Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -10,146 +10,342 @@ import uuid
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st.set_page_config(
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page_title="Chat Flow π·",
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page_icon="π¬",
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initial_sidebar_state="collapsed"
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)
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# CSS
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st.markdown("""
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<style>
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.stApp {
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background:
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}
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.main .block-container {
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max-width:
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}
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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.stDeployButton {display: none;}
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.model-id {
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color: #
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font-family: monospace;
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}
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.model-attribution {
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color: #
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font-size: 0.8em;
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font-style: italic;
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}
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/*
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@media (max-width: 768px) {
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.stApp {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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}
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.main .block-container {
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max-width: 100%;
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padding: 0.5rem;
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}
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/* Make sidebar work better on mobile */
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.css-1d391kg {
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width: 100% !important;
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background: rgba(255, 255, 255, 0.95);
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backdrop-filter: blur(10px);
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}
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/* Mobile text sizing */
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.stMarkdown {
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font-size: 14px !important;
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color: #333 !important;
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}
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h1 {
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font-size:
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color: white;
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text-shadow: 2px 2px 4px rgba(0,0,0,0.3);
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text-align: center;
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}
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.stCaption {
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color: rgba(255, 255, 255, 0.8);
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text-align: center;
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}
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/* Mobile buttons */
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.stButton button {
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border-radius: 8px;
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font-size: 14px;
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}
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border-radius: 20px;
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backdrop-filter: blur(10px);
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}
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.stChatInput input {
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font-size: 16px; /* Prevents zoom on iOS */
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}
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color: white !important;
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border-radius: 10px !important;
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padding: 10px !important;
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margin: 5px 0 !important;
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}
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-
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}
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color: #333 !important;
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border-radius: 10px !important;
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padding: 10px !important;
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margin: 5px 0 !important;
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border: 1px solid #ddd !important;
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}
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}
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}
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/* Extra small screens
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@media (max-width: 480px) {
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}
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.stChatMessage {
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padding: 0.75rem;
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margin: 0.25rem 0;
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}
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.stChatMessage[data-testid="user-message"] {
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margin-left: 8%;
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}
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.stChatMessage[data-testid="assistant-message"] {
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margin-right: 8%;
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}
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h1 {
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font-size: 1.3rem !important;
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}
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padding: 0.4rem;
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}
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.
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}
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}
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</style>
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def get_user_id():
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"""Get unique ID for this user session"""
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if 'user_id' not in st.session_state:
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st.session_state.user_id = str(uuid.uuid4())[:8]
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return st.session_state.user_id
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def update_online_users():
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"""Update that this user is online right now"""
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try:
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# Load current online users
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users = {}
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if os.path.exists(USERS_FILE):
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with open(USERS_FILE, 'r') as f:
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users = json.load(f)
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# Add/update this user
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user_id = get_user_id()
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users[user_id] = {
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'last_seen': datetime.now().isoformat(),
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'name': f'User-{user_id}'
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}
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# Remove users not seen in last 5 minutes
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if current_time - last_seen < timedelta(minutes=5):
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active_users[uid] = data
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# Save updated list
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with open(USERS_FILE, 'w') as f:
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json.dump(active_users, f, indent=2)
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return len(active_users)
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except Exception:
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return 1
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def get_online_count():
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"""Get number of people currently online"""
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with open(USERS_FILE, 'r') as f:
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users = json.load(f)
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# Check who's still active (last 5 minutes)
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current_time = datetime.now()
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active_count = 0
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for data in users.values():
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {OPENROUTER_API_KEY}",
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"HTTP-Referer": "http://localhost:8501",
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"X-Title": "Streamlit AI Assistant"
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}
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# Create system message and user messages
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api_messages = [{"role": "system", "content": "You are a helpful AI assistant. Provide clear and helpful responses."}]
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api_messages.extend(messages)
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try:
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response = requests.post(url, headers=headers, json=data, stream=True, timeout=60)
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# Better error handling
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if response.status_code != 200:
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error_detail = ""
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try:
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return
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full_response = ""
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buffer = ""
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# Using your working streaming logic
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for line in response.iter_lines():
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if line:
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# The server sends lines starting with "data: ..."
