Deploy final app (secrets removed)

.gitattributes

@@ -0,0 +1,5 @@
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,12 @@
+
+langchain_env/
+Classification Model/
+__pycache__/
+*.pyc
+venv/
+env/
+.venv/
+myenv/
+unstructured_env/
+.vscode/
+.ipynb_checkpoints

Emma/.gradio/certificate.pem

@@ -0,0 +1,31 @@
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+-----END CERTIFICATE-----

Emma/app.py

@@ -0,0 +1,801 @@
+# -*- coding:utf-8 -*-
+
+import os
+import sys
+import json
+import time
+import copy
+import shutil
+import signal
+import logging
+import platform
+
+import gradio as gr
+import nltk
+import torch
+import tiktoken
+
+from openai import OpenAI as OpenAIClient
+from llama_index.embeddings.openai import OpenAIEmbedding
+
+# from langchain_openai import ChatOpenAI, OpenAI as LangChainOpenAI # (If not used, can be commented out)
+from llama_index.llms.openai import OpenAI as LlamaIndexOpenAI
+from llama_index.core import Settings
+from llama_index.core.indices.prompt_helper import PromptHelper
+
+prompt_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')
+sys.path.append(prompt_path)
+
+# Assuming these imports exist in your local environment
+from utils.sys_args import data_args, model_args
+from utils.app_modules.utils import *
+from utils.app_modules.presets import *
+from utils.app_modules.overwrites import *
+from utils.prompt_utils import *
+from utils.memory_utils import (
+    enter_name_llamaindex,
+    summarize_memory_event_personality,
+    save_local_memory,
+    extract_session_summary,
+    extract_semantic_memory,
+)
+
+# Ensure NLTK data path
+nltk.data.path = [os.path.join(os.path.dirname(__file__), "nltk_data")] + nltk.data.path
+
+tokenizer = tiktoken.get_encoding("cl100k_base")
+
+GAPGPT_BASE_URL = os.getenv("GAPGPT_BASE_URL", "https://api.gapgpt.app/v1")
+openai_client_cache = {}
+
+import torch
+import torch.nn.functional as F
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+
+
+# 1. نام دقیق مخزنی که مدل را در آن آپلود کردید
+# فرمت: "Username/RepoName"
+MODEL_ID = "Keyvan1986/Emma-Classification_Model"
+
+# 2. دریافت توکن (اگر مدل Private باشد، این بخش الزامی است)
+# در محیط لوکال می‌توانید توکن را مستقیم بنویسید یا از متغیر محیطی بخوانید
+# در Hugging Face Space، این توکن به صورت خودکار از Secrets خوانده می‌شود (توضیح در پایین)
+hf_token = os.environ.get("HF_TOKEN") # یا مستقیم رشته توکن را بگذارید: "hf_..."
+
+print(f"Loading model from Hugging Face Hub: {MODEL_ID}")
+
+try:
+    # لود کردن توکنایزر از سرور
+    _tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, token=hf_token)
+    
+    # لود کردن مدل از سرور
+    _classifier_model = AutoModelForSequenceClassification.from_pretrained(MODEL_ID, token=hf_token)
+    
+    _classifier_model.eval()
+    print("✅ Model loaded successfully from Hugging Face Hub!")
+
+except Exception as e:
+    print(f"❌ Error loading model: {e}")
+
+
+
+def get_gapgpt_client(api_key: str) -> OpenAIClient:
+    if not api_key:
+        raise ValueError("API key is missing while attempting to create a GapGPT client.")
+    if api_key not in openai_client_cache:
+        openai_client_cache[api_key] = OpenAIClient(api_key=api_key, base_url=GAPGPT_BASE_URL)
+    return openai_client_cache[api_key]
+
+
+os_name = platform.system()
+clear_command = 'cls' if os_name == 'Windows' else 'clear'
+stop_stream = False
+
+
+def signal_handler(signal_number, frame):
+    global stop_stream
+    stop_stream = True
+
+
+VECTOR_SEARCH_TOP_K = 2
+
+# Update this path to your actual file location
+api_path = 'C:\\Users\\keyva\\MMPL_gpt\\api_key_list.txt'
+
+
+def read_apis(path):
+    api_keys_local = []
+    if os.path.exists(path):
+        with open(path, 'r', encoding='utf8') as f:
+            for line in f:
+                line = line.strip()
+                if line:
+                    api_keys_local.append(line)
+    return api_keys_local
+
+
+memory_dir = os.path.expanduser("C:\\Users\\keyva\\MMPL_gpt\\memories\\update_memory_0512_eng.json")
+
+# Ensure directory exists
+os.makedirs(os.path.dirname(memory_dir), exist_ok=True)
+
+if not os.path.exists(memory_dir):
+    json.dump({}, open(memory_dir, "w", encoding="utf-8"))
+
+global memory
+memory = json.load(open(memory_dir, "r", encoding="utf-8"))
+language = 'en'
+user_keyword = generate_user_keyword()[language]
+ai_keyword = generate_ai_keyword()[language]
+boot_name = boot_name_dict[language]
+boot_actual_name = boot_actual_name_dict[language]
+meta_prompt = generate_meta_prompt_dict_chatgpt()[language]
+meta_prompt_semantic = generate_meta_prompt_dict_semantic_chatgpt()[language]
+meta_prompt_semantic_episodic = generate_meta_prompt_dict_semantic_episodic_chatgpt()[language]
+new_user_meta_prompt = generate_new_user_meta_prompt_dict_chatgpt()[language]
+
+api_keys = read_apis(api_path)
+# Fallback if file is empty or missing for testing purposes
+if not api_keys:
+    print(f"Warning: No API keys found in {api_path}.")
+
+new_conversation = False
+chatgpt_config = {
+    "model": "gpt-4o",
+    "temperature": 1,
+    "max_tokens": 1024,
+    "top_p": 0.95,
+    "frequency_penalty": 0.4,
+    "presence_penalty": 0.2,
+    "n": 1,
+}
+
+deactivated_keys = []
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s",
+)
+
+
+def chatgpt_chat(prompt, system, history, gpt_config, api_index=0):
+    """
+    Handles the chat request to OpenAI.
+    History is expected to be a list of dictionaries: [{'role': 'user', 'content': '...'}, ...]
+    """
+    retry_times, count = 5, 0
+    response = None
+
+    while response is None and count < retry_times:
+        try:
+            request = copy.deepcopy(gpt_config)
+            
+            # Initial system and greeting messages
+            if data_args.language == 'en':
+                message = [
+                    {"role": "system", "content": system.strip()},
+                    {"role": "user", "content": "Hi!"},
+                    {"role": "assistant",
+                     "content": f"Hi! I'm {boot_actual_name}! I will give you warm companion!"},
+                ]
+            else:
+                message = [
+                    {"role": "system", "content": system.strip()},
+                    {"role": "user", "content": "Hi"},
+                    {"role": "assistant",
+                     "content": f"Hi! I'm {boot_actual_name}! I will give you warm companion!"},
+                ]
+
+            # --- FIX: Handle History as List of Dicts ---
+            if history:
+                # Verify if history is old format (list of lists) or new (list of dicts)
+                if isinstance(history[0], list):
+                     # Convert old format temporarily if encountered
+                     for q, a in history:
+                         message.append({"role": "user", "content": str(q)})
+                         message.append({"role": "assistant", "content": str(a)})
+                elif isinstance(history[0], dict):
+                    # New format
+                    for msg in history:
+                        if msg.get('role') in ['user', 'assistant']:
+                            message.append(msg)
+
+            # Add the current prompt
+            message.append({"role": "user", "content": f"{prompt}"})
+
+            if not api_keys:
+                return "Error: No API Keys available."
+                
+            client = get_gapgpt_client(api_keys[api_index])
+            
+            # New OpenAI 1.x Syntax
+            response = client.chat.completions.create(messages=message, **request)
+
+        except Exception as e:
+            print(f"Chat Error: {e}")
+            if 'This key is associated with a deactivated account' in str(e):
+                deactivated_keys.append(api_keys[api_index])
+
+            if api_keys:
+                api_index = api_index + 1 if api_index < len(api_keys) - 1 else 0
+                loop_check = 0
+                while api_keys[api_index] in deactivated_keys and loop_check < len(api_keys):
+                    api_index = api_index + 1 if api_index < len(api_keys) - 1 else 0
+                    loop_check += 1
+            count += 1
+
+    if response:
+        response = response.choices[0].message.content
+    else:
+        response = ''
+    return response
+
+
+def classify_query_local(text):
+  
+    
+    # 0: episodic, 1: semantic, 2: semantic_episodic, 3: unrelated
+    id2label_map = {
+        0: "episodic_memory",
+        1: "semantic_memory",
+        2: "semantic-episodic",  
+        3: "unknown"             
+    }
+
+    try:
+       
+        inputs = _tokenizer(
+            text, 
+            return_tensors="pt", 
+            truncation=True, 
+            padding=True, 
+            max_length=512
+        )
+        
+        
+       
+        with torch.no_grad():
+            outputs = _classifier_model(**inputs)
+        
+        
+        logits = outputs.logits
+        probabilities = F.softmax(logits, dim=-1)
+        predicted_class_id = torch.argmax(probabilities, dim=-1).item()
+        
+        
+        category = id2label_map.get(predicted_class_id, "unknown")
+        
+        print(f"Local Classifier: '{text}' -> {category} (Class ID: {predicted_class_id})")
+        return category
+
+    except Exception as e:
+        print(f"Error in local classification: {e}")
+        return "unknown"
+
+
+
+def classify_query_openai(text, gpt_config, api_index=0, retry_times=5):
+    response = None
+    count = 0
+    local_deactivated = []
+    print("text********:", text)
+
+    system_prompt = """
+You are an AI that classifies user queries into one of the following memory types:
+- 'episodic_memory': Queries about past personal events, daily life logs, or specific experiences the user has shared (e.g., "What did I eat yesterday?", "Tell me about my trip").
+- 'semantic_memory': Queries about facts, preferences, general knowledge the user has taught you, or summaries of their personality (e.g., "What is my favorite color?", "Do I like sci-fi movies?").
+- 'semantic-episodic': Complex queries requiring both specific past events and general facts/preferences (e.g., "Based on my food preferences, did I enjoy the dinner last night?").
+
+Output ONLY one of these three strings: 'episodic_memory', 'semantic_memory', or 'semantic-episodic'. If unsure, output 'episodic_memory'.
+    """.strip()
+    
+    if not api_keys:
+        return "unknown"
+
+    while response is None and count < retry_times:
+        try:
+            client = get_gapgpt_client(api_keys[api_index])
+            
+            # New OpenAI 1.x Syntax
+            response = client.chat.completions.create(
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": text.strip()},
+                ],
+                **copy.deepcopy(gpt_config),
+            )
+        except Exception as e:
+            print(f"Classify Error: {e}")
+            if "This key is associated with a deactivated account" in str(e):
+                local_deactivated.append(api_keys[api_index])
+
+            api_index = api_index + 1 if api_index < len(api_keys) - 1 else 0
+            while api_keys[api_index] in local_deactivated:
+                api_index = api_index + 1 if api_index < len(api_keys) - 1 else 0
+            count += 1
+
+    if response:
+        category = response.choices[0].message.content.strip().lower()
+        # Basic cleanup
+        if "semantic_memory" in category: category = "semantic_memory"
+        elif "semantic-episodic" in category: category = "semantic-episodic"
+        elif "episodic_memory" in category: category = "episodic_memory"
+        else: category = "unknown"
+    else:
+        category = "unknown"
+
+    return category
+
+
+def predict_new(
+    text,
+    history,
+    top_p,
+    temperature,
+    max_length_tokens,
+    max_context_length_tokens,
+    user_name,
+    user_memory,
+    user_memory_index,
+    service_context,
+    api_index,
+    semantic_memory_text,
+    query_category,
+):
+    chatgpt_cfg = {
+        "model": "gpt-4o",
+        "temperature": temperature,
+        "max_tokens": max_length_tokens,
+        "top_p": top_p,
+        "frequency_penalty": 0.4,
+        "presence_penalty": 0.2,
+        "n": 1,
+    }
+
+    if text == "":
+        # Return same history if empty input
+        return history, history, "Empty context."
+        
+    # Ensure history is initialized
+    if history is None:
+        history = []
+
+    system_prompt, related_memo = build_prompt_with_search_memory_llamaindex(
+        history=history,
+        query=text, # Changed name to match prompt_utils
+        user_memory=user_memory,
+        user_name=user_name,
+        user_memory_index=user_memory_index,
+        service_context=service_context,
+        api_keys=api_keys,
+        api_index=api_index,
+        meta_prompt=meta_prompt,
+        new_user_meta_prompt=new_user_meta_prompt,
+        data_args=data_args,
+        boot_actual_name=boot_actual_name,
+        semantic_memory_text=semantic_memory_text,
+        query_category=query_category,
+        meta_prompt_semantic=meta_prompt_semantic,
+        meta_prompt_semantic_episodic=meta_prompt_semantic_episodic,
+    )
+
+    # Handle context window slicing manually if needed, 
+    # though usually OpenAI manages this, or we slice the list of dicts.
+    current_history_for_llm = history
+    if len(history) > data_args.max_history * 2: # *2 because 1 user + 1 bot
+        current_history_for_llm = history[-(data_args.max_history * 2):]
+
+    response = chatgpt_chat(
+        prompt=text,
+        system=system_prompt,
+        history=current_history_for_llm,
+        gpt_config=chatgpt_cfg,
+        api_index=api_index,
+    )
+
+    torch.cuda.empty_cache()
+
+    # --- FIX: Update History with Dictionaries (Gradio Chatbot format) ---
+    new_history = history + [
+        {"role": "user", "content": text},
+        {"role": "assistant", "content": response}
+    ]
+
+    # Save memory logic (Needs to handle dict format, assuming save_local_memory can handle it 
+    # OR we convert strictly for saving if your legacy code needs it. 
+    # For now, assuming we pass the object as is or convert for save)
+    if user_name:
+        # If save_local_memory expects list of lists, we might need to adapt it inside that function
+        # or pass a converted version. Let's try passing the new format.
+        save_local_memory(memory, new_history, user_name, data_args)
+
+    # Return: (Chatbot View, State History, Textbox Reset)
+    return new_history, new_history, "Generating..."
+
+# فرض بر این است که توابع و متغیرهای زیر در کد اصلی شما وجود دارند:
+# memory, data_args, enter_name_llamaindex, summarize_memory_event_personality,
+# extract_session_summary, save_local_memory, classify_query_local, predict_new
+# چون در قطعه کد ارسالی نبودند، آن‌ها را ایمپورت یا ماک نمی‌کنم تا کد شما به هم نریزد.
+
+def create_gradio_interface(service_context, api_keys):
+    with gr.Blocks(title="EMMA") as demo:
+        
+        gr.HTML("""
+        <style>
+            /* کانتینر اصلی وسط‌چین */
+            .main-container {
+                max-width: 800px !important;
+                margin-left: auto !important;
+                margin-right: auto !important;
+                padding: 20px;
