Create 2_Machine_learning.py

pages/2_Machine_learning.py

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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("---")