Create 4_Statistics.py

pages/4_Statistics.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 environment variables
+hf = os.getenv('Data_science')
+os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
+os.environ['HF_TOKEN'] = hf
+
+# Page setup
+st.set_page_config(page_title="Statistics Mentor Chat", layout="centered")
+
+# Custom style
+st.markdown("""
+    <style>
+    .main {
+        background: linear-gradient(135deg, #3e32a8 0%, #80ffe0 100%);
+        padding: 2rem;
+        font-family: 'Segoe UI', sans-serif;
+    }
+    .stButton>button {
+        background: #ffffff10;
+        border: 2px solid #ffffff50;
+        color: white;
+        font-size: 18px;
+        font-weight: 600;
+        padding: 0.8em 1.2em;
+        border-radius: 12px;
+        width: 100%;
+        transition: 0.3s ease;
+        box-shadow: 0 4px 10px rgba(0, 0, 0, 0.15);
+    }
+    .stButton>button:hover {
+        background: #ffffff30;
+        border-color: #fff;
+        color: #ffffff;
+    }
+    h1, h3, p, label {
+        color: #ffffff;
+        text-align: center;
+    }
+    hr {
+        border: 1px solid #ffffff50;
+        margin: 2em 0;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Title
+st.title("📊 Statistics Mentor Chat")
+
+# Sidebar
+st.sidebar.title("Mentor Preferences")
+exp = st.sidebar.selectbox("Select your experience level:", ["Beginner", "Intermediate", "Expert"])
+
+# Model setup
+stats_model_skeleton = HuggingFaceEndpoint(
+    repo_id='THUDM/GLM-4-32B-0414',
+    provider='novita',
+    temperature=0.7,
+    max_new_tokens=110,
+    task='conversational'
+)
+
+stats_mentor = ChatHuggingFace(
+    llm=stats_model_skeleton,
+    repo_id='THUDM/GLM-4-32B-0414',
+    provider='novita',
+    temperature=0.7,
+    max_new_tokens=110,
+    task='conversational'
+)
+
+# Session key
+PAGE_KEY = "chat_history_stats"
+if PAGE_KEY not in st.session_state:
+    st.session_state[PAGE_KEY] = []
+
+# Chat form
+with st.form(key="chat_form"):
+    user_input = st.text_input("Ask your question:")
+    submit = st.form_submit_button("Send")
+
+# Chat logic
+if submit and user_input:
+    system_prompt = (
+        f"Act as a statistics mentor with {exp.lower()} expertise. "
+        f"Answer in a friendly tone and within 150 words. "
+        f"If the question is not statistics-related, politely say it's out of scope."
+    )
+    messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
+    result = stats_mentor.invoke(messages)
+    st.session_state[PAGE_KEY].append((user_input, result.content))
+
+# Display 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("---")