+                background-color: #ffffff;
+                border-radius: 15px;
+                box-shadow: 0 4px 15px rgba(0,0,0,0.1);
+            }
+
+            /* استایل دکمه‌های آبی روشن */
+            .custom-blue-btn {
+                background-color: #E0F7FA !important;
+                border: 1px solid #4DD0E1 !important;
+                color: #006064 !important;
+                font-size: 13px !important;
+                font-weight: bold !important;
+                border-radius: 8px !important;
+                padding: 5px 10px !important;
+                transition: 0.3s;
+                height: 40px !important;
+            }
+            .custom-blue-btn:hover {
+                background-color: #B2EBF2 !important;
+                box-shadow: 0 2px 5px rgba(0,0,0,0.1);
+            }
+
+            /* === بخش جدید: حذف پس‌زمینه خاکستری === */
+            .no-bg {
+                background: transparent !important;
+                background-color: transparent !important;
+                border: none !important;
+                box-shadow: none !important;
+                padding: 0 !important; /* حذف فاصله‌های اضافی */
+                gap: 10px; /* فاصله بین دکمه‌ها */
+            }
+            /* حذف پس‌زمینه پیش‌فرض Row در نسخه‌های جدید گرادیو */
+            .no-bg > .form {
+                 background: transparent !important;
+                 border: none !important;
+            }
+
+            .gr-textbox textarea { font-size: 16px; }
+            .gr-chatbot { font-size: 15px; }
+                
+                            /* مخفی کردن آیکون و متن لودینگ Gradio */
+            .gradio-container .main .wrap .status {
+                display: none !important;
+            }
+            .eta-bar {
+                display: none !important;
+            }
+            /* مخفی کردن لودر دایره‌ای یا انیمیشن‌های دیگر */
+            .loading {
+                display: none !important;
+            }
+            /* مخفی کردن کانتینر وضعیت در نسخه‌های جدیدتر */
+            footer {
+                display: none !important;
+            }
+            /* یک روش کلی‌تر برای مخفی کردن نشانگر وضعیت روی دکمه‌ها یا خروجی‌ها */
+            .pending {
+                opacity: 1 !important; /* جلوگیری از کم‌رنگ شدن */
+            }
+            /* مخفی کردن نشانگر نارنجی */
+            .progress-text {
+                display: none !important;
+            }
+            .meta-text {
+                display: none !important; 
+            }
+            .loader {
+                display: none !important;
+            }
+
+        </style>
+        """)
+
+        state = gr.State({
+            "history": [], 
+            "user_name": None,
+            "memory": memory,
+            "data_args": data_args,
+            "service_context": service_context,
+            "api_keys": api_keys,
+            "api_index": 0,
+            "semantic_memory_text": "",
+            "new_conversation": True,
+            "initialized": False
+        })
+
+        with gr.Column(elem_classes=["main-container"]):
+
+            header = gr.Markdown("## 🧠 EMMA: Your Empathetic Mental Health Assistant\nWelcome! Please enter your name to begin.")
+
+            with gr.Accordion("🔐 Start New Session", open=True):
+                with gr.Column() as username_row:
+                    username_input = gr.Textbox(label="Your Name", placeholder="e.g., Alex")
+                    age_input = gr.Textbox(label="Age", placeholder="e.g., 28")
+                    gender_input = gr.Dropdown(label="Gender", choices=["Male", "Female", "Other"])
+                    occupation_input = gr.Textbox(label="Occupation", placeholder="e.g., Student, Engineer...")
+                    residence_input = gr.Textbox(label="Place of Residence", placeholder="e.g., Berlin")
+                    submit_name_btn = gr.Button("🎯 Start Session", size="sm", elem_classes=["custom-blue-btn"])
+
+            system_msg = gr.Textbox(label="🔔 System Messages", interactive=False, max_lines=2)
+
+            with gr.Column(visible=False) as chat_interface:
+                active_header = gr.Markdown()
+
+                # اینجا Group را برداشتیم چون خودش بوردر و پس‌زمینه می‌اندازد
+                chatbot = gr.Chatbot(label="💬 EMMA Conversation", height=500)
+
+                # افزودن کلاس no-bg برای حذف پس‌زمینه خاکستری ردیف ورودی و ارسال
+                with gr.Row(elem_classes=["no-bg"]):
+                    user_input = gr.Textbox(placeholder="Type your message here...", show_label=False, scale=4, container=False) 
+                    # نکته: container=False کادر دور تکست‌باکس را تمیزتر می‌کند
+                    submit_btn = gr.Button("📤 Send", size="sm", elem_classes=["custom-blue-btn"], scale=1)
+
+                # افزودن کلاس no-bg برای حذف پس‌زمینه خاکستری ردیف دکمه‌های پایین
+                with gr.Row(equal_height=True, elem_classes=["no-bg"]):
+                    clear_btn = gr.Button("🧹 Clear", size="sm", elem_classes=["custom-blue-btn"])
+                    new_session_btn = gr.Button("🔄 New Session", size="sm", elem_classes=["custom-blue-btn"])
+                    switch_user_btn = gr.Button("👥 Switch User", size="sm", elem_classes=["custom-blue-btn"])
+
+        # -------------------------------------------------------
+        #   Internal Functions (بدون تغییر منطق، فقط کپی شده)
+        # -------------------------------------------------------
+
+        def initialize_session(name, age, gender, occupation, residence, state):
+            if not name.strip():
+                return (
+                    gr.update(visible=True),                 
+                    gr.update(visible=False),                
+                    "Please enter a valid name.",            
+                    gr.update(value=""),                     
+                    gr.update(value="## 🧠 EMMA: Your Empathetic Mental Health Assistant\nWelcome! Please enter your name to begin."),
+                    state,                                   
+                    gr.update(value="")                      
+                )
+
+            hello_msg, user_memory, sessions_memory, episodic_memory, semantic_memory = enter_name_llamaindex(
+                name, memory, data_args)
+
+            memory[name]["profile"] = {
+                "age": age,
+                "gender": gender,
+                "occupation": occupation,
+                "residence": residence
+            }
+
+            if name in memory.keys():
+                user_memory = summarize_memory_event_personality(data_args, memory, name)
+
+            new_state = state.copy()
+            new_state["user_name"] = name
+            new_state["memory"] = memory
+            new_state["initialized"] = True
+            new_state["semantic_memory_text"] = semantic_memory
+            new_state["history"] = [] 
+
+            welcome_msg = hello_msg if hello_msg else f"Welcome {name}! How can I help you today?"
+
+            return (
+                gr.update(visible=False),                  
+                gr.update(visible=True),                   
+                welcome_msg,                               
+                gr.update(value=f"## 🧠 EMMA: Session for {name}"), 
+                gr.update(value=""),                       
+                new_state,
+                gr.update(value="")                        
+            )
+
+        def switch_user(state):
+            if state["initialized"] and state["user_name"] in state["memory"]:
+                if state["memory"][state["user_name"]]["sessions"]:
+                    previous_session = state["memory"][state["user_name"]]["sessions"][-1]
+                    summary = extract_session_summary(
+                        previous_session["conversation"],
+                        previous_session["date"],
+                        len(state["memory"][state["user_name"]]["sessions"]) - 1
+                    )
+                    state["memory"][state["user_name"]]["episodic_memory"].append(summary)
+
+            new_state = {
+                "history": [],
+                "user_name": None,
+                "memory": memory,
+                "data_args": data_args,
+                "service_context": service_context,
+                "api_keys": api_keys,
+                "api_index": 0,
+                "semantic_memory_text": "",
+                "new_conversation": True,
+                "initialized": False
+            }
+
+            return (
+                gr.update(visible=True),                   
+                gr.update(visible=False),                  
+                "Enter a new username to continue.",       
+                gr.update(value=""),                       
+                gr.update(value="## 🧠 EMMA: Your Empathetic Mental Health Assistant\nPlease enter your name to begin."),
+                new_state,
+                gr.update(value=""),                       
+                gr.update(value=[])                        
+            )
+
+        def respond(message, state):
+            if not state["initialized"]:
+                return [], state, "Please enter your name first."
+
+            if not message.strip():
+                return state["history"], state, "Empty input."
+
+            hello_msg, user_memory, sessions_memory, episodic_memory, semantic_memory = enter_name_llamaindex(
+                state["user_name"], memory, data_args)
+
+            memo, semantic_memory_text = save_local_memory(
+                memory, state["history"], state["user_name"], data_args
+            )
+
+            query_category = classify_query_local(message)
+
+            if query_category == "semantic_memory":
+                user_memory_index = semantic_memory
+            elif query_category == "episodic_memory":
+                user_memory_index = episodic_memory
+            elif query_category == "semantic-episodic":
+                user_memory_index = episodic_memory
+            else:
+                user_memory_index = None
+
+            chatbot_view, history, msg = predict_new(
+                text=message,
+                history=state["history"],
+                top_p=0.95,
+                temperature=1,
+                max_length_tokens=1024,
+                max_context_length_tokens=200,
+                user_name=state["user_name"],
+                user_memory=state["memory"],
+                user_memory_index=user_memory_index,
+                service_context=state["service_context"],
+                api_index=state["api_index"],
+                semantic_memory_text=semantic_memory_text,
+                query_category=query_category
+            )
+
+            new_state = state.copy()
+            new_state["history"] = history
+
+            return chatbot_view, new_state, "" 
+
+        def clear_chat(state):
+            new_state = state.copy()
+            new_state["history"] = []
+            return [], new_state, "Conversation cleared."
+
+        def new_session(state):
+            if state["user_name"] in state["memory"]:
+                if state["memory"][state["user_name"]]["sessions"]:
+                    previous = state["memory"][state["user_name"]]["sessions"][-1]
+                    summary = extract_session_summary(
+                        previous["conversation"],
+                        previous["date"],
+                        len(state["memory"][state["user_name"]]["sessions"]) - 1
+                    )
+                    state["memory"][state["user_name"]]["episodic_memory"].append(summary)
+
+            new_s = {
+                "session_id": len(state["memory"][state["user_name"]]["sessions"]),
+                "date": time.strftime("%Y-%m-%d"),
+                "conversation": []
+            }
+            state["memory"][state["user_name"]]["sessions"].append(new_s)
+
+            new_state = state.copy()
+            new_state["history"] = []
+            new_state["new_conversation"] = True
+
+            return [], new_state, f"🆕 New session started (ID: {new_s['session_id']})."
+
+        # -------------------------------------------------------
+        # Buttons Events
+        # -------------------------------------------------------
+
+        submit_name_btn.click(
+            initialize_session,
+            inputs=[username_input, age_input, gender_input, occupation_input, residence_input, state],
+            outputs=[username_row, chat_interface, system_msg, active_header, header, state, username_input]
+        )
+
+        submit_btn.click(respond,
+            inputs=[user_input, state],
+            outputs=[chatbot, state, system_msg])
+
+        user_input.submit(respond,
+            inputs=[user_input, state],
+            outputs=[chatbot, state, system_msg])
+
+        switch_user_btn.click(
+            switch_user,
+            inputs=[state],
+            outputs=[username_row, chat_interface, system_msg, active_header, header, state, username_input, chatbot]
+        )
+
+        clear_btn.click(clear_chat,
+            inputs=[state],
+            outputs=[chatbot, state, system_msg])
+
+        new_session_btn.click(new_session,
+            inputs=[state],
+            outputs=[chatbot, state, system_msg]
+        )
+
+    return demo
+
+
+def main():
+    """Main function to initialize and launch the interface."""
+    gapgpt_api_key = os.getenv("GAPGPT_API_KEY")
+    
+    if not gapgpt_api_key:
+        print("Warning: GAPGPT_API_KEY environment variable is not set. Proceeding with keys from file.")
+    else:
+        # تغییر مهم ۱: ست کردن متغیر محیطی برای جلوگیری از خطاهای ناگهانی کتابخانه‌های وابسته
+        os.environ["OPENAI_API_KEY"] = gapgpt_api_key
+
+    # تنظیم LLM (مدل زبانی)
+    llm = LlamaIndexOpenAI(
+        model="gpt-4o",
+        temperature=1,
+        max_tokens=1024,
+        top_p=0.95,
+        frequency_penalty=0.4,
+        presence_penalty=0.2,
+        api_key=gapgpt_api_key,
+        api_base=GAPGPT_BASE_URL,
+    )
+
+    # تغییر مهم ۲: تنظیم مدل Embedding با همان کلید و آدرس GapGPT
+    # اگر سرویس دهنده شما از امبدینگ پشتیبانی نمی‌کند، این بخش نیاز به تغییر به مدل لوکال دارد
+    embed_model = OpenAIEmbedding(
+        api_key=gapgpt_api_key,
+        api_base=GAPGPT_BASE_URL,
+        model="text-embedding-3-small" # یا هر مدلی که سرویس شما پشتیبانی می‌کند
+    )
+
+    # اعمال تنظیمات سراسری
+    Settings.llm = llm
+    Settings.embed_model = embed_model  # <--- این خط جلوی خطای فعلی را می‌گیرد
+
+    Settings.prompt_helper = PromptHelper(
+        context_window=4096,
+        num_output=256,
+        chunk_overlap_ratio=20 / 4096,
+        tokenizer=tokenizer,
+    )
+
+    # توجه: مطمئن شوید متغیر api_keys در اینجا تعریف شده باشد یا از args خوانده شود
+    # اگر api_keys در کد شما تعریف نشده، احتمالاً باید آن را بارگذاری کنید یا اگر استفاده نمی‌شود حذف کنید.
+    # فرض بر این است که api_keys قبلاً در کد شما تعریف شده است:
+    if 'api_keys' not in locals():
+        api_keys = {} # یا هر مقداری که کد شما انتظار دارد
+
+    demo = create_gradio_interface(Settings, api_keys)
+    demo.launch(
+        server_name="127.0.0.1",
+        server_port=7860,
+        share=True
+    )
+
+
+if __name__ == "__main__":
+    signal.signal(signal.SIGINT, signal_handler)
+    main()

