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import streamlit as st
import os
from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
from langchain_core.messages import HumanMessage, SystemMessage
# Set Hugging Face tokens
hf = os.getenv('Data_science')
os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
os.environ['HF_TOKEN'] = hf
# --- Page Configuration ---
st.set_page_config(page_title="🤖 ML Mentor Chat", page_icon="📘", layout="centered")
# --- Inject Custom CSS Styling ---
st.markdown("""
<style>
.main {
background: linear-gradient(135deg, #1e3c72 0%, #2a5298 100%);
padding: 2rem;
font-family: 'Segoe UI', sans-serif;
}
h1, h2, h3, h4, h5, h6, p, label, .css-10trblm, .css-1v0mbdj, .css-q8sbsg {
color: #ffffff !important;
text-align: center;
}
.stTextInput > div > div > input {
background-color: rgba(255, 255, 255, 0.1);
color: white;
border: 1px solid rgba(255, 255, 255, 0.5);
border-radius: 8px;
padding: 0.5em;
}
.stTextInput > div > div > input::placeholder {
color: rgba(255, 255, 255, 0.6);
}
.stButton>button {
background: rgba(255, 255, 255, 0.15);
border: 2px solid rgba(255, 255, 255, 0.4);
color: white;
font-size: 18px;
font-weight: bold;
padding: 0.8em 1.2em;
border-radius: 10px;
width: 100%;
transition: 0.3s ease;
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.25);
}
.stButton>button:hover {
background: rgba(255, 255, 255, 0.3);
border-color: white;
color: white;
}
.stSidebar > div:first-child {
background: #2c3e50;
padding: 1rem;
border-radius: 0 15px 15px 0;
}
.stSidebar h1, .stSidebar h2, .stSidebar h3, .stSidebar label, .stSidebar p {
color: white !important;
}
hr {
border: 1px solid rgba(255, 255, 255, 0.3);
margin: 2em 0;
}
</style>
""", unsafe_allow_html=True)
# --- Page Title ---
st.title("🤖 Machine Learning Mentor Chat")
st.markdown("### 📘 Ask anything about ML concepts, tools, or workflows!")
# --- Sidebar: Experience Selector ---
st.sidebar.title("🧑🏫 Mentor Preferences")
experience_label = st.sidebar.selectbox(
"🎓 Choose your experience level:", ["Beginner", "Intermediate", "Experienced"]
)
# --- Initialize Chat Model ---
ml_model_skeleton = HuggingFaceEndpoint(
repo_id='Qwen/Qwen3-14B',
provider='nebius',
temperature=0.7,
max_new_tokens=50,
task='conversational'
)
ml_mentor = ChatHuggingFace(
llm=ml_model_skeleton,
repo_id='Qwen/Qwen3-14B',
provider='nebius',
temperature=0.7,
max_new_tokens=50,
task='conversational'
)
PAGE_KEY = "ml_chat_history"
# --- Session State Initialization ---
if PAGE_KEY not in st.session_state:
st.session_state[PAGE_KEY] = []
# --- Chat Input Form ---
with st.form(key="chat_form"):
user_input = st.text_input("🧠 Ask your ML question:", placeholder="e.g. What is overfitting?")
submit = st.form_submit_button("🚀 Send")
# --- Chat Logic ---
if submit and user_input:
system_prompt = (
f"You are a helpful machine learning mentor for a {experience_label.lower()} learner. "
f"Only answer machine learning-related questions in a concise, friendly tone. "
f"Keep answers under 150 words. Politely decline off-topic questions."
)
messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
result = ml_mentor.invoke(messages)
st.session_state[PAGE_KEY].append((user_input, result.content))
# --- Chat History ---
st.subheader("📜 Chat History")
for user, bot in st.session_state[PAGE_KEY]:
st.markdown(f"**🧑 You:** {user}")
st.markdown(f"**🤖 Mentor:** {bot}")
st.markdown("---") |