Update app.py

app.py

@@ -1,64 +1,117 @@
+# Import Library yang Diperlukan
+from llama_cpp import Llama
+from llama_index.core import SimpleDirectoryReader, VectorStoreIndex, Settings
+from llama_index.core.llms import ChatMessage
+from llama_index.llms.llama_cpp import LlamaCPP
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+from llama_index.core.node_parser import SentenceSplitter
 import gradio as gr
-from huggingface_hub import InferenceClient
+import os
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# Fungsi Inisialisasi Model Llama
+def initialize_llama_model():
+    return Llama(
+        model_path="zephyr-7b-beta.Q4_K_M.gguf",
+        n_gpu_layers=-1,  # Aktifkan untuk akselerasi GPU jika tersedia
+    )
 
+# Fungsi untuk Menginisialisasi Index
+def initialize_index():
+    # Tentukan dokumen input untuk pembacaan data
+    documents = SimpleDirectoryReader(input_files=[
+                                               "/content/cuti.txt",
+                                               "/content/disiplin kerja.txt",
+                                               "/content/fasilitas dan bantuan bagi serikat pekerja.txt",
+                                               "/content/fasilitas pekerja.txt",
+                                               "/content/hari dan jam kerja.txt",
+                                               "/content/hubungan pengusaha dan serikat pekerja.txt",
+                                               "/content/istilah-istilah.txt",
+                                               "/content/jaminan bagi serikat pekerja.txt",
+                                               "/content/jaminan kesehatan.txt",
+                                               "/content/jaminan sosial tenaga kerja.txt",
+                                               "/content/kenaikan upah.txt",
+                                               "/content/kerja lembur.txt",
+                                               "/content/kerja shift.txt",
+                                               "/content/keselamatan dan kesehatan kerja.txt",
+                                               "/content/kewajiban pihak-pihak.txt",
+                                               "/content/kompensasi dan pesangon.txt",
+                                               "/content/larangan.txt",
+                                               "/content/luas kesepakatan.txt",
+                                               "/content/masa berlaku, perubahan, dan perpanjangan pkb.txt",
+                                               "/content/mogok kerja.txt",
+                                               "/content/pelanggaran dan sanksi.txt",
+                                               "/content/pemutusan hubungan kerja.txt",
+                                               "/content/pendidikan.txt",
+                                               "/content/pengakuan hak.txt",
+                                               "/content/pengangkatan pegawai tetap.txt",
+                                               "/content/pengunduran diri.txt",
+                                               "/content/penilaian dan kenaikan jabatan.txt",
+                                               "/content/pensiun.txt",
+                                               "/content/penyelesaian keluh kesah.txt",
+                                               "/content/perhitungan upah lembur.txt",
+                                               "/content/perjalanan dinas.txt",
+                                               "/content/persyaratan menjadi pekerja.txt",
+                                               "/content/pesangon dan penghargaan masa kerja.txt",
+                                               "/content/pihak yang mengadakan perjanjian.txt",
+                                               "/content/sanksi.txt",
+                                               "/content/tata cara penyampaian pengaduan dan keluh kesah.txt",
+                                               "/content/tenaga kerja asing.txt",
+                                               "/content/tunjangan.txt",
+                                               "/content/uang pisah.txt",
+                                               "/content/upah.txt"]).load_data()
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    parser = SentenceSplitter(chunk_size=300, chunk_overlap=20)
+    nodes = parser.get_nodes_from_documents(documents)
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    embedding = HuggingFaceEmbedding("BAAI/bge-base-en-v1.5")
+    Settings.llm = initialize_llama_model()
+    Settings.embed_model = embedding
+    index = VectorStoreIndex(nodes)
 
-    messages.append({"role": "user", "content": message})
+    return index.as_query_engine(similarity_top_k=3)
 
-    response = ""
+# Inisialisasi Mesin Chat
+def initialize_chat_engine(index):
+    from llama_index.core.prompts import PromptTemplate
+    from llama_index.core.chat_engine.condense_plus_context import CondensePlusContextChatEngine
+    retriever = index.as_retriever(similarity_top_k=3)
+    chat_engine = CondensePlusContextChatEngine.from_defaults(
+        retriever=retriever,
+        verbose=True,
+    )
+    return chat_engine
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+# Fungsi Utama untuk Mendapatkan Respon Chatbot
+def generate_response(message, history, chat_engine):
+    response = chat_engine.stream_chat(message)
+    text = ""
+    for token in response.response_gen:
+        text += token
+        yield text
 
-        response += token
-        yield response
+# Fungsi untuk Menghapus Riwayat
+def clear_history(chat_engine):
+    chat_engine.reset()
 
+# Inisialisasi Komponen Gradio untuk UI
+def launch_gradio(chat_engine):
+    with gr.Blocks() as demo:
+        # Mengatur tombol untuk menghapus riwayat chat
+        clear_btn = gr.Button("Clear")
+        clear_btn.click(lambda: clear_history(chat_engine))
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+        # Membuat antarmuka chat
+        chat_interface = gr.ChatInterface(lambda message, history: generate_response(message, history, chat_engine))
+    
+    demo.launch()
 
+# Fungsi Utama untuk Menjalankan Aplikasi
+def main():
+    # Inisialisasi index dan engine
+    index = initialize_index()
+    chat_engine = initialize_chat_engine(index)
+    # Luncurkan antarmuka
+    launch_gradio(chat_engine)
 
 if __name__ == "__main__":
-    demo.launch()
+    main()