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Wanjun Zhong
+Copyright (c) 2025 Keyvan Rezazadeh
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,139 @@
+---
+title: Emma Assistant
+emoji: 🤖
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.9.1
+app_file: app.py
+pinned: false
+---
+
+# EMMA — Empathetic Memory-Augmented Multi-layer Assistant  
+*(Research Prototype)*
+
+**Empathetic, privacy-aware memory for psychologically informed conversational agents.**
+
+This repository provides a reference implementation of a mobile-friendly, memory-augmented artificial intelligence assistant inspired by the **EMMA architecture**. The system integrates **session**, **episodic**, and **semantic** memory layers, dynamic query classification, **LlamaIndex-based retrieval**, and a **Gradio** demonstration interface. The codebase includes implementation logic, data processing scripts, memory indexing and retrieval components, query classification, and evaluation tooling used in the research prototype.
+
+> ⚠️ **Research prototype — not a clinical tool.**  
+> This system is intended solely for research, experimentation, and controlled simulations. It must not be used for clinical diagnosis or treatment. See **Limitations & Safety** below.
+
+---
+
+## Table of Contents
+- [EMMA — Empathetic Memory-Augmented Multi-layer Assistant](#emma--empathetic-memory-augmented-multi-layer-assistant)
+  - [Table of Contents](#table-of-contents)
+  - [Key Features](#key-features)
+  - [Architecture (High Level)](#architecture-high-level)
+  - [Personalized Response Generation Workflow](#personalized-response-generation-workflow)
+    - [Step 1 – User Query](#step-1--user-query)
+    - [Step 2 – Query Classification](#step-2--query-classification)
+    - [Step 3 – Memory Routing](#step-3--memory-routing)
+    - [Step 4 – Memory Retrieval](#step-4--memory-retrieval)
+    - [Step 5 – Prompt Composition](#step-5--prompt-composition)
+    - [Step 6 – Response Generation](#step-6--response-generation)
+  - [Evaluation \& Metrics](#evaluation--metrics)
+    - [Reproducibility](#reproducibility)
+  - [Limitations \& Safety](#limitations--safety)
+
+
+---
+
+## Key Features
+
+- **Three-tier memory architecture**:  
+  Session memory (raw conversational transcripts), episodic memory (session summaries), and semantic memory (long-term traits and values).
+
+- **Dynamic query classifier**:  
+  Routes user queries to *Episodic*, *Semantic*, *Hybrid*, or *Unrelated* processing pipelines.
+
+- **Privacy-aware retrieval**:  
+  Uses **LlamaIndex** and vector-based indexing for efficient local semantic search.
+
+- **Therapy-aligned prompt templates**:  
+  Combines retrieved memory with therapist-inspired prompt scaffolding to ensure emotional alignment.
+
+- **Gradio-based demo interface**:  
+  Lightweight chat UI with access to memory summaries and session history.
+
+- **Evaluation tooling**:  
+  Scripts supporting quantitative memory retrieval accuracy and qualitative Likert-scale evaluation pipelines.
+
+
+
+---
+
+## Architecture (High Level)
+
+- **Indexing**: Episodic and semantic memory items are embedded and stored in vector indexes.
+- **Routing**: A classifier determines which memory layer(s) should be queried. Hybrid queries may combine episodic and semantic retrieval.
+- **Prompting**: Retrieved memory is merged into therapy-aware prompt templates prior to LLM invocation.
+
+---
+
+## Personalized Response Generation Workflow
+
+The figure illustrates the end-to-end workflow used by **EMMA** for generating personalized and psychologically informed responses. The pipeline consists of six sequential stages:
+
+![Personalized Response Generation Workflow](assets/emma_workflow.jpg)
+
+### Step 1 – User Query
+The interaction begins when the user submits a query, which may express a psychological concern, emotional state, or a general question.
+
+### Step 2 – Query Classification
+The user query, combined with a task-specific prompt, is passed to a language model (e.g., GPT-3.5) acting as a query recognition mechanism. The query is classified into one of the following categories:
+
+- **Episodic**: Past experiences or events  
+- **Semantic**: Stable traits, preferences, or beliefs  
+- **Hybrid**: Requires both episodic and semantic context  
+- **Unrelated**: No memory retrieval required
+
+### Step 3 – Memory Routing
+Based on the predicted memory type, the system determines which memory layer(s) should be accessed and forwards the query together with the memory label to the retrieval module.
+
+### Step 4 – Memory Retrieval
+EMMA leverages **LlamaIndex** to retrieve relevant memory chunks from its structured memory store, which includes:
+
+- **Session memory** (short-term conversational context)
+- **Episodic memory** (summarized past interactions)
+- **Semantic memory** (long-term psychological attributes and behavioral patterns)
+
+### Step 5 – Prompt Composition
+Retrieved memory content is merged with the user query using task-specific prompt templates designed to preserve emotional tone, maintain psychological coherence, and align responses with empathic counseling principles.
+
+### Step 6 – Response Generation
+The composed prompt is forwarded to the language model (e.g., GPT-3.5), which generates a personalized, memory-informed, and emotionally aligned response.  
+Optionally, a post-processing module may refine tone and safety to ensure therapeutic appropriateness.
+
+**Privacy Note:**  
+Since psychologically relevant information is abstracted into episodic and semantic memory, raw session transcripts can be periodically discarded. This reduces storage overhead while enhancing user privacy and data security.
+
+---
+
+## Evaluation & Metrics
+
+The original prototype evaluation included:
+
+- **Qualitative evaluation**:  
+  90 prompts rated on a 5-point Likert scale across *Personalization*, *Continuity*, and *Empathy* dimensions.
+
+- **Quantitative evaluation**:  
+  Memory retrieval accuracy computed as the normalized mean of 5-point Likert scores.
+
+- **Automatic metrics**:  
+  Automated rubric-based assessment using a stronger LLM evaluator.
+
+### Reproducibility
+Evaluation can be reproduced by preparing:
+- A test set of prompts linked to memory entries.
+- Scripts comparing generated responses with ground-truth memory and computing Likert-aligned scores.
+
+---
+
+## Limitations & Safety
+
+- This system is **not a clinical or diagnostic tool** and must not replace licensed mental health professionals.
+- Automated evaluators and LLM judgments may be noisy or biased; safety-critical use cases require clinician oversight and human-in-the-loop validation.
+- The system may occasionally hallucinate memory-grounded facts; retrieval traces should always be logged for auditing and debugging.
+- See the associated paper for a detailed discussion of limitations and evaluation methodology.