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if line.startswith(b"data: "):
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data_str = line[len(b"data: "):].decode("utf-8")
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if data_str.strip() == "[DONE]":
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# Sidebar
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with st.sidebar:
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st.header("Settings")
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# API Status
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status = check_api_status()
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if status == "Connected":
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st.success("π’ API Connected")
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elif status == "No API Key":
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st.error("No API Key")
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else:
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st.warning("Connection Issue")
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st.divider()
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# Live Users Section
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st.header("π₯
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# Update that you're online
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online_count = update_online_users()
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# Show live count
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if online_count == 1:
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st.info("π’ Just you online")
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else:
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st.success(f"π’ {online_count} people online")
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# Show your session
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your_id = get_user_id()
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st.caption(f"You: User-{your_id}")
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if st.button("Refresh", use_container_width=True):
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st.rerun()
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# Debug
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with st.expander("π Debug Info"):
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if os.path.exists(USERS_FILE):
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with open(USERS_FILE, 'r') as f:
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st.divider()
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#
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models = [
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("GPT-3.5 Turbo", "openai/gpt-3.5-turbo"),
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("LLaMA 3.1 8B", "meta-llama/llama-3.1-8b-instruct"),
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model_names = [name for name, _ in models]
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model_ids = [model_id for _, model_id in models]
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selected_index = st.selectbox("Model", range(len(model_names)),
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format_func=lambda x: model_names[x],
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index=0)
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selected_model = model_ids[selected_index]
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# Show selected model ID in green
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st.markdown(f"**Model ID:** <span class='model-id'>{selected_model}</span>", unsafe_allow_html=True)
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st.divider()
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# Chat History Controls
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st.header("Chat History")
