Update src/pages/model.py
Browse files- src/pages/model.py +98 -12
src/pages/model.py
CHANGED
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@@ -7,25 +7,109 @@ os.environ['HUGGINGFACEHUB_API_TOKEN'] = os.getenv("key")
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os.environ['HF_TOKEN'] = os.getenv("key")
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st.set_page_config(page_title="π¨βπ« Multi-Mentor Chat", page_icon="π§ ")
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st.title("π§ Multi-Topic Mentor")
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st.markdown("
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mentor_type = st.selectbox("Choose a mentor:", ["", "python", "machine_learning", "deep_learning", "stats", "data_anaylasis", "sql and powerbi"])
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if mentor_type:
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st.subheader(f"π§ {mentor_type.upper()} Mentor Chat")
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experience = st.slider("Your experience (in years):", 0, 20, 1)
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output_container = st.empty()
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@@ -41,7 +125,7 @@ if mentor_type:
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model = HuggingFaceEndpoint(repo_id="meta-llama/Llama-3.3-70B-Instruct", provider="nebius", temperature=0.5, max_new_tokens=150, task="conversational")
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elif mentor_type == "sql and powerbi":
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model = HuggingFaceEndpoint(repo_id="meta-llama/Meta-Llama-3-70B-Instruct", provider="hyperbolic", temperature=0.5, max_new_tokens=150, task="conversational")
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chat_model = ChatHuggingFace(
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llm=model,
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repo_id=model.repo_id,
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@@ -51,7 +135,8 @@ if mentor_type:
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task="conversational"
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)
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if st.button("Ask") and user_input:
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prompt = ChatPromptTemplate.from_messages([
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SystemMessagePromptTemplate.from_template(
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@@ -69,3 +154,4 @@ if mentor_type:
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if st.button("Clear Output"):
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output_container.empty()
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os.environ['HF_TOKEN'] = os.getenv("key")
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st.set_page_config(page_title="π¨βπ« Multi-Mentor Chat", page_icon="π§ ")
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# --- Custom CSS for styling ---
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st.markdown("""
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<style>
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body {
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background: linear-gradient(135deg, #1f2937, #111827);
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color: #e0e7ff;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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h1, h2, h3 {
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text-align: center;
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color: #00FFFF;
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text-shadow: 0 0 12px #00FFFFaa;
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font-weight: 700;
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margin-bottom: 0.5rem;
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}
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.mentor-columns div {
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text-align: center;
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padding: 10px 0;
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font-weight: 600;
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font-size: 1rem;
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border-radius: 8px;
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user-select: none;
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}
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.mentor-columns .col1 { color: #00FF00; } /* Green */
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.mentor-columns .col2 { color: #FFA500; } /* Orange */
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.mentor-columns .col3 { color: #1E90FF; } /* Dodger Blue */
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.mentor-columns .col4 { color: #8A2BE2; } /* BlueViolet */
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.mentor-columns .col5 { color: #FFD700; } /* Gold */
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.mentor-columns .col6 { color: #FF4500; } /* OrangeRed */
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.selectbox-container {
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max-width: 400px;
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margin: 0 auto 15px auto;
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}
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.slider-container {
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max-width: 400px;
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margin: 15px auto 20px auto;
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}
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.input-container {
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max-width: 700px;
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margin: 10px auto 30px auto;
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}
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.button-row {
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text-align: center;
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margin-bottom: 30px;
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}
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button.stButton > button {
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background: linear-gradient(90deg, #00FFFF, #00CCFF);
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border: none;
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padding: 12px 30px;
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color: #111;
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font-weight: 700;
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border-radius: 25px;
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box-shadow: 0 0 12px #00FFFFcc;
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transition: transform 0.3s ease, box-shadow 0.3s ease;
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}
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button.stButton > button:hover {
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transform: scale(1.1);
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box-shadow: 0 0 20px #00FFFFee;
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}
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.output-container {
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max-width: 700px;
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margin: 0 auto 40px auto;
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background: rgba(0, 255, 255, 0.1);
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padding: 20px;
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border-radius: 15px;
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box-shadow: 0 0 12px #00FFFF55;
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white-space: pre-wrap;
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font-size: 1.1rem;
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line-height: 1.4;
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color: #e0f7ff;
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min-height: 80px;
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}
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</style>
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""", unsafe_allow_html=True)
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# --- Title and Mentor Labels ---
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st.title("π§ Multi-Topic Mentor")
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st.markdown('<div class="mentor-columns" style="display:flex; justify-content: space-around; margin-bottom:15px;">'
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'<div class="col1">π’ Python</div>'
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'<div class="col2">π ML</div>'
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'<div class="col3">π΅ DL</div>'
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'<div class="col4">π£ Stats</div>'
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'<div class="col5">π‘ Data_Analysis</div>'
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'<div class="col6">π΄ SQL & PowerBI</div>'
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'</div>', unsafe_allow_html=True)
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# --- Mentor selectbox ---
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st.markdown('<div class="selectbox-container">', unsafe_allow_html=True)
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mentor_type = st.selectbox("Choose a mentor:", ["", "python", "machine_learning", "deep_learning", "stats", "data_anaylasis", "sql and powerbi"])
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st.markdown('</div>', unsafe_allow_html=True)
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if mentor_type:
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st.subheader(f"π§ {mentor_type.upper()} Mentor Chat")
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st.markdown('<div class="slider-container">', unsafe_allow_html=True)
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experience = st.slider("Your experience (in years):", 0, 20, 1)
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st.markdown('</div>', unsafe_allow_html=True)
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st.markdown('<div class="input-container">', unsafe_allow_html=True)
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user_input = st.text_input("Ask your question:")
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st.markdown('</div>', unsafe_allow_html=True)
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output_container = st.empty()
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model = HuggingFaceEndpoint(repo_id="meta-llama/Llama-3.3-70B-Instruct", provider="nebius", temperature=0.5, max_new_tokens=150, task="conversational")
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elif mentor_type == "sql and powerbi":
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model = HuggingFaceEndpoint(repo_id="meta-llama/Meta-Llama-3-70B-Instruct", provider="hyperbolic", temperature=0.5, max_new_tokens=150, task="conversational")
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chat_model = ChatHuggingFace(
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llm=model,
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repo_id=model.repo_id,
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task="conversational"
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)
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# Buttons row
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st.markdown('<div class="button-row">', unsafe_allow_html=True)
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if st.button("Ask") and user_input:
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prompt = ChatPromptTemplate.from_messages([
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SystemMessagePromptTemplate.from_template(
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if st.button("Clear Output"):
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output_container.empty()
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st.markdown('</div>', unsafe_allow_html=True)
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