api_key_list.txt

@@ -0,0 +1 @@
+sk-jOn337n0y1yYP7kWTQVFRzuCsvfXlA5Y56kUDkRaQeoqhORC

memories/memory_index/llamaindex/Ali/episodic_memory/default__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {"5d4fd945-e8f7-49f2-87e6-53b5f0d63ee8": [-0.04761578515172005, -0.018785687163472176, 0.03853774443268776, -0.035345789045095444, 0.03285664692521095, 0.04058762639760971, 0.007833470590412617, 0.020513441413640976, 0.04322318360209465, 0.054146118462085724, 0.0367807038128376, -0.008792521432042122, -0.030279656872153282, -0.020762355998158455, 0.015051975846290588, 0.008075063116848469, -0.013412072323262691, 0.025725994259119034, -0.03590218350291252, 0.05733807384967804, 0.02049880102276802, -0.007284394931048155, -0.003060178132727742, -0.00931963324546814, -0.0427546389400959, -0.01477377861738205, -0.0029027764685451984, 0.02445214055478573, 0.013463319279253483, -0.007134314626455307, 0.02011810801923275, -0.02392502874135971, -0.02011810801923275, 0.005110058002173901, -0.017467906698584557, 0.022797593846917152, -0.010644733905792236, -0.017306843772530556, -0.02606276050209999, -0.011706279590725899, 0.02272438444197178, -0.025140315294265747, 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memories/memory_index/llamaindex/Ali/episodic_memory/docstore.json

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memories/memory_index/llamaindex/Ali/episodic_memory/graph_store.json

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memories/memory_index/llamaindex/Ali/episodic_memory/image__vector_store.json

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memories/memory_index/llamaindex/Ali/episodic_memory/index_store.json

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memories/memory_index/llamaindex/Ali/semantic_memory/default__vector_store.json

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memories/memory_index/llamaindex/Ali/semantic_memory/docstore.json

