67Ayush87 commited on
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56a1af5
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Update pages/statistics.py

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  1. pages/statistics.py +56 -17
pages/statistics.py CHANGED
@@ -1,22 +1,60 @@
1
  import streamlit as st
2
  import os
3
  from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
4
- from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
5
 
 
6
  hf = os.getenv('Data_science')
7
  os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
8
  os.environ['HF_TOKEN'] = hf
9
 
10
- # --- Config ---
11
  st.set_page_config(page_title="Statistics Mentor Chat", layout="centered")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  st.title("πŸ“Š Statistics Mentor Chat")
13
 
14
- # --- Sidebar for selections ---
15
  st.sidebar.title("Mentor Preferences")
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- exp_options = ['Beginner', 'Intermediate', 'Experienced']
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- exp = st.sidebar.selectbox("Select your experience level:", exp_options)
18
 
19
- # --- Initialize Chat 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',
@@ -34,29 +72,30 @@ stats_mentor = ChatHuggingFace(
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  task='conversational'
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  )
36
 
37
- # --- Session State ---
38
- if "chat_history_stats" not in st.session_state:
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- st.session_state.chat_history_stats = []
 
40
 
41
- # --- Chat Form ---
42
  with st.form(key="chat_form"):
43
  user_input = st.text_input("Ask your question:")
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  submit = st.form_submit_button("Send")
45
 
46
- # --- Chat Logic ---
47
  if submit and user_input:
48
  system_prompt = (
49
- f"Act as a statistics mentor with {exp.lower()} experience level. "
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- f"Explain in a very friendly manner and keep answers within 150 words. "
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- f"If the question is not about statistics, politely say it is out of scope."
52
  )
53
  messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
54
  result = stats_mentor.invoke(messages)
55
- st.session_state.chat_history_stats.append((user_input, result.content))
56
 
57
- # --- Display Chat History ---
58
  st.subheader("πŸ—¨οΈ Chat History")
59
- for user, bot in st.session_state.chat_history_stats:
60
  st.markdown(f"**You:** {user}")
61
  st.markdown(f"**Mentor:** {bot}")
62
  st.markdown("---")
 
1
  import streamlit as st
2
  import os
3
  from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
4
+ from langchain_core.messages import HumanMessage, SystemMessage
5
 
6
+ # Set environment variables
7
  hf = os.getenv('Data_science')
8
  os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
9
  os.environ['HF_TOKEN'] = hf
10
 
11
+ # Page setup
12
  st.set_page_config(page_title="Statistics Mentor Chat", layout="centered")
13
+
14
+ # Custom style
15
+ st.markdown("""
16
+ <style>
17
+ .main {
18
+ background: linear-gradient(135deg, #3e32a8 0%, #80ffe0 100%);
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+ padding: 2rem;
20
+ font-family: 'Segoe UI', sans-serif;
21
+ }
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+ .stButton>button {
23
+ background: #ffffff10;
24
+ border: 2px solid #ffffff50;
25
+ color: white;
26
+ font-size: 18px;
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+ font-weight: 600;
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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 10px rgba(0, 0, 0, 0.15);
33
+ }
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+ .stButton>button:hover {
35
+ background: #ffffff30;
36
+ border-color: #fff;
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+ color: #ffffff;
38
+ }
39
+ h1, h3, p, label {
40
+ color: #ffffff;
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+ text-align: center;
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+ }
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+ hr {
44
+ border: 1px solid #ffffff50;
45
+ margin: 2em 0;
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+ }
47
+ </style>
48
+ """, unsafe_allow_html=True)
49
+
50
+ # Title
51
  st.title("πŸ“Š Statistics Mentor Chat")
52
 
53
+ # Sidebar
54
  st.sidebar.title("Mentor Preferences")
55
+ exp = st.sidebar.selectbox("Select your experience level:", ["Beginner", "Intermediate", "Expert"])
 
56
 
57
+ # Model setup
58
  stats_model_skeleton = HuggingFaceEndpoint(
59
  repo_id='THUDM/GLM-4-32B-0414',
60
  provider='novita',
 
72
  task='conversational'
73
  )
74
 
75
+ # Session key
76
+ PAGE_KEY = "chat_history_stats"
77
+ if PAGE_KEY not in st.session_state:
78
+ st.session_state[PAGE_KEY] = []
79
 
80
+ # Chat form
81
  with st.form(key="chat_form"):
82
  user_input = st.text_input("Ask your question:")
83
  submit = st.form_submit_button("Send")
84
 
85
+ # Chat logic
86
  if submit and user_input:
87
  system_prompt = (
88
+ f"Act as a statistics mentor with {exp.lower()} expertise. "
89
+ f"Answer in a friendly tone and within 150 words. "
90
+ f"If the question is not statistics-related, politely say it's out of scope."
91
  )
92
  messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
93
  result = stats_mentor.invoke(messages)
94
+ st.session_state[PAGE_KEY].append((user_input, result.content))
95
 
96
+ # Display chat history
97
  st.subheader("πŸ—¨οΈ Chat History")
98
+ for user, bot in st.session_state[PAGE_KEY]:
99
  st.markdown(f"**You:** {user}")
100
  st.markdown(f"**Mentor:** {bot}")
101
  st.markdown("---")