Update pages/deep_learning.py

pages/deep_learning.py

@@ -7,14 +7,58 @@ hf = os.getenv('Data_science')
 os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
 os.environ['HF_TOKEN'] = hf
 
+# Page config
 st.set_page_config(page_title="Python Mentor Chat", layout="centered")
+
+# Inject home page CSS style
+st.markdown("""
+    <style>
+    .main {
+        background: linear-gradient(135deg, #430089 0%, #82ffa1 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;
+    }
+    .css-1aumxhk {
+        color: white;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Title
 st.title("🐍 Python Mentor Chat")
 
+# Sidebar
 st.sidebar.title("Mentor Preferences")
 experience_label = st.sidebar.selectbox(
     "Select your experience level:", ["Beginner", "Intermediate", "Experienced"]
 )
 
+# Initialize model
 deep_seek_skeleton = HuggingFaceEndpoint(
     repo_id='meta-llama/Llama-3.2-3B-Instruct',
     provider='sambanova',
@@ -22,25 +66,25 @@ deep_seek_skeleton = HuggingFaceEndpoint(
     max_new_tokens=150,
     task='conversational'
 )
-
 deep_seek = ChatHuggingFace(
     llm=deep_seek_skeleton,
     repo_id='meta-llama/Llama-3.2-3B-Instruct',
     provider='sambanova',
     temperature=0.7,
-    max_new_tokens=150,
+    max_new_tokens=50,
     task='conversational'
 )
 
 PAGE_KEY = "python_chat_history"
-
 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 question:")
     submit = st.form_submit_button("Send")
 
+# Chat logic
 if submit and user_input:
     system_prompt = (
         f"Act as a python mentor with {experience_label.lower()} experience. "
@@ -51,6 +95,7 @@ if submit and user_input:
     result = deep_seek.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}")