılara ait inputların kaydedileceği database
-mongo_client = pymongo.MongoClient('mongodb://localhost:27017/')
-db = mongo_client['EgitimDatabase']
-collection = db['input'] 
-
-
-
-
-    
-    outputs = model.generate(**inputs, output_scores=True, return_dict_in_generate=True, num_beams=5)
-    generated_text = tokenizer.decode(outputs.sequences[0], skip_special_tokens=True)
-    
-    return generated_text
-
-@app.route('/predict', methods=['POST'])
-def predict():
-    data = request.json
-    title = data.get('title')
-    keywords = data.get('keywords')
-    subheadings = data.get('subheadings')
-    
-    # MongoDB'den ilgili verileri çekme
-    query = {
-        'title': title,
-        'keywords': {'$in': keywords.split(',')},
-        'subheadings': {'$in': subheadings.split(',')}
-    }
-    documents = list(collection.find(query))
-
-    if not documents:
-        return jsonify({'error': 'No documents found matching the query'}), 404
-
-    # Verilerle metin oluşturma
-    generated_texts = []
-    for doc in documents:
-        generated_text = generate_text(doc['title'], doc['keywords'], doc['subheadings'])
-        generated_texts.append(generated_text)
-
-    # Sonuçları döndürme
-    response = {
-        'title': title,
-        'keywords': keywords,
-        'subheadings': subheadings,
-        'generated_texts': generated_texts
-    }
-    
-    return jsonify(response)
-
-if __name__ == "__main__":
-    app.run(host='0.0.0.0', port=8080)