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import random, time
from flask import Flask, render_template, request, redirect, url_for, flash, send_from_directory, jsonify
from werkzeug.utils import secure_filename
import os
from PyPDF2 import PdfReader
from flask_sqlalchemy import SQLAlchemy
from sentence_transformers import SentenceTransformer
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
app = Flask(__name__)
app.config['SECRET_KEY'] = 'your-secret-key'
app.config['UPLOAD_FOLDER'] = 'uploads/'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///papers.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
class Paper(db.Model):
id = db.Column(db.Integer, primary_key=True)
filename = db.Column(db.String(120), nullable=False)
text = db.Column(db.Text, nullable=True)
def update_papers_from_uploads():
for _tries in range(5):
try:
uploads_dir = app.config['UPLOAD_FOLDER']
file_list = os.listdir(uploads_dir)
print("Files in uploads folder:", file_list)
for filename in file_list:
if filename.lower().endswith('.pdf'):
# Check if file is already in the DB
if not Paper.query.filter_by(filename=filename).first():
print("Processing file:", filename)
file_path = os.path.join(uploads_dir, filename)
extracted_text = ""
try:
reader = PdfReader(file_path)
for page in reader.pages:
text = page.extract_text()
if text:
extracted_text += text
except Exception as e:
flash(f'Error processing {filename}: {e}')
continue
if not extracted_text.strip():
print(f"Warning: No text extracted from {filename}")
else:
print(f"Extracted {len(extracted_text)} characters from {filename}")
new_paper = Paper(filename=filename, text=extracted_text)
db.session.add(new_paper)
db.session.commit()
return
except Exception as e:
print("WEB SERVER LOAD EXCEPTION", e, str(e))
time.sleep(random.randint(5, 15))
return
#raise Exception("FAILED TO UPDATE")
# Load a pre-trained sentence transformer model
model = SentenceTransformer('all-MiniLM-L6-v2')
@app.route('/update', methods=['GET'])
def update_on_demand():
update_papers_from_uploads()
return jsonify({"message": "Uploads folder processed successfully."})
@app.route('/')
def index():
update_papers_from_uploads()
papers = Paper.query.all()
return render_template('index.html', papers=papers)
@app.route('/upload', methods=['GET', 'POST'])
def upload():
if request.method == 'POST':
if 'pdf' not in request.files:
flash('No file part')
return redirect(request.url)
file = request.files['pdf']
if file.filename == '':
flash('No selected file')
return redirect(request.url)
if file:
filename = secure_filename(file.filename)
file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(file_path)
extracted_text = ""
try:
reader = PdfReader(file_path)
for page in reader.pages:
text = page.extract_text()
if text:
extracted_text += text
except Exception as e:
flash(f'Error processing PDF: {e}')
new_paper = Paper(filename=filename, text=extracted_text)
db.session.add(new_paper)
db.session.commit()
flash('File uploaded and processed successfully!')
return redirect(url_for('index'))
return render_template('upload.html')
@app.route('/search')
def search():
query = request.args.get('q', '')
if query:
papers = Paper.query.all()
query_embedding = model.encode([query])
paper_texts = [paper.text for paper in papers if paper.text]
if not paper_texts:
return render_template('search.html', papers=[], query=query)
paper_embeddings = model.encode(paper_texts)
similarities = cosine_similarity(query_embedding, paper_embeddings)[0]
papers_with_scores = list(zip([p for p in papers if p.text], similarities))
papers_sorted = sorted(papers_with_scores, key=lambda x: x[1], reverse=True)
return render_template('search.html', papers=papers_sorted, query=query)
return render_template('search.html', papers=[], query=query)
@app.route('/api/search')
def api_search():
query = request.args.get('q', '')
if not query:
return jsonify({'error': 'No query provided'}), 400
papers = Paper.query.all()
if not papers:
return jsonify({'query': query, 'results': []})
query_embedding = model.encode([query])
paper_texts = [paper.text for paper in papers if paper.text]
if not paper_texts:
return jsonify({'query': query, 'results': []})
paper_embeddings = model.encode(paper_texts)
similarities = cosine_similarity(query_embedding, paper_embeddings)[0]
papers_with_scores = list(zip([p for p in papers if p.text], similarities))
papers_sorted = sorted(papers_with_scores, key=lambda x: x[1], reverse=True)
results = []
for paper, score in papers_sorted:
pdf_url = url_for('uploaded_file', filename=paper.filename, _external=True)
results.append({
'id': paper.id,
'filename': paper.filename,
'similarity': float(score),
'pdf_url': pdf_url
})
return jsonify({'query': query, 'results': results})
@app.route('/uploads/<path:filename>')
def uploaded_file(filename):
return send_from_directory(app.config['UPLOAD_FOLDER'], filename, mimetype='application/pdf')
@app.route('/view/<int:paper_id>')
def view_pdf(paper_id):
paper = Paper.query.get_or_404(paper_id)
pdf_url = url_for('uploaded_file', filename=paper.filename, _external=True)
return render_template('view.html', paper=paper, pdf_url=pdf_url)
def run_app(port=5000):
# Reset the database by removing the existing file
db_path = "papers.db"
if os.path.exists("instance/" + db_path):
os.remove("instance/" + db_path)
with app.app_context():
db.create_all()
if not os.path.exists(app.config['UPLOAD_FOLDER']):
os.makedirs(app.config['UPLOAD_FOLDER'])
app.run(debug=False, port=port)
if __name__ == '__main__':
run_app() |