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	Update app.py
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        app.py
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         @@ -1,11 +1,15 @@ 
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            from flask import Flask, request, jsonify
         
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            import torch
         
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            # Modell betöltése
         
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            tokenizer = AutoTokenizer.from_pretrained("nlpaueb/legal-bert-base-uncased")
         
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            model = AutoModelForQuestionAnswering.from_pretrained("nlpaueb/legal-bert-base-uncased")
         
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            app = Flask(__name__)
         
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            @app.route("/answer", methods=["POST"])
         
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         @@ -27,5 +31,55 @@ def answer(): 
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                return jsonify({"answer": answer})
         
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                app.run()
         
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            import streamlit as st
         
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            import requests
         
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            import threading
         
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            from flask import Flask, request, jsonify
         
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            from transformers import AutoTokenizer, AutoModelForQuestionAnswering
         
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            import torch
         
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            # Modell betöltése
         
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            tokenizer = AutoTokenizer.from_pretrained("nlpaueb/legal-bert-base-uncased")
         
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            model = AutoModelForQuestionAnswering.from_pretrained("nlpaueb/legal-bert-base-uncased")
         
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            # Flask API létrehozása háttérfolyamatként
         
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            app = Flask(__name__)
         
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            @app.route("/answer", methods=["POST"])
         
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                return jsonify({"answer": answer})
         
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            def run_flask_app():
         
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                app.run(port=5000)
         
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            # Flask szerver indítása háttérszálon
         
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            flask_thread = threading.Thread(target=run_flask_app)
         
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            flask_thread.start()
         
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            # Streamlit alkalmazás
         
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            def split_text_into_chunks(text, max_length=512):
         
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                paragraphs = text.split("\n\n")
         
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                chunks = []
         
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                current_chunk = ""
         
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                for paragraph in paragraphs:
         
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                    if len(current_chunk) + len(paragraph) <= max_length:
         
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                        current_chunk += paragraph + "\n\n"
         
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                    else:
         
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                        chunks.append(current_chunk)
         
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                        current_chunk = paragraph + "\n\n"
         
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                if current_chunk:
         
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                    chunks.append(current_chunk)
         
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                return chunks
         
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            st.title("AI Jogi Chatbot")
         
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            # Dokumentum feltöltése
         
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            uploaded_file = st.file_uploader("Töltsön fel egy dokumentumot", type=["txt", "pdf"])
         
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            if uploaded_file:
         
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                context = uploaded_file.read().decode("utf-8")  # Szöveg kinyerése
         
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                chunks = split_text_into_chunks(context)
         
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                st.write(f"A dokumentum {len(chunks)} részre bontva.")
         
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                # Felhasználói kérdés
         
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                question = st.text_input("Írja be a kérdését a dokumentumról:")
         
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                if question:
         
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                    answers = []
         
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                    for i, chunk in enumerate(chunks):
         
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                        response = requests.post(
         
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                            "http://localhost:5000/answer",
         
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                            json={"context": chunk, "question": question},
         
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                        )
         
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                        if response.status_code == 200:
         
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                            answer = response.json().get("answer")
         
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                            answers.append(f"Rész {i+1}: {answer}")
         
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                    st.write("Válaszok:")
         
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                    for ans in answers:
         
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                        st.write(ans)
         
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