Create app.py

app.py

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+import streamlit as st
+import datetime
+import requests
+from streamlit_extras.add_vertical_space import add_vertical_space
+from streamlit_lottie import st_lottie
+import streamlit.components.v1 as components
+
+# Senin lokal servislerini doğrudan içeri aktarıyoruz (FastAPI veya Render'a gerek yok!)
+from app.services.nlp_triplet import extract_triplets_from_text
+from app.services.memory_engine import group_by_author, count_predicates, most_common_subjects
+from app.services.graph_builder import build_graph_from_triplets
+from app.services.graph_visualizer import visualize_graph
+
+st.set_page_config(page_title="AI Memory Graph", layout="wide", page_icon="🧠")
+
+# Lottie Animasyonu Yükleme
+def load_lottieurl(url: str):
+    r = requests.get(url)
+    if r.status_code != 200: return None
+    return r.json()
+
+lottie_ai = load_lottieurl("https://assets9.lottiefiles.com/packages/lf20_touohxv0.json")
+
+col1, col2 = st.columns([4, 1])
+with col1:
+    st.title("🧠 AI Memory Graph")
+    st.markdown("A visual way to extract and understand multi-user chat memories using NLP + Graphs.")
+with col2:
+    if lottie_ai:
+        st_lottie(lottie_ai, height=100, key="ai")
+
+add_vertical_space(1)
+
+# Session State Tanımlamaları
+if "messages" not in st.session_state:
+    st.session_state["messages"] = []
+if "triplets" not in st.session_state:
+    st.session_state["triplets"] = []
+
+# --- SOHBET GİRİŞ ALANI ---
+st.subheader("💬 Add Chat Messages")
+with st.form("message_form", clear_on_submit=True):
+    col_sender, col_msg = st.columns([1, 3])
+    with col_sender:
+        sender = st.text_input("Sender", placeholder="e.g. Erdem")
+    with col_msg:
+        text = st.text_input("Message", placeholder="e.g. I recommend using FastAPI for the backend.")
+    
+    submitted = st.form_submit_button("➕ Add Message")
+    if submitted and sender and text:
+        st.session_state["messages"].append({
+            "sender": sender,
+            "text": text,
+            "timestamp": datetime.datetime.utcnow().isoformat()
+        })
+        st.success(f"Message added for {sender}!")
+
+# Eklenen mesajları göster
+if st.session_state["messages"]:
+    with st.expander("📑 View Current Messages", expanded=False):
+        st.json(st.session_state["messages"])
+
+    add_vertical_space(1)
+    
+    # --- İŞLEM BUTONLARI ---
+    c1, c2, c3 = st.columns(3)
+
+    # 1. Triplet Çıkarma İşlemi
+    with c1:
+        if st.button("🔍 Extract Triplets", use_container_width=True):
+            with st.spinner("Analyzing text with SpaCy Transformer..."):
+                all_triplets = []
+                for msg in st.session_state["messages"]:
+                    extracted = extract_triplets_from_text(msg["text"])
+                    for triplet in extracted:
+                        triplet["timestamp"] = msg["timestamp"]
+                        triplet["author"] = msg["sender"]
+                        all_triplets.append(triplet)
+                
+                st.session_state["triplets"] = all_triplets
+                st.success(f"Extracted {len(all_triplets)} triplets!")
+                st.json(all_triplets)
+
+    # 2. Hafıza Özeti İşlemi
+    with c2:
+        if st.button("📝 Memory Summary", use_container_width=True):
+            if not st.session_state["triplets"]:
+                st.warning("Please extract triplets first!")
+            else:
+                summary = {
+                    "total_triplets": len(st.session_state["triplets"]),
+                    "by_user": group_by_author(st.session_state["triplets"]),
+                    "predicate_counts": count_predicates(st.session_state["triplets"]),
+                    "common_subjects": most_common_subjects(st.session_state["triplets"])
+                }
+                st.write("### 📊 Stats")
+                st.json(summary)
+
+    # 3. Grafik Çizdirme İşlemi
+    with c3:
+        if st.button("🌐 Show Knowledge Graph", use_container_width=True):
+            if not st.session_state["triplets"]:
+                st.warning("Please extract triplets first!")
+            else:
+                with st.spinner("Building and rendering graph..."):
+                    # Grafiği oluştur
+                    G = build_graph_from_triplets(st.session_state["triplets"])
+                    
+                    # HTML olarak kaydet (webbrowser.open KESİNLİKLE KAPALI OLMALI)
+                    visualize_graph(G, output_path="memory_graph.html")
+                    
+                    # Kaydedilen HTML'i Streamlit içine göm
+                    try:
+                        with open("memory_graph.html", "r", encoding="utf-8") as f:
+                            html_content = f.read()
+                        st.write("### 🕸️ Graph Visualization")
+                        components.html(html_content, height=600, scrolling=True)
+                    except FileNotFoundError:
+                        st.error("Graph HTML file could not be generated.")
+
+# Footer
+add_vertical_space(3)
+st.markdown("---")
+st.caption("Developed by Erdem Yavuz Hacisoftaoglu | Powered by SpaCy, NetworkX & Streamlit")