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+{"docstore/metadata": {"005d9296-e5bb-4ecc-9a3e-ea7ad9d8ecbf": {"doc_hash": "5c44dcc0fe4de4b28d808670cbcff2cdb195485c1964374fedb2a4d83dfbd94d"}, "f49d6563-b3c1-4fcf-a68f-e01857b074af": {"doc_hash": "b5a61eefb6b0aed438129eb31d886ddee37be36193abf7517d143739388477fe", "ref_doc_id": "005d9296-e5bb-4ecc-9a3e-ea7ad9d8ecbf"}}, "docstore/ref_doc_info": {"005d9296-e5bb-4ecc-9a3e-ea7ad9d8ecbf": {"node_ids": ["f49d6563-b3c1-4fcf-a68f-e01857b074af"], "metadata": {}}}, "docstore/data": {"f49d6563-b3c1-4fcf-a68f-e01857b074af": {"__data__": {"id_": "f49d6563-b3c1-4fcf-a68f-e01857b074af", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "005d9296-e5bb-4ecc-9a3e-ea7ad9d8ecbf", "node_type": "4", "metadata": {}, "hash": "5c44dcc0fe4de4b28d808670cbcff2cdb195485c1964374fedb2a4d83dfbd94d", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Long-term personality traits and facts:", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 39, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}}}

memories/memory_index/llamaindex/Ali/semantic_memory/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

memories/memory_index/llamaindex/Ali/semantic_memory/image__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}

memories/memory_index/llamaindex/Ali/semantic_memory/index_store.json

@@ -0,0 +1 @@
+{"index_store/data": {"40871d35-953b-49a8-8ed8-5d58c3bdf9ff": {"__type__": "vector_store", "__data__": "{\"index_id\": \"40871d35-953b-49a8-8ed8-5d58c3bdf9ff\", \"summary\": null, \"nodes_dict\": {\"f49d6563-b3c1-4fcf-a68f-e01857b074af\": \"f49d6563-b3c1-4fcf-a68f-e01857b074af\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}

memories/memory_index/llamaindex/Ali/sessions/docstore.json

@@ -0,0 +1 @@
+{"docstore/metadata": {"4ce0b4ac-9b6b-4588-8265-47f9fc6d789b": {"doc_hash": "cef5b22bb46707cb6d3ee0aa25195cf18d0377ce5e1991a0d208eb88a64e11bf"}, "6e602d3c-6ede-4642-bf44-8a4251634e95": {"doc_hash": "5d719debeb59d915ed79d557893e0e32df4198c92a2ed642f849e3c0457503d8"}, "365684c4-6779-43f8-9bbe-2de2f735a840": {"doc_hash": "c7ecb1af3ac814ba17d8f82d90e51b5234cc060d9d4e8ff26cbfbd9d9f67f8bc"}, "e9f6267e-a5a4-4c8c-9677-a054e5f662db": {"doc_hash": "e46b3652f03d66299a9455edcc792edc4c9d0f80e4f02ef0e5b5302a316484b7"}, "846ad0ee-0f52-4d78-9cab-5bc459c3539f": {"doc_hash": "f1924397cbff43f6d2e8a80641f53d3a2253364fb749009db912ce746ff0cc8c", "ref_doc_id": "4ce0b4ac-9b6b-4588-8265-47f9fc6d789b"}, "ca0c766c-24cb-4f2c-8faa-a26895000c38": {"doc_hash": "36cb78836218ae6419f354807d0b522b6401b1b958e2ca875b1dea9b3803e7d7", "ref_doc_id": "6e602d3c-6ede-4642-bf44-8a4251634e95"}, "e8e35c3c-94dd-4317-98e5-3c0619040ba5": {"doc_hash": "dcac2713edf67dacde32db2e8ec02906cf6ca846d4e634e1399cb2809c00a080", "ref_doc_id": "365684c4-6779-43f8-9bbe-2de2f735a840"}, "325fd09e-3db8-4ed5-a9a4-d4e34793d969": {"doc_hash": "f9ae2ec23c272c9b8f1c4839838caff56447c4acca69a69aa71925fbad01c37a", "ref_doc_id": "e9f6267e-a5a4-4c8c-9677-a054e5f662db"}}, "docstore/ref_doc_info": {"4ce0b4ac-9b6b-4588-8265-47f9fc6d789b": {"node_ids": ["846ad0ee-0f52-4d78-9cab-5bc459c3539f"], "metadata": {}}, "6e602d3c-6ede-4642-bf44-8a4251634e95": {"node_ids": ["ca0c766c-24cb-4f2c-8faa-a26895000c38"], "metadata": {}}, "365684c4-6779-43f8-9bbe-2de2f735a840": {"node_ids": ["e8e35c3c-94dd-4317-98e5-3c0619040ba5"], "metadata": {}}, "e9f6267e-a5a4-4c8c-9677-a054e5f662db": {"node_ids": ["325fd09e-3db8-4ed5-a9a4-d4e34793d969"], "metadata": {}}}, "docstore/data": {"846ad0ee-0f52-4d78-9cab-5bc459c3539f": {"__data__": {"id_": "846ad0ee-0f52-4d78-9cab-5bc459c3539f", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "4ce0b4ac-9b6b-4588-8265-47f9fc6d789b", "node_type": "4", "metadata": {}, "hash": "cef5b22bb46707cb6d3ee0aa25195cf18d0377ce5e1991a0d208eb88a64e11bf", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-12-16:\n\nAli: Hi\nAI: Hey there, Ali! It's so nice to hear from you. How are you feeling today?\nAli: Hi\nAI: Hey there, Ali! It's so nice to hear from you. How are you feeling today?\nAli: Hi\nAI: Hi again, Ali! \ud83d\ude0a I\u2019m here for you. What\u2019s on your mind?\nAli: Hello\nAI: Hey there, Ali! \ud83d\ude0a How are you feeling today?\nAli: Hi\nAI: Hey, Ali! \ud83d\ude0a How are you feeling today? I'm here to chat with you, listen, or help out with anything on your mind. What's up? \ud83c\udf1f\nAli: Hi\nAI: Hi, Ali! \ud83d\ude0a How are you doing today? What's on your mind?\nAli: Hi\nAI: Hey there, Ali! \ud83d\ude0a How's your day going so far?\nAli: Hi\nAI: Hey there, Ali! \ud83d\ude0a How are you feeling today?\nAli: Hello\nAI: Hey there, Ali! \ud83d\ude0a How are you feeling today? I'm here to listen, chat, and just be the friend you need. What's on your mind?\nAli: Hello\nAI: Hello, Ali! \ud83d\ude0a How are you feeling today? It's so nice to hear from you!", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 874, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "ca0c766c-24cb-4f2c-8faa-a26895000c38": {"__data__": {"id_": "ca0c766c-24cb-4f2c-8faa-a26895000c38", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "6e602d3c-6ede-4642-bf44-8a4251634e95", "node_type": "4", "metadata": {}, "hash": "5d719debeb59d915ed79d557893e0e32df4198c92a2ed642f849e3c0457503d8", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-12-19:\n\nAli: hello\nAI: Hello, Ali! It's lovely to hear from you. How are you feeling today? \ud83d\ude0a\nAli: hello\nAI: Hello, Ali! \ud83d\ude0a How are you doing today? What's on your mind? I'm here for you! \ud83c\udf1f", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 204, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "e8e35c3c-94dd-4317-98e5-3c0619040ba5": {"__data__": {"id_": "e8e35c3c-94dd-4317-98e5-3c0619040ba5", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "365684c4-6779-43f8-9bbe-2de2f735a840", "node_type": "4", "metadata": {}, "hash": "c7ecb1af3ac814ba17d8f82d90e51b5234cc060d9d4e8ff26cbfbd9d9f67f8bc", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-12-19:\n\nAli: hello\nAI: Hi there, Ali! \ud83d\ude0a How are you feeling today? I'm here for you\u2014whether you just want to chat or need someone to listen.\nAli: hello\nAI: Hi there, Ali! \ud83d\ude0a How are you feeling today?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 215, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "325fd09e-3db8-4ed5-a9a4-d4e34793d969": {"__data__": {"id_": "325fd09e-3db8-4ed5-a9a4-d4e34793d969", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "e9f6267e-a5a4-4c8c-9677-a054e5f662db", "node_type": "4", "metadata": {}, "hash": "e46b3652f03d66299a9455edcc792edc4c9d0f80e4f02ef0e5b5302a316484b7", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-12-19:\n\nAli: hello\nAI: Hi, Ali! \ud83d\ude0a How are you feeling today?\nAli: Hello\nAI: Hi, Ali! \ud83d\ude0a How are you feeling today? What's on your mind?\nAli: Hello\nAI: Hey there, Ali! \ud83d\ude0a How\u2019s it going?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 199, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}}}

memories/memory_index/llamaindex/Ali/sessions/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

memories/memory_index/llamaindex/Ali/sessions/image__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}

memories/memory_index/llamaindex/Ali/sessions/index_store.json

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+{"index_store/data": {"26610943-9b89-4caf-80d2-8f2176ae2943": {"__type__": "vector_store", "__data__": "{\"index_id\": \"26610943-9b89-4caf-80d2-8f2176ae2943\", \"summary\": null, \"nodes_dict\": {\"846ad0ee-0f52-4d78-9cab-5bc459c3539f\": \"846ad0ee-0f52-4d78-9cab-5bc459c3539f\", \"ca0c766c-24cb-4f2c-8faa-a26895000c38\": \"ca0c766c-24cb-4f2c-8faa-a26895000c38\", \"e8e35c3c-94dd-4317-98e5-3c0619040ba5\": \"e8e35c3c-94dd-4317-98e5-3c0619040ba5\", \"325fd09e-3db8-4ed5-a9a4-d4e34793d969\": \"325fd09e-3db8-4ed5-a9a4-d4e34793d969\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}