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# Show number of messages
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if st.session_state.messages:
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st.info(f"
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# Auto-save toggle
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auto_save = st.checkbox("Auto-save messages", value=True)
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# Manual save/load buttons
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col1, col2 = st.columns(2)
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with col1:
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if st.button("Save
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save_chat_history(st.session_state.messages)
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st.success("
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with col2:
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if st.button("Load
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st.session_state.messages = load_chat_history()
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st.success("
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st.rerun()
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st.
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if os.path.exists(HISTORY_FILE):
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with open(HISTORY_FILE, '
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# Display chat messages
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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# Check if this is an assistant message with attribution
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if message["role"] == "assistant" and "Response created by:" in message["content"]:
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# Split content and attribution
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parts = message["content"].split("\n\n---\n*Response created by:")
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main_content = parts[0]
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if len(parts) > 1:
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st.markdown(message["content"])
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# Chat input
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if prompt := st.chat_input("
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# Update online status when user sends message
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update_online_users()
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# Add user message
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user_message = {"role": "user", "content": prompt}
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st.session_state.messages.append(user_message)
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# Auto-save if enabled
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if auto_save:
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save_chat_history(st.session_state.messages)
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# Display user message
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with st.chat_message("user"):
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st.markdown(prompt)
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# Get AI response
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with st.chat_message("assistant"):
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placeholder = st.empty()
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full_response = response
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placeholder.markdown(full_response + "β")
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# Remove cursor and show final response
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placeholder.markdown(full_response)
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except Exception as e:
