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Update pages/python.py
Browse files- pages/python.py +64 -24
pages/python.py
CHANGED
@@ -1,63 +1,103 @@
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import streamlit as st
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import os
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from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
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from langchain_core.messages import HumanMessage,
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# Load API token from environment
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hf = os.getenv('Data_science')
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os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
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os.environ['HF_TOKEN'] = hf
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#
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st.set_page_config(page_title="Python Mentor Chat", layout="centered")
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st.title("π Python Mentor Chat")
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#
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st.sidebar.title("Mentor Preferences")
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#
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repo_id='meta-llama/Llama-3.2-3B-Instruct',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=150,
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task='conversational'
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)
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llm=python_model_skeleton,
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repo_id='meta-llama/Llama-3.2-3B-Instruct',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=
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task='conversational'
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)
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if
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st.session_state
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#
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with st.form(key="chat_form"):
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user_input = st.text_input("Ask your question:")
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submit = st.form_submit_button("Send")
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#
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if submit and user_input:
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system_prompt = (
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f"
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f"
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f"If
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)
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messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
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result =
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st.session_state.
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#
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st.subheader("π¨οΈ Chat History")
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for user, bot in st.session_state
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st.markdown(f"**You:** {user}")
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st.markdown(f"**Mentor:** {bot}")
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st.markdown("---")
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import streamlit as st
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import os
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from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
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from langchain_core.messages import HumanMessage, SystemMessage
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hf = os.getenv('Data_science')
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os.environ['HUGGINGFACEHUB_API_TOKEN'] = hf
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os.environ['HF_TOKEN'] = hf
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# Page config
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st.set_page_config(page_title="Python Mentor Chat", layout="centered")
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# Inject home page CSS style
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st.markdown("""
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<style>
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.main {
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background: linear-gradient(135deg, #430089 0%, #82ffa1 100%);
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padding: 2rem;
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font-family: 'Segoe UI', sans-serif;
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}
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.stButton>button {
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background: #ffffff10;
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border: 2px solid #ffffff50;
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color: white;
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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);
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}
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.stButton>button:hover {
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background: #ffffff30;
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border-color: #fff;
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color: #ffffff;
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}
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h1, h3, p, label {
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color: #ffffff;
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text-align: center;
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}
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hr {
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border: 1px solid #ffffff50;
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margin: 2em 0;
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}
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.css-1aumxhk {
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color: white;
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}
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</style>
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""", unsafe_allow_html=True)
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# Title
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st.title("π Python Mentor Chat")
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# Sidebar
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st.sidebar.title("Mentor Preferences")
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experience_label = st.sidebar.selectbox(
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"Select your experience level:", ["Beginner", "Intermediate", "Experienced"]
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)
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# Initialize model
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deep_seek_skeleton = HuggingFaceEndpoint(
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repo_id='meta-llama/Llama-3.2-3B-Instruct',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=150,
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task='conversational'
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)
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deep_seek = ChatHuggingFace(
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llm=deep_seek_skeleton,
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repo_id='meta-llama/Llama-3.2-3B-Instruct',
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provider='sambanova',
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temperature=0.7,
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max_new_tokens=50,
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task='conversational'
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)
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PAGE_KEY = "python_chat_history"
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if PAGE_KEY not in st.session_state:
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st.session_state[PAGE_KEY] = []
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# Chat input form
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with st.form(key="chat_form"):
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user_input = st.text_input("Ask your question:")
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submit = st.form_submit_button("Send")
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# Chat logic
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if submit and user_input:
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system_prompt = (
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f"Act as a python mentor with {experience_label.lower()} experience. "
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f"Teach in a friendly manner and keep answers within 150 words. "
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f"If a question is not about python, politely mention it's out of scope."
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)
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messages = [SystemMessage(content=system_prompt), HumanMessage(content=user_input)]
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result = deep_seek.invoke(messages)
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st.session_state[PAGE_KEY].append((user_input, result.content))
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# Chat history
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st.subheader("π¨οΈ Chat History")
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for user, bot in st.session_state[PAGE_KEY]:
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st.markdown(f"**You:** {user}")
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st.markdown(f"**Mentor:** {bot}")
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st.markdown("---")
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