| import streamlit as st |
| from g4f.client import Client |
| import sqlite3 |
| import pyperclip |
| import os |
|
|
| |
| GROQ_API_KEY = os.getenv("GROQ_API_KEY") |
| if not GROQ_API_KEY: |
| st.error("GROQ_API_KEY tidak ditemukan! Tambahkan di environment atau .env") |
| st.stop() |
|
|
|
|
| conn = sqlite3.connect('chat_history.db', check_same_thread=False) |
| c = conn.cursor() |
| c.execute('''CREATE TABLE IF NOT EXISTS chat_history |
| (conversation_id INTEGER, role TEXT, content TEXT)''') |
| conn.commit() |
|
|
| def local_css(file_name): |
| try: |
| with open(file_name) as f: |
| st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True) |
| except FileNotFoundError: |
| st.warning("style.css tidak ditemukan. Mengabaikan custom CSS.") |
|
|
| local_css("style.css") |
|
|
| |
| models = { |
| "🤖 Qwen 2.5 Coder (72B)": "qwen2.5-coder-32b", |
| "🚀 LLaMA 3.1 70B": "llama-3.1-70b-versatile", |
| "⚡ LLaMA 3.1 8B": "llama-3.1-8b-instant", |
| "🧠 Qwen 2.5 72B": "qwen2.5-72b-instruct", |
| "⚙️ Mixtral 8x7B": "mixtral-8x7b-32768", |
| } |
|
|
|
|
| client = Client( |
| provider="groq", |
| api_key=GROQ_API_KEY |
| ) |
|
|
|
|
| def main(): |
| st.set_page_config(page_title="DarkGPT", page_icon="🤖", initial_sidebar_state="expanded") |
|
|
| |
| if "chat_history" not in st.session_state: |
| st.session_state.chat_history = [] |
| if "conversation_id" not in st.session_state: |
| st.session_state.conversation_id = 1 |
|
|
| |
| col1, col2, col3 = st.columns([1, 1, 1]) |
| with col1: |
| st.header("DarkGPT") |
| with col3: |
| selected_model_name = st.selectbox("Pilih Model", list(models.keys()), index=0) |
| selected_model = models[selected_model_name] |
|
|
| |
| if st.sidebar.button("✨ New Chat"): |
| st.session_state.chat_history = [] |
| st.session_state.conversation_id += 1 |
| st.rerun() |
|
|
| |
| st.sidebar.write("### Chat History") |
| c.execute("SELECT DISTINCT conversation_id FROM chat_history ORDER BY conversation_id DESC") |
| for (conv_id,) in c.fetchall(): |
| c.execute("SELECT content FROM chat_history WHERE conversation_id = ? AND role = 'bot' LIMIT 1", (conv_id,)) |
| first_msg = c.fetchone() |
| if first_msg: |
| preview = " ".join(first_msg[0].split()[:6]) + "..." |
| if st.sidebar.button(preview, key=f"load_{conv_id}"): |
| load_conversation(conv_id) |
|
|
| |
| if st.sidebar.button("🗑️ Clear All History"): |
| c.execute("DELETE FROM chat_history") |
| conn.commit() |
| st.session_state.chat_history = [] |
| st.rerun() |
|
|
| |
| st.markdown("---") |
| if user_input := st.chat_input("Ketik pesan..."): |
| with st.chat_message("user"): |
| st.markdown(user_input) |
|
|
| |
| st.session_state.chat_history.append({"role": "user", "content": user_input}) |
|
|
| |
| with st.chat_message("assistant"): |
| with st.spinner("Thinking..."): |
| try: |
| response = client.chat.completions.create( |
| model=selected_model, |
| messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.chat_history], |
| temperature=0.7, |
| max_tokens=2048 |
| ) |
| bot_response = response.choices[0].message.content |
| st.markdown(bot_response) |
|
|
| |
| st.session_state.chat_history.append({"role": "assistant", "content": bot_response}) |
|
|
| |
| for msg in st.session_state.chat_history[-2:]: |
| c.execute( |
| "INSERT INTO chat_history VALUES (?, ?, ?)", |
| (st.session_state.conversation_id, msg["role"], msg["content"]) |
| ) |
| conn.commit() |
|
|
| except Exception as e: |
| st.error(f"Error: {str(e)}") |
|
|
|
|
| for msg in st.session_state.chat_history[:-2]: |
| with st.chat_message(msg["role"]): |
| st.markdown(msg["content"]) |
|
|
|
|
| def load_conversation(conv_id): |
| c.execute("SELECT role, content FROM chat_history WHERE conversation_id = ? ORDER BY rowid", (conv_id,)) |
| st.session_state.chat_history = [{"role": r, "content": c} for r, c in c.fetchall()] |
| st.session_state.conversation_id = conv_id |
| st.rerun() |
|
|
|
|
| if __name__ == "__main__": |
| main() |