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placeholder.markdown(error_msg)
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full_response = error_msg
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# Add AI response to messages with attribution
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full_response_with_attribution = full_response + f"\n\n---\n*Response created by: **{model_names[selected_index]}***"
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assistant_message = {"role": "assistant", "content": full_response_with_attribution}
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st.session_state.messages.append(assistant_message)
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# Auto-save if enabled
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if auto_save:
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save_chat_history(st.session_state.messages)
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#
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st.caption(f"Currently using: **{model_names[selected_index]}**")
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st.set_page_config(
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page_title="Chat Flow π·",
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page_icon="π¬",
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initial_sidebar_state="collapsed",
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layout="wide"
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)
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# Dark theme CSS matching the BuildHub design
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st.markdown("""
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<style>
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/* Import Google Fonts for modern typography */
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
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/* Main app dark theme */
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.stApp {
|
25 |
+
background: linear-gradient(135deg, #1a1a1a 0%, #2d2d2d 100%);
|
26 |
+
font-family: 'Inter', sans-serif;
|
27 |
+
color: #ffffff;
|
28 |
}
|
29 |
|
30 |
+
/* Container styling */
|
31 |
.main .block-container {
|
32 |
+
max-width: 1200px;
|
33 |
+
padding: 2rem;
|
34 |
}
|
35 |
|
36 |
+
/* Hide Streamlit elements */
|
37 |
#MainMenu {visibility: hidden;}
|
38 |
footer {visibility: hidden;}
|
39 |
header {visibility: hidden;}
|
40 |
.stDeployButton {display: none;}
|
41 |
|
42 |
+
/* Dark sidebar with golden accents */
|
43 |
+
.css-1d391kg {
|
44 |
+
background: linear-gradient(180deg, #1f1f1f 0%, #2a2a2a 100%);
|
45 |
+
border-right: 1px solid #333;
|
46 |
+
padding: 1rem;
|
47 |
+
}
|
48 |
+
|
49 |
+
.css-1d391kg .stMarkdown {
|
50 |
+
color: #ffffff;
|
51 |
+
}
|
52 |
+
|
53 |
+
/* Title styling with golden accent */
|
54 |
+
h1 {
|
55 |
+
color: #ffd700;
|
56 |
+
font-weight: 700;
|
57 |
+
font-size: 2.5rem;
|
58 |
+
text-align: center;
|
59 |
+
margin-bottom: 0.5rem;
|
60 |
+
text-shadow: 0 0 20px rgba(255, 215, 0, 0.3);
|
61 |
+
}
|
62 |
+
|
63 |
+
.stCaption {
|
64 |
+
color: #cccccc;
|
65 |
+
text-align: center;
|
66 |
+
font-size: 1.1rem;
|
67 |
+
margin-bottom: 2rem;
|
68 |
+
}
|
69 |
+
|
70 |
+
/* Chat messages with modern dark styling */
|
71 |
+
[data-testid="chat-message-user"] {
|
72 |
+
background: linear-gradient(135deg, #ffd700 0%, #ffed4e 100%);
|
73 |
+
color: #1a1a1a;
|
74 |
+
border-radius: 20px;
|
75 |
+
padding: 1rem 1.5rem;
|
76 |
+
margin: 1rem 0;
|
77 |
+
margin-left: 20%;
|
78 |
+
box-shadow: 0 4px 15px rgba(255, 215, 0, 0.2);
|
79 |
+
border: 1px solid rgba(255, 215, 0, 0.3);
|
80 |
+
}
|
81 |
+
|
82 |
+
[data-testid="chat-message-user"] .stMarkdown {
|
83 |
+
color: #1a1a1a;
|
84 |
+
font-weight: 500;
|
85 |
+
}
|
86 |
+
|
87 |
+
[data-testid="chat-message-assistant"] {
|
88 |
+
background: linear-gradient(135deg, #2a2a2a 0%, #3a3a3a 100%);
