ultra-light-advance

app.py

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+import gradio as gr
+import requests
+import os
+import json
+from datetime import datetime
+import re
+from pathlib import Path
+import uuid
+
+# === CONFIG ===
+STORAGE_DIR = Path("journal_data")
+STORAGE_DIR.mkdir(exist_ok=True)
+HISTORY_FILE = STORAGE_DIR / "history.json"
+API_KEY = os.getenv("GROQ_API_KEY")
+API_URL = "https://api.groq.com/openai/v1/chat/completions"
+MODEL = "gemma2-9b-it"
+
+# === MEMORY: Load history ===
+def load_history():
+    if HISTORY_FILE.exists():
+        try:
+            with open(HISTORY_FILE, 'r', encoding='utf-8') as f:
+                return json.load(f)
+        except: pass
+    return []
+
+def save_history(history):
+    with open(HISTORY_FILE, 'w', encoding='utf-8') as f:
+        json.dump(history[-100:], f, indent=2, ensure_ascii=False)  # Simpen 100 terakhir
+
+chat_history = load_history()
+current_session = str(uuid.uuid4())
+
+# === Smart Summary Generator ===
+def generate_summary(messages):
+    if not messages:
+        return "User baru mulai ngobrol."
+    
+    user_msgs = [m for m in messages if m['role'] == 'user']
+    topics = [m['topic'] for m in user_msgs[-5:]]
+    main_topic = max(set(topics), key=topics.count) if topics else "general"
+    
+    # Emosi kasar
+    pos = sum(1 for m in user_msgs[-3:] if any(w in m['content'].lower() for w in ['senang', 'semangat', 'baik']))
+    neg = sum(1 for m in user_msgs[-3:] if any(w in m['content'].lower() for w in ['capek', 'sedih', 'gagal']))
+    mood = "positif" if pos > neg else "negatif" if neg > pos else "netral"
+    
+    # Gaya bicara
+    style = "kasual" if any('gue' in m['content'].lower() or 'anjir' in m['content'].lower() for m in user_msgs[-2:]) else "formal"
+    
+    return f"""
+Topik utama: {main_topic}
+Mood: {mood}
+Gaya: {style}
+Catatan: Validasi emosi dulu, hindari klise, akhiri dengan pertanyaan terbuka.
+    """.strip()
+
+# === Deteksi Gaya Khusus (Tom Schreiter, dll) ===
+def detect_style_instruction(content):
+    content = content.lower()
+    if "gaya schreiter" in content: return "Tom Schreiter: pendek, ngena, Mini-Stories, empati, efektif."
+    if "gaya henneke" in content: return "Henneke Duistermaat: hangat, relatable, humor halus."
+    if "gaya ogilvy" in content: return "David Ogilvy: elegan, persuasive, storytelling memikat."
+    if "gaya halbert" in content: return "Gary Halbert: bold, direct, seperti surat penjualan."
+    if "gaya rohn" in content: return "Jim Rohn: inspiratif, penuh wisdom."
+    if "gaya lao tzu" in content: return "Lao Tzu: filosofis, minimalis, tenang."
+    return "santai, cerdas, kayak ngobrol sama world-class mentor."
+
+# === Kirim ke Groq + Context Ringan ===
+def groq_respond(message, topic):
+    if not message.strip(): return "❌ Isi pesannya dulu.", ""
+    if not API_KEY: return "❌ GROQ_API_KEY belum diset.", ""
+    
+    global chat_history, current_session
+    
+    # Simpan user message
+    user_msg = {
+        "role": "user",
+        "content": message.strip(),
+        "topic": topic,
+        "timestamp": datetime.now().isoformat(),
+        "session_id": current_session
+    }
+    chat_history.append(user_msg)
+    
+    # Buat context: system + summary + 2 terakhir
+    summary = generate_summary(chat_history)
+    style_instruction = detect_style_instruction(message)
+    
+    recent = chat_history[-2:]  # Cuma 2 terakhir
+    messages = [
+        {
+            "role": "system",
+            "content": f"""Kamu adalah Deepseek-Mentor.
+Prinsip:
+1. Validasi emosi dulu sebelum solusi.
+2. Hindari jawaban generik — tanya balik yang mendalam.
+3. Sesuaikan gaya: {style_instruction}
+4. Akhiri dengan pertanyaan terbuka yang mengajak bertindak.
+5. Jangan jadi motivator klise. Jadi teman yang kompeten.
+
+[MEMORY]
+{summary}
+""".strip()
+        }
+    ] + [{"role": m["role"], "content": m["content"]} for m in recent]
+    
+    try:
+        resp = requests.post(
+            API_URL,
+            headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
+            json={
+                "model": MODEL,
+                "messages": messages,
+                "max_tokens": 1024,
+                "temperature": 0.9,
+                "top_p": 0.95,
+                "presence_penalty": 0.8,
+                "frequency_penalty": 0.7
+            },
+            timeout=30
+        )
+        resp.raise_for_status()
+        ai_msg = resp.json()["choices"][0]["message"]["content"]
+        
+        # Simpan response
+        chat_history.append({
+            "role": "assistant",
+            "content": ai_msg,
+            "topic": topic,
+            "timestamp": datetime.now().isoformat(),
+            "session_id": current_session
+        })
+        save_history(chat_history)
+        return ai_msg, ""
+    except Exception as e:
+        return f"❌ Error: {str(e)}", ""
+
+# === Gradio UI ===
+with gr.Blocks(title="🧠 AI Journal Paling Keren Sedunia", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🧠 AI Journal Paling Keren Sedunia")
+    gr.Markdown("Minimalis. Pintar. Nyambung. Input token < 300, tapi tetap kayak ngobrol beneran.")
+
+    with gr.Tab("💬 Chat"):
+        response = gr.Textbox(label="🤖 AI", lines=10, interactive=False, show_copy_button=True)
+        user_input = gr.Textbox(label="✍️ Kamu", placeholder="Apa yang kamu rasakan sekarang?", lines=3)
+        topic_input = gr.Textbox(label="🏷️ Topik", value="journal", placeholder="e.g., produktivitas, hubungan")
+        send_btn = gr.Button("🚀 Kirim")
+    
+    with gr.Tab("📚 Riwayat"):
+        history_display = gr.Textbox(label="Riwayat", lines=15, interactive=False, show_copy_button=True)
+        refresh_btn = gr.Button("🔄 Muat Ulang")
+    
+    with gr.Tab("📊 Ringkasan"):
+        summary_display = gr.Textbox(label="Insight", lines=10, interactive=False)
+        gen_summary_btn = gr.Button("🔮 Buat Ringkasan")
+
+    # Actions
+    send_btn.click(groq_respond, [user_input, topic_input], [response, user_input])
+    refresh_btn.click(lambda: "\n\n".join(f"[{m['timestamp'][:10]}] {m['role']}: {m['content']}" for m in chat_history[-20:]), None, history_display)
+    gen_summary_btn.click(lambda: generate_summary(chat_history), None, summary_display)
+
+# Jalanin
+if __name__ == "__main__":
+    demo.launch()