Rename app.py to appFINAL.py

app.py → appFINAL.py

@@ -3,6 +3,27 @@ import tempfile
 import json
 import datetime
 import gradio as gr
+# ---------- MEMORY FILES ----------
+CHAT_FILE = "chat_history.json"
+EVENT_FILE = "event_memory.json"
+REPORT_FILE = "reports.json"
+
+# ---------- LOAD & SAVE ----------
+def load_json(file):
+    try:
+        with open(file, "r") as f:
+            return json.load(f)
+    except:
+        return []
+
+def save_json(file, data):
+    with open(file, "w") as f:
+        json.dump(data, f, indent=4)
+
+# Load memory
+chat_history = load_json(CHAT_FILE)
+event_memory = load_json(EVENT_FILE)
+reports = load_json(REPORT_FILE)
 
 # User data
 user_info = {"name": "", "age": "", "gender": "", "language": "english" , "Guardian_info": ""}
@@ -340,7 +361,42 @@ emotions = {
 "mental struggle" : "Write a small gratitude note.",
 "mind fatigue" : "Do light stretches or walk for 5 minutes."
 }
+import datetime
+
+def extract_event(user_text):
+    import random
+
+def get_emotional_response(emotion):
+    responses = {
+        "sad": ["I'm really sorry you're feeling this way 💙", "That sounds heavy… I'm here for you"],
+        "anxiety": ["That sounds stressful 🌿", "Let’s slow things down together"],
+        "angry": ["I can sense your frustration", "It’s okay to feel angry"],
+        "lonely": ["You’re not alone 🤍", "I’m here with you"]
+    }
+    return random.choice(responses.get(emotion, ["I understand."]))
+
 
+def humanize_reply(base_reply):
+    starters = ["I hear you.", "I’m really glad you shared that.", "I’m here with you."]
+    empathy = ["That must feel tough.", "I understand how that can feel."]
+    follow = ["Do you want to tell me more?", "I’m listening 💙"]
+
+    return f"{random.choice(starters)}\n{random.choice(empathy)}\n\n{base_reply}\n\n{random.choice(follow)}"
+    text = user_text.lower()
+    keywords = ["exam", "test", "fight", "friend", "family", "school", "stress"]
+
+    for word in keywords:
+        if word in text:
+            event = {
+                "event": user_text,
+                "keyword": word,
+                "time": str(datetime.datetime.now())
+            }
+            event_memory.append(event)
+            save_json(EVENT_FILE, event_memory)
+            return event
+    return None
+    
 # Functions
 def set_personal_info(name, age, gender, language, Guardian_info):
     user_info.update({"name": name, "age": age, "gender": gender, "language": language, "Guardian_info": Guardian_info,})
@@ -350,33 +406,80 @@ def show_personal_data():
     today = datetime.date.today().strftime("%Y-%m-%d (%A)")
     return f"📅 {today}\n👤 Name: {user_info['name']}\n🎂 Age: {user_info['age']}\n♀ Gender: {user_info['gender']}\n🌐 Language: {user_info['language']}\n Guardian_info: {user_info['Guardian_info']}"
 
-def generate_reply(input_text):
-    text = input_text.lower()
-    for word in harmful_keywords:
-        if word in text:
-            return harmful_response
-    for word, reply in emotions.items():
-        if word in text:
-            return reply
-    return "Tell me more about your day."
+def generate_report():
+    today = str(datetime.date.today())
+
+    emotions_seen = []
+    topics = []
+
+    for chat in chat_history[-20:]:
+        text = chat["user"].lower()
+
+        for word in emotions:
+            if word in text:
+                emotions_seen.append(word)
+
+        if "exam" in text:
+            topics.append("studies")
+        if "friend" in text:
+            topics.append("friends")
+        if "family" in text:
+            topics.append("family")
+
+    summary = f"🧠 Report - {today}\n\n"
+
+    if emotions_seen:
+        summary += f"💭 Emotions: {', '.join(set(emotions_seen))}\n"
+    else:
+        summary += "💭 Emotions: Stable\n"
+
+    if topics:
+        summary += f"📚 Focus: {topics[-1]}\n"
+
+    summary += "\n💡 Suggestion: Take care of your mental health 💙"
+
+    reports.append({"date": today, "report": summary})
+    save_json(REPORT_FILE, reports)
+
+    return summary
 
 def chat_function(audio_input, text_input):
     user_text = text_input.strip()
+
     if not user_text:
         return "Please type something.", None
+
+    # 🧠 Extract event
+    extract_event(user_text)
+
+    # 🧠 Generate reply
     reply = generate_reply(user_text)
-    chat_history.append({"user": user_text, "bot": reply})
+
+    # 💾 Save chat
+    chat_history.append({
+        "user": user_text,
+        "bot": reply,
+        "time": str(datetime.datetime.now())
+    })
+    save_json(CHAT_FILE, chat_history)
+
+    # 📊 Update report
+    generate_report()
+
+    # 🔊 Voice
     lang_code = lang_codes.get(user_info["language"], "en")
     tts = gTTS(reply, lang=lang_code)
+
     audio_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
     tts.save(audio_file.name)
+
     return reply, audio_file.name
 
 def get_chat_history():
     if not chat_history:
         return "No conversations yet."
     return "\n\n".join([f"You: {c['user']}\nBot: {c['bot']}" for c in chat_history])
-
+    
 def save_journal(entry):
     journal_entries.append(entry)
     with open("journal.json", "w") as f:
@@ -494,7 +597,20 @@ with gr.Blocks() as app:
 
         with gr.Tab("9️⃣ Pomodoro"):
             gr.Markdown("⏱️ Use 25 min study + 5 min break cycles.\n(For real timer, use front-end JavaScript or Android timers)")
+            
+with gr.Tab("📊 Daily Report"):
+    report_btn = gr.Button("Generate Report")
+    report_box = gr.Textbox(lines=10)
+
+    history_btn = gr.Button("View Past Reports")
+    history_box = gr.Textbox(lines=15)
+
+    report_btn.click(generate_report, outputs=report_box)
+
+    def show_reports():
+        return "\n\n---\n\n".join([r["report"] for r in reports])
 
+    history_btn.click(show_reports, outputs=history_box)
         with gr.Tab("💠 Games"):
             gr.Markdown("🎮 Play from the game portal below:")
             gr.HTML(