|
89 |
+
color: #ffffff;
|
90 |
+
border-radius: 20px;
|
91 |
+
padding: 1rem 1.5rem;
|
92 |
+
margin: 1rem 0;
|
93 |
+
margin-right: 20%;
|
94 |
+
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.3);
|
95 |
+
border: 1px solid #444;
|
96 |
+
}
|
97 |
+
|
98 |
+
[data-testid="chat-message-assistant"] .stMarkdown {
|
99 |
+
color: #ffffff;
|
100 |
+
}
|
101 |
+
|
102 |
+
/* Chat input with dark theme */
|
103 |
+
.stChatInput {
|
104 |
+
background: linear-gradient(135deg, #2a2a2a 0%, #3a3a3a 100%);
|
105 |
+
border-radius: 25px;
|
106 |
+
border: 1px solid #444;
|
107 |
+
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
|
108 |
+
}
|
109 |
+
|
110 |
+
.stChatInput input {
|
111 |
+
background: transparent;
|
112 |
+
color: #ffffff;
|
113 |
+
border: none;
|
114 |
+
font-size: 16px;
|
115 |
+
padding: 1rem 1.5rem;
|
116 |
+
}
|
117 |
+
|
118 |
+
.stChatInput input::placeholder {
|
119 |
+
color: #888;
|
120 |
+
}
|
121 |
+
|
122 |
+
/* Sidebar sections */
|
123 |
+
.css-1d391kg h1, .css-1d391kg h2, .css-1d391kg h3 {
|
124 |
+
color: #ffd700;
|
125 |
+
font-weight: 600;
|
126 |
+
}
|
127 |
+
|
128 |
+
/* Status indicators with golden theme */
|
129 |
+
.stSuccess {
|
130 |
+
background: linear-gradient(135deg, #ffd700 0%, #ffed4e 100%);
|
131 |
+
color: #1a1a1a;
|
132 |
+
border: none;
|
133 |
+
border-radius: 10px;
|
134 |
+
}
|
135 |
+
|
136 |
+
.stInfo {
|
137 |
+
background: linear-gradient(135deg, #4a90e2 0%, #357abd 100%);
|
138 |
+
color: #ffffff;
|
139 |
+
border: none;
|
140 |
+
border-radius: 10px;
|
141 |
+
}
|
142 |
+
|
143 |
+
.stError {
|
144 |
+
background: linear-gradient(135deg, #ff6b6b 0%, #ee5a52 100%);
|
145 |
+
color: #ffffff;
|
146 |
+
border: none;
|
147 |
+
border-radius: 10px;
|
148 |
+
}
|
149 |
+
|
150 |
+
.stWarning {
|
151 |
+
background: linear-gradient(135deg, #ffa726 0%, #ff9800 100%);
|
152 |
+
color: #1a1a1a;
|
153 |
+
border: none;
|
154 |
+
border-radius: 10px;
|
155 |
+
}
|
156 |
+
|
157 |
+
/* Buttons with golden accent */
|
158 |
+
.stButton button {
|
159 |
+
background: linear-gradient(135deg, #ffd700 0%, #ffed4e 100%);
|
160 |
+
color: #1a1a1a;
|
161 |
+
border: none;
|
162 |
+
border-radius: 12px;
|
163 |
+
font-weight: 600;
|
164 |
+
padding: 0.75rem 1.5rem;
|
165 |
+
transition: all 0.3s ease;
|
166 |
+
box-shadow: 0 2px 10px rgba(255, 215, 0, 0.2);
|
167 |
+
}
|
168 |
+
|
169 |
+
.stButton button:hover {
|
170 |
+
transform: translateY(-2px);
|
171 |
+
box-shadow: 0 4px 20px rgba(255, 215, 0, 0.4);
|
172 |
+
}
|
173 |
+
|
174 |
+
/* Secondary buttons */
|
175 |
+
.stButton button[kind="secondary"] {
|
176 |
+
background: linear-gradient(135deg, #444 0%, #555 100%);
|
177 |
+
color: #ffffff;
|
178 |
+
border: 1px solid #666;
|
179 |
+
}
|
180 |
+
|
181 |
+
.stButton button[kind="secondary"]:hover {
|
182 |
+
background: linear-gradient(135deg, #555 0%, #666 100%);
|
183 |
+
}
|
184 |
+
|
185 |
+
/* Selectbox styling */
|
186 |
+
.stSelectbox > div > div {
|
187 |
+
background: linear-gradient(135deg, #2a2a2a 0%, #3a3a3a 100%);
|
188 |
+
border: 1px solid #444;
|
189 |
+
border-radius: 10px;
|
190 |
+
color: #ffffff;
|
191 |
+
}
|
192 |
+
|
193 |
+
.stSelectbox > div > div:hover {
|
194 |
+
border-color: #ffd700;
|
195 |
+
}
|
196 |
+
|
197 |
+
/* Checkbox styling */
|
198 |
+
.stCheckbox > label {
|
199 |
+
color: #ffffff;
|
200 |
+
}
|
201 |
+
|
202 |
+
/* Text areas */
|
203 |
+
.stTextArea textarea {
|
204 |
+
background: linear-gradient(135deg, #2a2a2a 0%, #3a3a3a 100%);
|
205 |
+
color: #ffffff;
|
206 |
+
border: 1px solid #444;
|
207 |
+
border-radius: 10px;
|
208 |
+
}
|
209 |
+
|
210 |
+
/* Expander styling */
|
211 |
+
.streamlit-expanderHeader {
|
212 |
+
background: linear-gradient(135deg, #2a2a2a 0%, #3a3a3a 100%);
|
213 |
+
color: #ffd700;
|
214 |
+
border-radius: 10px;
|
215 |
+
border: 1px solid #444;
|
216 |
+
}
|
217 |
+
|
218 |
+
.streamlit-expanderContent {
|
219 |
+
background: #1f1f1f;
|
220 |
+
border: 1px solid #333;
|
221 |
+