memories/memory_index/llamaindex/Alvin/episodic_memory_index.json

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+{"index_struct": {"__type__": "simple_dict", "__data__": {"index_id": "cb8628e9-ded9-4b26-93d8-5824e5c7e5cd", "summary": null, "nodes_dict": {"e195aaae-9a7b-42d2-8161-d90180947028": "e195aaae-9a7b-42d2-8161-d90180947028"}, "doc_id_dict": {"a2669a2e-135e-4429-b049-1546d6e96212": ["e195aaae-9a7b-42d2-8161-d90180947028"]}, "embeddings_dict": {}}}, "docstore": {"__type__": "simple", "__data__": {"docs": {"e195aaae-9a7b-42d2-8161-d90180947028": {"text": "Recent experiences:\n- {'topics_discussed': ['Noncompliance', 'Tantrums', 'Household routine difficulties'], 'emotional_state': 'Stressed, overwhelmed', 'insights': 'Alvin shows strong oppositional behavior and tantrums when given instructions. His grandmother struggles with discipline and feels overwhelmed.', 'session_date': '2025-04-01', 'session_id': 0}\n- {'topics_discussed': ['Praise strategies', 'Bossy behavior', 'Special playtime'], 'emotional_state': 'Cautiously optimistic', 'insights': 'Grandmother started applying praise and special time techniques. Alvin still displays bossy behavior, but improvements are emerging.', 'session_date': '2025-04-08', 'session_id': 1}\n- {'topics_discussed': ['Bedtime routine', 'Positive reinforcement', 'Tantrum reduction'], 'emotional_state': 'Hopeful, encouraged', 'insights': 'Alvin showed reduced tantrums and responded positively to bedtime praise, indicating reinforcement strategies are working.', 'session_date': '2025-04-15', 'session_id': 2}\n- {'topics_discussed': ['Homework lapse', 'Child-initiated bonding', 'Motivational feedback'], 'emotional_state': 'Reflective, reassured', 'insights': 'Despite not completing homework, Alvin showed initiative in seeking special time, signaling growing attachment.', 'session_date': '2025-04-22', 'session_id': 3}\n- {'topics_discussed': ['Emotional bonding', 'Parenting confidence', 'Behavioral mastery'], 'emotional_state': 'Confident, connected', 'insights': 'Grandmother expresses strong confidence in managing Alvin\u2019s behavior. Their interactions are now affectionate and playful.', 'session_date': '2025-04-29', 'session_id': 4}\n", "doc_id": "e195aaae-9a7b-42d2-8161-d90180947028", "embedding": null, "doc_hash": "715bbdf5272c3167269457948c11c3369c009f6c7d083704bd0e6e703b733d6b", "extra_info": null, "node_info": {"start": 0, "end": 1632}, "relationships": {"1": "a2669a2e-135e-4429-b049-1546d6e96212"}, "__type__": "1"}}, "ref_doc_info": {"a2669a2e-135e-4429-b049-1546d6e96212": {"doc_hash": "715bbdf5272c3167269457948c11c3369c009f6c7d083704bd0e6e703b733d6b"}, "e195aaae-9a7b-42d2-8161-d90180947028": {"doc_hash": "715bbdf5272c3167269457948c11c3369c009f6c7d083704bd0e6e703b733d6b"}}}}, "vector_store": {"__type__": "simple", "__data__": {"simple_vector_store_data_dict": {"embedding_dict": {"e195aaae-9a7b-42d2-8161-d90180947028": [-0.0168546624481678, 0.009199090301990509, 0.015972653403878212, -0.021154461428523064, -0.020782364532351494, 0.027714412659406662, 0.016344750300049782, -0.010659919120371342, 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memories/memory_index/llamaindex/Alvin/semantic_memory_index.json

@@ -0,0 +1 @@
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memories/memory_index/llamaindex/Annie/episodic_memory_index.json

@@ -0,0 +1 @@
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Mornings remain a key trigger due to anticipatory anxiety.', 'session_date': '2025-04-04', 'session_id': 1}\n- {'topics_discussed': ['Breathing techniques', 'Muscle relaxation', 'Skill-building'], 'emotional_state': 'Cautiously optimistic', 'insights': 'She found breathing helpful and is learning to build coping skills proactively.', 'session_date': '2025-04-08', 'session_id': 2}\n- {'topics_discussed': ['Exposure', 'Independence', 'Routine mastery'], 'emotional_state': 'Confident, slightly anxious', 'insights': 'Annie is practicing independence and exposure, gaining confidence without relying on safety cues.', 'session_date': '2025-04-15', 'session_id': 3}\n- {'topics_discussed': ['Relapse', 'Emotional setbacks', 'Coping reflection'], 'emotional_state': 'Discouraged, reflective', 'insights': 'After a relapse, Annie felt like a failure but was able to reflect on missing coping strategies and committed to rebuilding progress.', 'session_date': '2025-04-20', 'session_id': 4}\n- 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memories/memory_index/llamaindex/Annie/semantic_memory_index.json

@@ -0,0 +1 @@
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memories/memory_index/llamaindex/Denise/episodic_memory/default__vector_store.json

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memories/memory_index/llamaindex/Denise/episodic_memory/docstore.json

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memories/memory_index/llamaindex/Denise/episodic_memory/graph_store.json

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memories/memory_index/llamaindex/Denise/episodic_memory/image__vector_store.json

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memories/memory_index/llamaindex/Denise/episodic_memory/index_store.json

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memories/memory_index/llamaindex/Denise/episodic_memory_index.json

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memories/memory_index/llamaindex/Denise/semantic_memory/default__vector_store.json

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memories/memory_index/llamaindex/Denise/semantic_memory/docstore.json

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memories/memory_index/llamaindex/Denise/semantic_memory/graph_store.json

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memories/memory_index/llamaindex/Denise/semantic_memory/image__vector_store.json

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memories/memory_index/llamaindex/Denise/semantic_memory/index_store.json

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memories/memory_index/llamaindex/Denise/semantic_memory_index.json

