Update pages/Statistics.py

pages/Statistics.py

@@ -4,102 +4,101 @@ from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
 from langchain_core.messages import HumanMessage, SystemMessage
 
 # Set environment variables
-hf = os.getenv('HF_TOKEN')
+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")
 
-# Modern CSS
+# Custom style
 st.markdown("""
     <style>
     .main {
-        background: linear-gradient(to right, #3e32a8, #80ffe0);
+        background: linear-gradient(135deg, #3e32a8 0%, #80ffe0 100%);
         padding: 2rem;
         font-family: 'Segoe UI', sans-serif;
     }
     .stButton>button {
-        background-color: #ffffff10;
+        background: #ffffff10;
+        border: 2px solid #ffffff50;
         color: white;
+        font-size: 18px;
         font-weight: 600;
-        border-radius: 10px;
-        padding: 0.6rem 1rem;
-        transition: all 0.3s ease;
-        border: 1px solid white;
+        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-color: #ffffff30;
-        color: white;
+        background: #ffffff30;
         border-color: #fff;
+        color: #ffffff;
     }
     h1, h3, p, label {
-        color: white;
+        color: #ffffff;
         text-align: center;
     }
-    .chat-bubble-user {
-        background-color: #ffffff25;
-        padding: 0.75rem 1rem;
-        border-radius: 1rem;
-        margin-bottom: 0.5rem;
-        color: #fff;
-        font-weight: 500;
-        width: fit-content;
-        max-width: 90%;
-        align-self: flex-end;
-    }
-    .chat-bubble-bot {
-        background-color: #ffffff15;
-        padding: 0.75rem 1rem;
-        border-radius: 1rem;
-        margin-bottom: 0.5rem;
-        color: #fff;
-        width: fit-content;
-        max-width: 90%;
-        align-self: flex-start;
-    }
-    .chat-container {
-        display: flex;
-        flex-direction: column;
-        gap: 0.5rem;
-        margin-top: 2rem;
+    hr {
+        border: 1px solid #ffffff50;
+        margin: 2em 0;
     }
     </style>
 """, unsafe_allow_html=True)
 
 # Title
-st.markdown("<h1 style='margin-bottom: 0;'>📊 Statistics Mentor Chat</h1>", unsafe_allow_html=True)
-st.markdown("<p style='margin-top: 0.2rem;'>Ask anything about statistics!</p>", unsafe_allow_html=True)
+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
-st.markdown("<hr>", unsafe_allow_html=True)
 with st.form(key="chat_form"):
-    user_input = st.text_input("💬 Ask a statistics question:")
+    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."
+    system_prompt = (f"""Act as a deep learning mentor with {exp} years of experience. Teach in a friendly, approachable manner while following these strict rules:
+        1. Only answer questions related to deep learning programming (including libraries, frameworks, and tools in the deep learning ecosystem)
+        2. For any non-deep learning query, respond with exactly: "I specialize only in deep learning programming. This appears to be a non-deep learning topic."
+        3. Never suggest you can help with non-deep learning topics
+        4. Keep explanations clear, practical, and beginner-friendly when appropriate
+        5. Include practical examples when explaining concepts
+        6. For advanced topics, assume the student has basic deep learning knowledge"""  
     )
     messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
     result = stats_mentor.invoke(messages)
     st.session_state[PAGE_KEY].append((user_input, result.content))
-# Define chat history key
-PAGE_KEY = "statistics_chat_history"
-if PAGE_KEY not in st.session_state:
-    st.session_state[PAGE_KEY] = []
-
 
 # Display chat history
-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-bubble-user">👤 <strong>You:</strong> {user}</div>', unsafe_allow_html=True)
-        st.markdown(f'<div class="chat-bubble-bot">📘 <strong>Mentor:</strong> {bot}</div>', unsafe_allow_html=True)
-    st.markdown('</div>', unsafe_allow_html=True)
+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("---")