border-radius: 0 0 10px 10px;
|
222 |
+
}
|
223 |
+
|
224 |
+
/* Model ID styling */
|
225 |
.model-id {
|
226 |
+
color: #ffd700;
|
227 |
+
font-family: 'Courier New', monospace;
|
228 |
+
font-weight: bold;
|
229 |
+
background: rgba(255, 215, 0, 0.1);
|
230 |
+
padding: 0.25rem 0.5rem;
|
231 |
+
border-radius: 5px;
|
232 |
+
border: 1px solid rgba(255, 215, 0, 0.3);
|
233 |
}
|
234 |
|
235 |
.model-attribution {
|
236 |
+
color: #ffd700;
|
237 |
font-size: 0.8em;
|
238 |
font-style: italic;
|
239 |
+
text-align: right;
|
240 |
+
margin-top: 0.5rem;
|
241 |
+
padding-top: 0.5rem;
|
242 |
+
border-top: 1px solid #444;
|
243 |
+
}
|
244 |
+
|
245 |
+
/* Divider styling */
|
246 |
+
hr {
|
247 |
+
border-color: #444;
|
248 |
+
margin: 1.5rem 0;
|
249 |
+
}
|
250 |
+
|
251 |
+
/* Download button */
|
252 |
+
.stDownloadButton button {
|
253 |
+
background: linear-gradient(135deg, #4a90e2 0%, #357abd 100%);
|
254 |
+
color: #ffffff;
|
255 |
+
border: none;
|
256 |
+
border-radius: 10px;
|
257 |
+
font-weight: 600;
|
258 |
}
|
259 |
|
260 |
+
/* Welcome message area */
|
261 |
+
.welcome-container {
|
262 |
+
display: flex;
|
263 |
+
flex-direction: column;
|
264 |
+
align-items: center;
|
265 |
+
justify-content: center;
|
266 |
+
min-height: 400px;
|
267 |
+
text-align: center;
|
268 |
+
}
|
269 |
+
|
270 |
+
.welcome-orb {
|
271 |
+
width: 120px;
|
272 |
+
height: 120px;
|
273 |
+
border-radius: 50%;
|
274 |
+
background: radial-gradient(circle at 30% 30%, #ffd700, #ffed4e, #cc8400);
|
275 |
+
display: flex;
|
276 |
+
align-items: center;
|
277 |
+
justify-content: center;
|
278 |
+
margin-bottom: 2rem;
|
279 |
+
box-shadow: 0 0 40px rgba(255, 215, 0, 0.3);
|
280 |
+
animation: pulse 2s infinite;
|
281 |
+
}
|
282 |
+
|
283 |
+
@keyframes pulse {
|
284 |
+
0% { box-shadow: 0 0 40px rgba(255, 215, 0, 0.3); }
|
285 |
+
50% { box-shadow: 0 0 60px rgba(255, 215, 0, 0.5); }
|
286 |
+
100% { box-shadow: 0 0 40px rgba(255, 215, 0, 0.3); }
|
287 |
+
}
|
288 |
+
|
289 |
+
.welcome-title {
|
290 |
+
font-size: 2rem;
|
291 |
+
font-weight: 700;
|
292 |
+
color: #ffd700;
|
293 |
+
margin-bottom: 1rem;
|
294 |
+
}
|
295 |
+
|
296 |
+
.welcome-subtitle {
|
297 |
+
font-size: 1.1rem;
|
298 |
+
color: #cccccc;
|
299 |
+
margin-bottom: 2rem;
|
300 |
+
}
|
301 |
+
|
302 |
+
/* Mobile responsiveness */
|
303 |
@media (max-width: 768px) {
|
|
|
|
|
|
|
|
|
304 |
.main .block-container {
|
305 |
+
padding: 1rem 0.5rem;
|
306 |
max-width: 100%;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
307 |
}
|
308 |
|
309 |
h1 {
|
310 |
+
font-size: 2rem;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
311 |
}
|
312 |
|
313 |
+
[data-testid="chat-message-user"] {
|
314 |
+
margin-left: 10%;
|
315 |
+
padding: 0.75rem 1rem;
|
|
|
|
|
|
|
|
|
|
|
|
|
316 |
}
|
317 |
|
318 |
+
[data-testid="chat-message-assistant"] {
|
319 |
+
margin-right: 10%;
|
320 |
+
padding: 0.75rem 1rem;
|
|
|
|
|
|
|
|
|
321 |
}
|
322 |
|
323 |
+
.welcome-orb {
|
324 |
+
width: 80px;
|
325 |
+
height: 80px;
|
326 |
}
|
327 |
|
328 |
+
.welcome-title {
|
329 |
+
font-size: 1.5rem;
|
|
|
|
|
|
|
|
|
|
|
330 |
}
|
331 |
|
332 |
+
.css-1d391kg {
|
333 |
+
width: 100% !important;
|
334 |
}
|
335 |
}
|
336 |
|
337 |
+
/* Extra small screens */
|
338 |
@media (max-width: 480px) {
|
339 |
+
[data-testid="chat-message-user"] {
|
340 |
+
margin-left: 5%;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
341 |
}
|
342 |
|
343 |
+
[data-testid="chat-message-assistant"] {
|
344 |
+
margin-right: 5%;
|
|
|
345 |
}
|
346 |
|
347 |
+
.main .block-container {
|
348 |
+
padding: 0.5rem 0.25rem;
|
349 |
}
|
350 |
}
|
351 |
</style>
|
|
|
387 |
def get_user_id():
|
388 |
"""Get unique ID for this user session"""
|
389 |
if 'user_id' not in st.session_state:
|
390 |
+
st.session_state.user_id = str(uuid.uuid4())[:8]
|
391 |
return st.session_state.user_id
|
392 |
|
393 |
def update_online_users():
|
394 |
"""Update that this user is online right now"""
|
395 |
try:
|
|
|
396 |