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"metadata": {}}, "0b4ab48f-09a3-414f-91e7-919196428b39": {"node_ids": ["d1b05669-d46d-41e9-a874-ef243d8f78f3"], "metadata": {}}}, "docstore/data": {"9a3e56b2-beda-433d-a970-33ff0b246e85": {"__data__": {"id_": "9a3e56b2-beda-433d-a970-33ff0b246e85", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "57096870-9760-4149-92d4-c5561a4ad5a3", "node_type": "4", "metadata": {}, "hash": "05d34328af9a60b3e3882ec0a97ec88d89ee1120079007fab726ff1dea2cc90b", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: What kind of thoughts go through your mind when you've had these sad feelings this past week?\nAI: Well, I guess I'm thinking what's the point of all this. My life is over. It's just not the same. I have thoughts like, 'What am I going to do? Sometimes I feel mad at him, you know, my husband. How could he leave me? Isn't that terrible of me? What's wrong with me? How can I be mad at him? He didn't want to die a horrible death. I should have done more. I should have made him go to the doctor when he first started getting headaches. Oh, what's the use?'\nDenise: It sounds like you are feeling quite bad right now. Is that right?\nAI: Yes.\nDenise: Keep telling me what's going through your mind right now?\nAI: I can't change anything. It's over. I don't know. It all seems so bleak and hopeless. What do I have to look forward to sickness and then death?\nDenise: So one of the thoughts is that you can't change things, and that it's not going to get any better?\nAI: Yes.\nDenise: And sometimes you believe that completely?\nAI: Yeah, I believe it, sometimes.\nDenise: Right now do you believe it?\nAI: I believe it\u2014yes.\nDenise: Right now you believe that you can't change things and it's not going to get better?\nAI: Well, there is a glimmer of hope, but it's mostly...\nDenise: Is there anything that you kind of look forward to in terms of your own life from here on?\nAI: Well, what I look forward to I enjoy seeing my kids, but they are so busy right now. My son is a lawyer and my daughter is in medical school. So, they are very busy. They don't have time to spend with me.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1606, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "83e760df-62c5-420d-9b9a-3c8d9e131388": {"__data__": {"id_": "83e760df-62c5-420d-9b9a-3c8d9e131388", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "11c5998f-f9de-46d5-a5bb-0b04ca2e7cca", "node_type": "4", "metadata": {}, "hash": "55dba489b100e94e3ada034c2715dc373c39f6129da1baefe101129208994a82", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: Now do you feel better when you stay in the house all day trying to shut everything out?\nAI: Sort of...\nDenise: What do you mean?\nAI: Well, I can watch TV all day and just lose myself in these silly shows. I feel better when I see other people and their problems on these shows. It makes me feel less lonely and like my problems aren't so bad.\nDenise: And so how much time do you spend doing that?\nAI: Now, lately? Most of the time. Staying inside and watching TV feels safe, sort of secure, everything like my loneliness, feels more distant.\nDenise: Now after you have spent some time like this, how do you feel about yourself?\nAI: Afterwards? I usually try not to pay much attention to how I'm feeling.\nDenise: But when you do, how do you feel?\nAI: I feel bad. I feel bad for wasting the day. I don't get to things that I need to take care of like my bills, like cleaning, like taking a shower. I usually end up feeling kind of pathetic and guilty.\nDenise: On the one hand you seem to feel soothed and on the other hand, afterwards, you're a bit critical of yourself?\nAI:", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1105, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "718a5fee-4cc2-42fb-878c-e45d01bded39": {"__data__": {"id_": "718a5fee-4cc2-42fb-878c-e45d01bded39", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "cc1329c2-45f3-40c1-b16d-707a2e6dbfb0", "node_type": "4", "metadata": {}, "hash": "8fda9b596f1f3d7f61c2c34db6b58ae0045200650c74469eddd3c486113eb006", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: What was going through your mind when you said, 'This is my last hope'? Did you have some kind of vision in your mind?\nAI: Yeah, that if this doesn't work, I feel like I couldn't take living like this the rest of my life.\nDenise: If it doesn't work out, then what?\nAI: Well, I don't really care what happens to me...\nDenise: Did you have something more concrete in mind?\nAI: Well, right this minute I don't think I could commit suicide, but if I keep feeling this way for a long time, maybe I could. I don't know, though\u2014I've thought about suicide before, but I have never really thought about how I would do it. I know certain things stop me, like my kids. I think it would really hurt them and some other people too, like my mother. My mom is in good health now, but she may need me some day. Yeah, those are the two things that stop me, my children and my mother.\nDenise: Now those are the reasons for not committing suicide. Now what are some of the reasons why you might want to, do you think?\nAI: Because sometimes it just feels so empty and hopeless. There's nothing to look forward to\u2014every day is the same. My life is such a waste, so why not just end it?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1196, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "d1205a27-8f18-44f5-9e77-112e7952a2ff": {"__data__": {"id_": "d1205a27-8f18-44f5-9e77-112e7952a2ff", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "a8c8a99f-436a-4085-90c5-d7be9049a37e", "node_type": "4", "metadata": {}, "hash": "381a319f4a84f27f7137917691c95cceda96eddc0574546a96338cbb7785953d", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "d7c8ed66-d6bf-4864-8be1-9c4f3e69da0a", "node_type": "1", "metadata": {}, "hash": "1cf68b510ad2265afbdbe170b0f280c0e2461605769fec1d5b0fd228681dd0d7", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: Now are there any small things that you could do that would affect your life right away?\nAI: I don't know. Well, I guess just calling my friend Diane in Florida. She called about a month ago and then again last week. Both times I told her I was busy and would call her back, but I haven't. I've felt so down. I have nothing to say to her.\nDenise: Well, when she lived in the area, what kinds of things did you talk about?\nAI: We have kids about the same age, so we would talk about our kids. We both like to read and we used to go to a book club together\u2014so we would talk about the books we were reading. Both of us liked art. We used to attend lectures at the museum during the week, so we would talk about art and the lectures. We would spend time making plans to do things together in our free time. It always was very interesting when I spent time and with her. We had so much in common. I do miss her.\nDenise: It sounds like you used to be involved in a number of interesting activities. What about now?\nAI: After my husband got sick and then my friends moved, I just stopped. I haven't done any of those things in quite a while.\nDenise: What do you think about attending a lecture series now?\nAI: I don't know.\nDenise: Well, what do you think about that idea?\nAI: It's an OK idea, but it just seems like too much. I don't think I'll enjoy it the way I feel I don't know.\nDenise: Would you be willing to test out that thought that you won't be able to enjoy it now?\nAI: I don't know I guess so.\nDenise: Is that a 'yes'?\nAI: Yes, but I don't see how I'm going to get myself to do it.\nDenise: Well, how would you go about finding out about a lecture series?\nAI: You look online at the museum's website to see what's available.\nDenise: OK. Do you have a computer?\nAI: Yes.\nDenise: Is it working?\nAI: Yes.\nDenise: How do you feel about doing that?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1880, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "d7c8ed66-d6bf-4864-8be1-9c4f3e69da0a": {"__data__": {"id_": "d7c8ed66-d6bf-4864-8be1-9c4f3e69da0a", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "a8c8a99f-436a-4085-90c5-d7be9049a37e", "node_type": "4", "metadata": {}, "hash": "381a319f4a84f27f7137917691c95cceda96eddc0574546a96338cbb7785953d", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "d1205a27-8f18-44f5-9e77-112e7952a2ff", "node_type": "1", "metadata": {}, "hash": "081eb502e52229f9229c2b953e6f55e6c06f2664249b5225063f4bb15f509645", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "AI: Yes.\nDenise: How do you feel about doing that?\nAI: I guess I could do that I'm so pathetic, I know what to do. I don't need you to spell it out for me. Why didn't I just do this before?\nDenise: Well, you probably had good reasons for not doing it before. Probably you were just so caught up in the hopelessness.\nAI: I guess so.\nDenise: When you are hopeless you tend to deny, as it were, or cut off possible options or solutions.\nAI: Right.\nDenise: When you get caught up in hopelessness then, there is nothing you can do. Is that what you think?\nAI: Yeah.\nDenise: So, then, rather than be down on yourself because you haven't looked this up online before, why don't we carry you right through?\nAI:", "mimetype": "text/plain", "start_char_idx": 1830, "end_char_idx": 2532, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "e21d34bd-3a2c-4588-b0bd-d0e83d8079cb": {"__data__": {"id_": "e21d34bd-3a2c-4588-b0bd-d0e83d8079cb", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "1354930a-7b7e-4236-97ca-c43d896603cb", "node_type": "4", "metadata": {}, "hash": "eae1cd5e15c4fb17f483a5a5d289e9e93f9033c285ffda98244ebefcc401011b", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: Taking this step is going to be hard for me.\nAI: That's very true.\nDenise: First steps are harder for everybody, but that's why there is an old expression: 'A journey of a thousand miles starts with the first step.'\nAI: Well, yeah, I can see that. I guess I was thinking every step was just as hard as the first. Maybe it will get easier.\nDenise: It's the first step that is so very important, and then you can ready yourself for the second step, and then the third step, and so on. Eventually, you build up some momentum, and each step begins to follow more naturally. But first, all you have to do is take one small step. You don't have to take giant steps.\nAI:", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 695, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "56f36245-df8f-4a62-8daa-9226b6ccc3c4": {"__data__": {"id_": "56f36245-df8f-4a62-8daa-9226b6ccc3c4", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "44cb45e1-6d53-435d-8e74-b29f464e27c2", "node_type": "4", "metadata": {}, "hash": "1122f6eecca0315131d79da244b1bb37ed7b95589000fed381a3cdabd0737f69", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-01:\n\nDenise: Do you have any reactions?\nAI: I'm still feeling down, but I'm also feeling a little better. It's interesting that just the idea of looking at what lecture's might be available is making me feel a little lighter. I even had the thought of calling Diane to talk over the options. Is this a sign of better things to come?\nDenise: What do you think?\nAI: Maybe.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 389, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "270d0332-094c-4e47-a253-381a7fae8a2a": {"__data__": {"id_": "270d0332-094c-4e47-a253-381a7fae8a2a", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "7c826727-27e2-42de-967c-2c089d05e32a", "node_type": "4", "metadata": {}, "hash": "365f6bbd211f076fe01fe30e81173b643456dc40a23330eba315c75e2df0dbfe", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: I'm really glad you're telling me these thoughts. Let me start by asking you who is having these negative thoughts?\nAI: You? Well, no. Actually, it's me.\nDenise: Right. Do you think that someone like me might have another reaction to what you said?\nAI: I don't know. I mean it is pretty harsh being angry at someone who had no control over what was happening.\nDenise: Do you think that someone might react to your statements with empathy?\nAI: How could they?\nDenise: I imagine it would be very upsetting and annoying to have lost both your husband and your friends\u2014all around the same time. Even though you love and care about all of them, feeling angry is understandable. It sounds like a basic human reaction to some very difficult life events.\nAI: Yeah, I guess that does make sense. Thanks.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 826, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "0f95d9a8-3f3f-4179-9668-a89f424232ea": {"__data__": {"id_": "0f95d9a8-3f3f-4179-9668-a89f424232ea", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "31b35db2-f276-4342-ae29-f86a2cb83595", "node_type": "4", "metadata": {}, "hash": "c01523cb7c4e3857b88af18ca733c45c9c25b36d0e48f781c3c04a690122a9e6", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: When you said that you thought I would have a negative opinion about you and not want to work with you because you said you felt angry at your husband, it sounded as though you were really concerned that you would be harshly judged and punished for your statements.\nAI: Yes, that's right.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 320, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "4226e522-be01-4f47-bcd3-2ae211417b92": {"__data__": {"id_": "4226e522-be01-4f47-bcd3-2ae211417b92", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "65a5c4a2-7129-4ff0-ab31-2a42f6777767", "node_type": "4", "metadata": {}, "hash": "1ec4051de8e9b6e1c6eef9e2266996a7526f0a1ebc7857e3238ca5b92e13ebd1", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: So here, you largely have withdrawn from these important relationships and now you're feeling quite lonely. The thought of talking to these friends again brings fears that they will now be angry and punitive with you for your reaction to them. You're caught in a no-win situation. Is that right?\nAI: Yes, that sounds right.