Update app.py

app.py

@@ -4,6 +4,12 @@ import time
 from oauth2client.service_account import ServiceAccountCredentials
 from llama_cpp import Llama
 from llama_index.core import VectorStoreIndex, Settings
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+from llama_index.llms.llama_cpp import LlamaCPP
+from huggingface_hub import hf_hub_download
+from llama_index.core.llms import ChatMessage
+from llama_index.core.chat_engine.condense_plus_context import CondensePlusContextChatEngine
 from llama_index.core.schema import Document
 
 # ===================================
@@ -19,6 +25,21 @@ def read_google_sheets():
     try:
         scope = ["https://www.googleapis.com/auth/spreadsheets", "https://www.googleapis.com/auth/drive"]
         creds = ServiceAccountCredentials.from_json_keyfile_name("credentials.json", scope)
+        client = gspread.authorize(creds)
+        
+        SPREADSHEET_ID = "1e_cNMhwF-QYpyYUpqQh-XCw-OdhWS6EuYsoBUsVtdNg"
+        sheet_names = ["datatarget", "datacuti", "dataabsen", "datalembur", "pkb"]
+
+        all_data = []
+        spreadsheet = client.open_by_key(SPREADSHEET_ID)
+        
+        for sheet_name in sheet_names:
+            try:
+                sheet = spreadsheet.worksheet(sheet_name)
+                data = sheet.get_all_values()
+                all_data.append(f"=== Data dari {sheet_name.upper()} ===")
+                all_data.extend([" | ".join(row) for row in data])
+                all_data.append("\n")
             except gspread.exceptions.WorksheetNotFound:
                 all_data.append(f"❌ ERROR: Worksheet {sheet_name} tidak ditemukan.")
 
@@ -27,6 +48,12 @@ def read_google_sheets():
     
     except gspread.exceptions.SpreadsheetNotFound:
         return "❌ ERROR: Spreadsheet tidak ditemukan!"
+    
+    except Exception as e:
+        return f"❌ ERROR: {str(e)}"
+
+# ===================================
+# 2️⃣ Inisialisasi Model Llama
 # ===================================
 def initialize_llama_model():
     model_path = hf_hub_download(
@@ -34,23 +61,24 @@ def initialize_llama_model():
         filename="zephyr-7b-beta.Q4_K_M.gguf",
         cache_dir="./models"
     )
+    return model_path
+
 # ===================================
 # 3️⃣ Inisialisasi Pengaturan Model
 # ===================================
-
 def initialize_settings(model_path):
     Settings.llm = LlamaCPP(
         model_path=model_path,
         temperature=0.7,
-        context_window=4096,
-        max_new_tokens=512,
-        # n_gpu_layers=20,  # ❌ Hapus jika error
-        model_kwargs={"n_ctx": 4096}
+        n_gpu_layers=20  # 🔥 Mempercepat inferensi dengan GPU jika tersedia
     )
 
-
 # ===================================
 # 4️⃣ Inisialisasi Index & Chat Engine
+# ===================================
+def initialize_index():
+    text_data = read_google_sheets()
+    document = Document(text=text_data)
     parser = SentenceSplitter(chunk_size=100, chunk_overlap=30)
     nodes = parser.get_nodes_from_documents([document])
     
@@ -68,6 +96,7 @@ def initialize_chat_engine(index):
     )
     return chat_engine
 
+# ===================================
 # 5️⃣ Fungsi untuk Merapikan Jawaban Chatbot
 # ===================================
 def clean_response(response):
@@ -76,6 +105,18 @@ def clean_response(response):
     text = text.replace("user:", "").replace("jawaban:", "").replace("assistant:", "").strip()
     return text
 
+# ===================================
+# 6️⃣ Fungsi untuk Menghasilkan Respons Chatbot
+# ===================================
+def generate_response(message, history, chat_engine):
+    if history is None:
+        history = []
+
+    chat_messages = [
+        ChatMessage(
+            role="system",
+            content=(
+                "Anda adalah chatbot HRD yang membantu karyawan memahami administrasi perusahaan. "
                 "Jangan menjawab menggunakan Bahasa Inggris. "
                 "Gunakan Bahasa Indonesia dengan gaya profesional dan ramah. "
                 "Jika informasi tidak tersedia dalam dokumen, katakan dengan sopan bahwa Anda tidak tahu. "
@@ -92,6 +133,8 @@ def clean_response(response):
     history.append((message, cleaned_text))
     return cleaned_text
 
+# ===================================
+# 7️⃣ Fungsi Utama untuk Menjalankan Aplikasi
 # ===================================
 def main():
     model_path = initialize_llama_model()