users = {}
|
397 |
if os.path.exists(USERS_FILE):
|
398 |
with open(USERS_FILE, 'r') as f:
|
399 |
users = json.load(f)
|
400 |
|
|
|
401 |
user_id = get_user_id()
|
402 |
users[user_id] = {
|
403 |
'last_seen': datetime.now().isoformat(),
|
404 |
+
'name': f'User-{user_id}'
|
405 |
}
|
406 |
|
407 |
# Remove users not seen in last 5 minutes
|
|
|
412 |
if current_time - last_seen < timedelta(minutes=5):
|
413 |
active_users[uid] = data
|
414 |
|
|
|
415 |
with open(USERS_FILE, 'w') as f:
|
416 |
json.dump(active_users, f, indent=2)
|
417 |
|
418 |
return len(active_users)
|
419 |
except Exception:
|
420 |
+
return 1
|
421 |
|
422 |
def get_online_count():
|
423 |
"""Get number of people currently online"""
|
|
|
428 |
with open(USERS_FILE, 'r') as f:
|
429 |
users = json.load(f)
|
430 |
|
|
|
431 |
current_time = datetime.now()
|
432 |
active_count = 0
|
433 |
for data in users.values():
|
|
|
466 |
headers = {
|
467 |
"Content-Type": "application/json",
|
468 |
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
|
469 |
+
"HTTP-Referer": "http://localhost:8501",
|
470 |
+
"X-Title": "Streamlit AI Assistant"
|
471 |
}
|
472 |
|
|
|
473 |
api_messages = [{"role": "system", "content": "You are a helpful AI assistant. Provide clear and helpful responses."}]
|
474 |
api_messages.extend(messages)
|
475 |
|
|
|
487 |
try:
|
488 |
response = requests.post(url, headers=headers, json=data, stream=True, timeout=60)
|
489 |
|
|
|
490 |
if response.status_code != 200:
|
491 |
error_detail = ""
|
492 |
try:
|
|
|
499 |
return
|
500 |
|
501 |
full_response = ""
|
|
|
502 |
|
|
|
503 |
for line in response.iter_lines():
|
504 |
if line:
|
|
|
505 |
if line.startswith(b"data: "):
|
506 |
data_str = line[len(b"data: "):].decode("utf-8")
|
507 |
if data_str.strip() == "[DONE]":
|
|
|
532 |
|
533 |
# Sidebar
|
534 |
with st.sidebar:
|
535 |
+
st.header("βοΈ Settings")
|
536 |
|
537 |
# API Status
|
538 |
status = check_api_status()
|
539 |
if status == "Connected":
|
540 |
st.success("π’ API Connected")
|
541 |
elif status == "No API Key":
|
542 |
+
st.error("β No API Key")
|
543 |
else:
|
544 |
+
st.warning("β οΈ Connection Issue")
|
545 |
|
546 |
st.divider()
|
547 |
|
548 |
# Live Users Section
|
549 |
+
st.header("π₯ Live Users")
|
|
|
|
|
550 |
online_count = update_online_users()
|
551 |
|
|
|
552 |
if online_count == 1:
|
553 |
st.info("π’ Just you online")
|
554 |
else:
|
555 |
st.success(f"π’ {online_count} people online")
|
556 |
|
|
|
557 |
your_id = get_user_id()
|
558 |
st.caption(f"You: User-{your_id}")
|
559 |
|
560 |
+
if st.button("π Refresh", use_container_width=True):
|
|
|
561 |
st.rerun()
|
562 |
|
563 |
+
# Debug section
|
564 |
with st.expander("π Debug Info"):
|
565 |
if os.path.exists(USERS_FILE):
|
566 |
with open(USERS_FILE, 'r') as f:
|
|
|
576 |
|
577 |
st.divider()
|
578 |
|
579 |
+
# Model Selection
|
580 |
+
st.header("π€ AI Models")
|
581 |
models = [
|
582 |
("GPT-3.5 Turbo", "openai/gpt-3.5-turbo"),
|
583 |
("LLaMA 3.1 8B", "meta-llama/llama-3.1-8b-instruct"),
|
|
|
594 |
model_names = [name for name, _ in models]
|
595 |
model_ids = [model_id for _, model_id in models]
|
596 |
|
597 |
+
selected_index = st.selectbox("Choose Model", range(len(model_names)),
|
598 |
format_func=lambda x: model_names[x],
|
599 |
index=0)
|
600 |
selected_model = model_ids[selected_index]
|
601 |
|
|
|
602 |
st.markdown(f"**Model ID:** <span class='model-id'>{selected_model}</span>", unsafe_allow_html=True)
|
603 |
|
604 |
st.divider()
|
605 |
|
606 |
# Chat History Controls
|
607 |
+
st.header("π¬ Chat History")
|
608 |
|
|
|
609 |
if st.session_state.messages:
|
610 |
+
st.info(f"π {len(st.session_state.messages)} messages stored")
|
611 |
|
|
|
612 |
auto_save = st.checkbox("Auto-save messages", value=True)
|
613 |
|
|
|
614 |
col1, col2 = st.columns(2)
|
615 |
with col1:
|
616 |
+
if st.button("πΎ Save", use_container_width=True):
|
617 |
save_chat_history(st.session_state.messages)
|
618 |
+
st.success("Saved!")
