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import streamlit as st
import os
from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
from langchain_core.messages import HumanMessage, SystemMessage
# Set environment variables for Hugging Face token
hf = os.getenv('HF_TOKEN')
os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
os.environ['HF_TOKEN'] = hf
# Page config
st.set_page_config(page_title="Deep Learning Mentor Chat", layout="centered")
# Custom CSS for modern chat UI
st.markdown("""
<style>
.main {
background: linear-gradient(135deg, #2c3e50, #4ca1af);
color: white;
font-family: 'Segoe UI', sans-serif;
padding: 2rem;
}
.stButton>button {
background-color: #1abc9c;
color: white;
font-weight: bold;
padding: 0.6rem 1.2rem;
border-radius: 10px;
border: none;
width: 100%;
transition: 0.3s ease;
}
.stButton>button:hover {
background-color: #16a085;
color: #fff;
}
h1, h3, p, label, .css-10trblm, .css-1v0mbdj {
color: white !important;
text-align: center;
}
.chat-container {
margin-top: 1.5rem;
display: flex;
flex-direction: column;
gap: 1rem;
}
.chat-user {
background-color: #34495e;
padding: 0.8rem;
border-radius: 12px;
align-self: flex-end;
max-width: 80%;
font-weight: 500;
color: white;
}
.chat-bot {
background-color: #2ecc71;
padding: 0.8rem;
border-radius: 12px;
align-self: flex-start;
max-width: 80%;
color: white;
}
hr {
border-top: 1px solid #ffffff50;
margin: 2rem 0;
}
</style>
""", unsafe_allow_html=True)
# App title
st.markdown("<h1>🤖 Deep Learning Mentor Chat</h1>", unsafe_allow_html=True)
st.markdown("<p>Learn Deep Learning with personalized AI mentorship</p>", unsafe_allow_html=True)
# Sidebar for experience level
st.sidebar.title("🎓 Select Your Level")
exp = st.sidebar.selectbox("Experience Level", ["Beginner", "Intermediate", "Expert"])
# Load Deep Learning model
mentor_llm = HuggingFaceEndpoint(
repo_id='Qwen/Qwen3-32B',
provider='sambanova',
temperature=0.7,
max_new_tokens=150,
task='conversational'
)
deep_mentor = ChatHuggingFace(llm=mentor_llm)
# Session key for conversation
PAGE_KEY = "deep_learning_chat_history"
if PAGE_KEY not in st.session_state:
st.session_state[PAGE_KEY] = []
# Chat input form
st.markdown("<hr>", unsafe_allow_html=True)
with st.form(key="chat_form"):
user_input = st.text_input("💬 Ask your deep learning question:")
submit = st.form_submit_button("Send")
# Handle chat submission
if submit and user_input:
system_prompt = (
f"You are a deep learning mentor with {exp.lower()} expertise. "
f"Only answer deep learning-related questions in a friendly, helpful tone under 150 words. "
f"If a question is off-topic, politely say it's out of scope."
)
messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
result = deep_mentor.invoke(messages)
st.session_state[PAGE_KEY].append((user_input, result.content))
# Chat history display with bubble styling
if st.session_state[PAGE_KEY]:
st.markdown('<div class="chat-container">', unsafe_allow_html=True)
for user, bot in st.session_state[PAGE_KEY]:
st.markdown(f'<div class="chat-user">👤 <strong>You:</strong> {user}</div>', unsafe_allow_html=True)
st.markdown(f'<div class="chat-bot">🧑🏫 <strong>Mentor:</strong> {bot}</div>', unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)
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