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Create 3_Deep_learning.py
Browse files- pages/3_Deep_learning.py +120 -0
pages/3_Deep_learning.py
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import streamlit as st
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import os
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from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
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from langchain_core.messages import HumanMessage, SystemMessage
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# Set environment variables for Hugging Face token
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hf = os.getenv('Data_science')
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os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
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os.environ['HF_TOKEN'] = hf
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# Page config
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st.set_page_config(page_title="π§ Deep Learning Mentor Chat", page_icon="π¬", layout="centered")
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# Inject Custom CSS Styling
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st.markdown("""
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<style>
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.main {
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background: linear-gradient(135deg, #1d2671 0%, #c33764 100%);
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padding: 2rem;
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font-family: 'Segoe UI', sans-serif;
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}
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h1, h2, h3, h4, h5, h6, p, label, .css-10trblm, .css-q8sbsg {
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color: #ffffff !important;
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text-align: center;
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}
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.stTextInput>div>div>input {
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background-color: rgba(255, 255, 255, 0.1);
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color: white;
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border: 1px solid rgba(255, 255, 255, 0.5);
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border-radius: 8px;
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padding: 0.6em;
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}
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.stTextInput>div>div>input::placeholder {
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color: rgba(255, 255, 255, 0.6);
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}
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.stButton>button {
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background: rgba(255, 255, 255, 0.15);
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border: 2px solid rgba(255, 255, 255, 0.4);
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color: white;
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font-size: 18px;
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font-weight: bold;
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padding: 0.8em 1.2em;
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border-radius: 12px;
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width: 100%;
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transition: all 0.3s ease;
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box-shadow: 0 4px 12px rgba(0, 0, 0, 0.25);
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}
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.stButton>button:hover {
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background: rgba(255, 255, 255, 0.3);
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border-color: white;
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color: white;
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}
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.stSidebar > div:first-child {
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background: #2c3e50;
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padding: 1rem;
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border-radius: 0 15px 15px 0;
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}
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.stSidebar h1, .stSidebar h2, .stSidebar h3, .stSidebar label, .stSidebar p {
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color: white !important;
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}
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hr {
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border: 1px solid rgba(255, 255, 255, 0.3);
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margin: 2em 0;
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}
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</style>
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""", unsafe_allow_html=True)
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# --- Title ---
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st.title("π§ Deep Learning Mentor Chat")
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st.markdown("### π‘ Ask questions on neural networks, architectures, optimization, and more!")
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# --- Sidebar: Experience Level ---
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st.sidebar.title("π§βπ« Mentor Preferences")
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exp = st.sidebar.selectbox("π Choose your experience level:", ['Beginner', 'Intermediate', 'Expert'])
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# --- Load Deep Learning Model ---
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mentor_llm = HuggingFaceEndpoint(
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repo_id='Qwen/Qwen3-32B',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=150,
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task='conversational'
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)
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deep_mentor = ChatHuggingFace(
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llm=mentor_llm,
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repo_id='Qwen/Qwen3-32B',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=150,
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task='conversational'
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)
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# --- Session State Initialization ---
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PAGE_KEY = "deep_learning_chat_history"
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if PAGE_KEY not in st.session_state:
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st.session_state[PAGE_KEY] = []
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# --- Chat Input Form ---
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with st.form(key="chat_form"):
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user_input = st.text_input("π§ Ask your Deep Learning question:", placeholder="e.g. What is the vanishing gradient problem?")
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submit = st.form_submit_button("π Send")
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# --- Handle Submission ---
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if submit and user_input:
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system_prompt = (
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f"You are a deep learning mentor with {exp.lower()} level expertise. "
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f"Answer only deep learning-related questions in a friendly, concise manner. "
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f"Keep answers under 150 words. Politely decline non-DL topics."
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)
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messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
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result = deep_mentor.invoke(messages)
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st.session_state[PAGE_KEY].append((user_input, result.content))
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# --- Display Chat History ---
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st.subheader("π Chat History")
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for user, bot in st.session_state[PAGE_KEY]:
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st.markdown(f"**π§ You:** {user}")
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st.markdown(f"**π€ Mentor:** {bot}")
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st.markdown("---")
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