|
619 |
|
620 |
with col2:
|
621 |
+
if st.button("π Load", use_container_width=True):
|
622 |
st.session_state.messages = load_chat_history()
|
623 |
+
st.success("Loaded!")
|
624 |
st.rerun()
|
625 |
|
626 |
+
with st.expander("π More Options"):
|
627 |
+
if st.button("ποΈ View History File", use_container_width=True):
|
628 |
+
if os.path.exists(HISTORY_FILE):
|
629 |
+
with open(HISTORY_FILE, 'r', encoding='utf-8') as f:
|
630 |
+
history_content = f.read()
|
631 |
+
st.text_area("Chat History (JSON)", history_content, height=150)
|
632 |
+
else:
|
633 |
+
st.warning("No history file found")
|
634 |
+
|
635 |
if os.path.exists(HISTORY_FILE):
|
636 |
+
with open(HISTORY_FILE, 'rb') as f:
|
637 |
+
st.download_button(
|
638 |
+
label="β¬οΈ Download History",
|
639 |
+
data=f.read(),
|
640 |
+
file_name=f"chat_history_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
|
641 |
+
mime="application/json",
|
642 |
+
use_container_width=True
|
643 |
+
)
|
644 |
+
|
645 |
+
if st.button("ποΈ Clear Chat", use_container_width=True, type="secondary"):
|
646 |
+
clear_chat_history()
|
647 |
+
st.success("Chat cleared!")
|
648 |
+
st.rerun()
|
649 |
+
|
650 |
+
# Welcome message when no messages
|
651 |
+
if not st.session_state.messages:
|
652 |
+
st.markdown("""
|
653 |
+
<div class="welcome-container">
|
654 |
+
<div class="welcome-orb">
|
655 |
+
<span style="font-size: 3rem;">π·</span>
|
656 |
+
</div>
|
657 |
+
<div class="welcome-title">Welcome back!</div>
|
658 |
+
<div class="welcome-subtitle">Which AI model do you want to chat with today?</div>
|
659 |
+
</div>
|
660 |
+
""", unsafe_allow_html=True)
|
661 |
|
662 |
# Display chat messages
|
663 |
for message in st.session_state.messages:
|
664 |
with st.chat_message(message["role"]):
|
|
|
665 |
if message["role"] == "assistant" and "Response created by:" in message["content"]:
|
|
|
666 |
parts = message["content"].split("\n\n---\n*Response created by:")
|
667 |
main_content = parts[0]
|
668 |
if len(parts) > 1:
|
|
|
675 |
st.markdown(message["content"])
|
676 |
|
677 |
# Chat input
|
678 |
+
if prompt := st.chat_input("Tell us about your capabilities..."):
|
|
|
679 |
update_online_users()
|
680 |
|
|
|
681 |
user_message = {"role": "user", "content": prompt}
|
682 |
st.session_state.messages.append(user_message)
|
683 |
|
|
|
684 |
if auto_save:
|
685 |
save_chat_history(st.session_state.messages)
|
686 |
|
|
|
687 |
with st.chat_message("user"):
|
688 |
st.markdown(prompt)
|
689 |
|
|
|
690 |
with st.chat_message("assistant"):
|
691 |
placeholder = st.empty()
|
692 |
|
|
|
696 |
full_response = response
|
697 |
placeholder.markdown(full_response + "β")
|
698 |
|
|
|
699 |
placeholder.markdown(full_response)
|
700 |
|
701 |
except Exception as e:
|
|
|
703 |
placeholder.markdown(error_msg)
|
704 |
full_response = error_msg
|
705 |
|
|
|
706 |
full_response_with_attribution = full_response + f"\n\n---\n*Response created by: **{model_names[selected_index]}***"
|
707 |
assistant_message = {"role": "assistant", "content": full_response_with_attribution}
|
708 |
st.session_state.messages.append(assistant_message)
|
709 |
|
|
|
710 |
if auto_save:
|
711 |
save_chat_history(st.session_state.messages)
|
712 |
|
713 |
+
# Footer
|
714 |
st.caption(f"Currently using: **{model_names[selected_index]}**")
|