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Update pages/4_Statistics.py
Browse files- pages/4_Statistics.py +52 -33
pages/4_Statistics.py
CHANGED
@@ -3,15 +3,15 @@ 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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#
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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
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st.set_page_config(page_title="Statistics Mentor Chat", layout="centered")
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# Custom
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st.markdown("""
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<style>
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.main {
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@@ -19,42 +19,61 @@ st.markdown("""
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padding: 2rem;
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font-family: 'Segoe UI', sans-serif;
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}
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.stButton>button {
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background:
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border: 2px solid
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color: white;
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font-size: 18px;
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font-weight:
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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: 0.3s ease;
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box-shadow: 0 4px
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}
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.stButton>button:hover {
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background:
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border-color:
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color:
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}
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}
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hr {
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border: 1px solid
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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("๐ Statistics Mentor Chat")
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# Sidebar
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st.sidebar.title("Mentor Preferences")
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exp = st.sidebar.selectbox("Select your experience level:", ["Beginner", "Intermediate", "Expert"])
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# Model
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stats_model_skeleton = HuggingFaceEndpoint(
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repo_id='THUDM/GLM-4-32B-0414',
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provider='novita',
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task='conversational'
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)
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# Session
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PAGE_KEY = "chat_history_stats"
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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
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with st.form(key="chat_form"):
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user_input = st.text_input("Ask your question:")
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submit = st.form_submit_button("Send")
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# Chat
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if submit and user_input:
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system_prompt = (
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f"
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f"Answer in a friendly tone
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f"If the
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)
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messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
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result = stats_mentor.invoke(messages)
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st.session_state[PAGE_KEY].append((user_input, result.content))
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#
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st.subheader("
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for user, bot in st.session_state[PAGE_KEY]:
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st.markdown(f"
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st.markdown(f"
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st.markdown("---")
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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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# --- Environment Token Setup ---
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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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# --- Streamlit Page Config ---
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st.set_page_config(page_title="๐ Statistics Mentor Chat", page_icon="๐", layout="centered")
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# --- Custom CSS Styling ---
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st.markdown("""
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<style>
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.main {
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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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# --- Page Title ---
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st.title("๐ Statistics Mentor Chat")
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st.markdown("### ๐งฎ Ask questions about probability, distributions, testing, and more!")
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# --- Sidebar: Experience Selection ---
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st.sidebar.title("๐ Mentor Preferences")
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exp = st.sidebar.selectbox("๐ Select your experience level:", ["Beginner", "Intermediate", "Expert"])
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# --- Load Language Model ---
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stats_model_skeleton = HuggingFaceEndpoint(
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repo_id='THUDM/GLM-4-32B-0414',
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provider='novita',
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task='conversational'
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)
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# --- Chat Session State ---
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PAGE_KEY = "chat_history_stats"
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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 ---
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with st.form(key="chat_form"):
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user_input = st.text_input("๐ Ask your Statistics question:", placeholder="e.g. What is the difference between mean and median?")
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submit = st.form_submit_button("๐ค Send")
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# --- Chat Handling Logic ---
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if submit and user_input:
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system_prompt = (
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f"You are a statistics mentor with {exp.lower()} expertise. "
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f"Answer only statistics-related questions in a concise, friendly tone. "
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f"Keep responses under 150 words. If the topic is out of scope, politely say so."
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)
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messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
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result = stats_mentor.invoke(messages)
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st.session_state[PAGE_KEY].append((user_input, result.content))
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# --- Chat History ---
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st.subheader("๐ Chat History")
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for user, bot in st.session_state[PAGE_KEY]:
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st.markdown(f"**๐ You:** {user}")
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st.markdown(f"**๐ Mentor:** {bot}")
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st.markdown("---")
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