\nDenise: So one of the things that can really grab hold of you\u2014and make you feel terrible\u2014is this notion that people, including yourself, should behave in specific ways, and if they or you don't behave the 'right' way, then harsh punishment should result. Is that correct?\nAI: Yes, that sounds right. But hearing you say it makes me realize that it doesn't really sound right.\nDenise: What do you mean?\nAI: It's too extreme. It's too harsh. People are human and they have limitations and they make mistakes sometimes.\nDenise: It's good that you are starting to notice and evaluate these thoughts rather than just responding to them automatically. What this tells us is that you have to be alert for whenever you have the sense that either you or others should be strongly punished for not behaving in a specified way. The idea that people should not be cut a break, even under very difficult circumstances, may not work very well in real life with real people. You mentioned that both friends told you they felt terrible about leaving you at this time, and both have called you regularly since leaving the area. Do you think that if you begin to respond to and return their calls, they might react differently\u2014in the same way that I reacted differently from what you expected?\nAI: Yes, that is very likely.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1661, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "52ec3413-2d77-4233-ac91-8e5386a8d65b": {"__data__": {"id_": "52ec3413-2d77-4233-ac91-8e5386a8d65b", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "8977cbc1-1f1a-443e-85d5-7e5c8a5417ee", "node_type": "4", "metadata": {}, "hash": "496aae4be64d5f5c6967f92cb1551c2ceebabdeed9bc85568b305087dac8b23e", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: Now at this point, is there anything that we have discussed today that bothered you?\nAI: That bothered me?\nDenise: Yeah.\nAI: I feel like I'm a bit of a freak.\nDenise: That is important. Can you...\nAI: Well, I'm trying not to feel that way, but I do.\nDenise: Well, if you are, you are. Why don't you just let yourself feel like a freak and tell me about it?\nAI: Well, I'm feeling like I'm just so different from everyone else. Other people don't seem to have my problems. They're still happily married and carrying on with life. I just feel so different from everyone.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 599, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "b9a080a8-a0d8-47a9-aec1-e416c56aa057": {"__data__": {"id_": "b9a080a8-a0d8-47a9-aec1-e416c56aa057", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "7a8d21fd-01fc-456a-829b-76bd863c2450", "node_type": "4", "metadata": {}, "hash": "80b243eb8967d47f3eba55489015bf8a9c7301b096202e222ec7bee5870e57d4", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: What are you going to do with it right this minute?\nAI: I am going to say to myself, 'I'm not so different from other people. Other people have lost their mates. I'm not the only one. I'm just the first one in my group of friends. Eventually, they will all have the same situation as me. It's just a part of life.' Seeing you for help doesn't mean I'm a freak. You probably see lots of people and help them with problems like mine.\nDenise: Right.\nAI:", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 482, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "3dfd2c19-a7ca-4692-a3ef-0165628ec939": {"__data__": {"id_": "3dfd2c19-a7ca-4692-a3ef-0165628ec939", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "614fb538-5189-48c3-9364-302cb6c67668", "node_type": "4", "metadata": {}, "hash": "9463acb72d3764d44cdf5d0e2d5762dc7f10d1633a8a2b27e37f13a049458acb", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-08:\n\nDenise: OK, now let's just do an experiment and see if you yourself can respond to the automatic thought, and let's see what happens to your feeling. See if responding rationally makes you feel worse or better.\nAI: OK.\nDenise: OK. ' I'm so different from him.' What is the rational answer to that? A realistic answer?\nAI: You are wearing a wedding ring and that is different from me, because I'm alone, without a mate.\nDenise: Yes. And?\nAI: And? I don't really know much about you, other than you're married. I guess from what I do know, that information could also be viewed as a similarity. We both have gotten married and know what it's like to be married. I assume that you've never lost a mate, but maybe that is not true. You may have lost a mate as well.\nDenise: So, is it that you're different or that I'm different? Or is it that we just have different situations with respect to our mates at this point in time?\nAI: We just have different situations right now.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 994, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "95d91f31-3d79-4779-9c55-d1b0fefd5819": {"__data__": {"id_": "95d91f31-3d79-4779-9c55-d1b0fefd5819", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "3294f6ca-81cf-4906-8f77-ac2c9f2a3ee7", "node_type": "4", "metadata": {}, "hash": "0a703133279c588f53060238365a29ffccccebb735237fd1fafd7ce0308683c2", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-15:\n\nDenise: What holds you back?\nAI: I guess I believe that I have to be a bit removed and strict in relation to others or they'll just behave in whatever way they want. People have to know my rules and abide by them if they want to have a relationship with me.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 281, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "e643095f-5197-4346-a492-0c613aa60b85": {"__data__": {"id_": "e643095f-5197-4346-a492-0c613aa60b85", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "17620223-6a6f-423f-8301-c08e09c0b7b9", "node_type": "4", "metadata": {}, "hash": "31fbca75bb039f2dd55e7f6783d9ef773b04038ce9ac737b1e7096df459b1fa5", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "4d46ef47-e200-4243-a842-63ff854a2681", "node_type": "1", "metadata": {}, "hash": "dac6a29c1a6ae9f879293c637b0ae76b38213a6a5e853a0adec92717f1481972", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-15:\n\nDenise: Now, let's look at it. Do you think that thought is correct?\nAI: Well, yes, it's insulting.\nDenise: What's insulting?\nAI: She's putting her dog in a higher priority position.\nDenise: Have you ever had a pet?\nAI: No.\nDenise: Do you think that maybe Diane feels like her dog is a part of her family?\nAI: I never thought of it that way.\nDenise: If you look at the situation from that perspective, how do you feel?\nAI: I feel like I'm being a little insensitive. That's not right. I'm not allowing for any other perspective. I've never had a pet, so I don't really know what it's like to have a pet. It's not right for me to be so judgmental of Diane. I need to be more understanding. I wasn't very caring. I am actually behaving in a way that goes directly against my deepest values.\nDenise: So, according to your own values, was this right?\nAI: No, it's not right. I wasn't respecting her feelings. I was just demanding that she respect mine. That wasn't right.\nDenise: OK, now this is one of the problems. If you want to get over this sense that you should never give in or bend your rules for others, one of the things you can do is look for this thought, 'I'm right and you should have a negative consequence for your wrong decision'\u2014and refer back to this conversation we are having now and decide for yourself whether, indeed, you were right. Now, if every time you approach a conflict in a relationship and allow for the possibility that you might not fully understand, but really think underneath, 'But I know I'm right,' you are going to feel put out, and then you are not going to want to engage with that person. Is that right?\nAI: Yeah, that sounds right.\nDenise: So we have to decide here and now. Do you indeed think that you are right to suspend your initial negative judgment to leave open the possibility of reevaluating your reaction to her behavior?\nAI: Yes.\nDenise: Now, the next time you get the thought, 'I'm right and I'm going to make sure this other person knows it,' how are you going to answer that thought?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 2063, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "4d46ef47-e200-4243-a842-63ff854a2681": {"__data__": {"id_": "4d46ef47-e200-4243-a842-63ff854a2681", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "17620223-6a6f-423f-8301-c08e09c0b7b9", "node_type": "4", "metadata": {}, "hash": "31fbca75bb039f2dd55e7f6783d9ef773b04038ce9ac737b1e7096df459b1fa5", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "e643095f-5197-4346-a492-0c613aa60b85", "node_type": "1", "metadata": {}, "hash": "c439116eb95a2fbe6aa8e65cc0a7bc83ab76a7eaadad986fabbfb1c95851cde1", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "AI: If I'm right? But I'm not necessarily right. I need to consider the other person's perspective. I need to try to understand them and then see if what I'm thinking fits.\nDenise: Now are you saying that because that is the correct answer, or because you really believe it?\nAI: No, I really believe it.", "mimetype": "text/plain", "start_char_idx": 2064, "end_char_idx": 2367, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "179df795-e4b0-4d58-8363-2ca27c7ffd26": {"__data__": {"id_": "179df795-e4b0-4d58-8363-2ca27c7ffd26", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "ab7cb47d-4b5d-4917-921d-e93e7607d5d3", "node_type": "4", "metadata": {}, "hash": "c2f52633e97272aa5b6d8ad0bc36e09896c626816faa95628a59942eb2f2be86", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-15:\n\nDenise: Now I am going to be like the prosecuting attorney, and I'll say, 'Now I understand you let your friend violate one of your rules of friendship. Is that true?'\nAI: Yes.\nDenise: 'Now it seems to me that that was a very bad thing for you to do.'\nAI: No, it wasn't.\nDenise: 'You don't think it was?'\nAI: No, I should try to understand her perspective.\nDenise: 'Well, you can sit there and say you should be more understanding, but I thought you said before that you wanted people to respect you.'\nAI: I do, but I also need to respect others.\nDenise: 'I know, but now you are saying that you are going to let her get away with this. What's next?'\nAI: What's next can only be a better understanding of one another. We'll feel closer.\nDenise: 'But how can you feel closer if she's not respecting your rules of friendship?'\nAI: Maybe my rules are not appropriate in this situation. I need to learn to be more understanding, flexible, and tolerant of some deviations from my rules.\nDenise: 'But then you'll lose control of the situation.'\nAI: No, that's an exaggeration. I don't need to control the whole situation. I can still decide what makes sense. I am still in control of what's important.\nDenise: 'How can that be?'\nAI: Because I can respect myself and respect my friend, as well. I don't have to turn everything into an either-or situation to try to make her see and do it my way. That just makes it difficult for her to get along with me, and I'll lose out on the relationship in the long run if I keep on insisting that she either do it my way or we do nothing.", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1595, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}, "d1b05669-d46d-41e9-a874-ef243d8f78f3": {"__data__": {"id_": "d1b05669-d46d-41e9-a874-ef243d8f78f3", "embedding": null, "metadata": {}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4ab48f-09a3-414f-91e7-919196428b39", "node_type": "4", "metadata": {}, "hash": "2d90381533b64a5a9dbfe8ed9b34a8873a22b50456da2750ca15f68263f3ec02", "class_name": "RelatedNodeInfo"}}, "metadata_template": "{key}: {value}", "metadata_separator": "\n", "text": "Session on 2025-04-15:\n\nDenise: If you're flexible, you'll lose control. Now do you believe that?\nAI: No.\nDenise: Do you believe it partially?\nAI: No. In fact, I'm more likely to lose control of any possibility of getting what I want if I'm so inflexible. It's like I lose sight of the importance of the relationship when I get so stuck on thinking that I have to be in control and that the other person has to do it my way.\nDenise: OK, so right now, how much do you believe that?\nAI: Completely.\nDenise: 100%?\nAI: Yes.\nDenise: You are sure 100%, not 90 or 80%?\nAI: No, 100%.\nDenise: We talked about my friend, Diane, in our first session. Can you accurately recall what activities we used to enjoy doing together, and what my current reason was for not calling her back?\nAI: In our previous sessions, you mentioned that you and Diane used to enjoy outdoor activities like hiking and exploring new places together. You also shared that you admired her spontaneity and adventurous spirit. Regarding your current reason for not calling her back, you expressed feeling overwhelmed by the demands of work and family obligations, making it challenging to find time for social activities. You also mentioned struggling with setting boundaries and feeling guilty when prioritizing your own needs over others'. This inner conflict may be contributing to the delay in reaching out to Diane.\nDenise: hello\nAI: Hey, Denise! It's so nice to hear from you. How's your day going so far? \ud83d\ude0a\nDenise: Hello\nAI: Hello, Denise! It's so lovely to hear from you. How are you feeling today?", "mimetype": "text/plain", "start_char_idx": 0, "end_char_idx": 1567, "metadata_seperator": "\n", "text_template": "{metadata_str}\n\n{content}", "class_name": "TextNode"}, "__type__": "1"}}}

memories/memory_index/llamaindex/Denise/sessions/graph_store.json

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memories/memory_index/llamaindex/Denise/sessions/image__vector_store.json

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memories/memory_index/llamaindex/Denise/sessions/index_store.json

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memories/memory_index/llamaindex/Janice/episodic_memory_index.json

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memories/memory_index/llamaindex/Janice/semantic_memory_index.json

@@ -0,0 +1 @@
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