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Update pages/python.py
Browse files- pages/python.py +44 -1
pages/python.py
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import streamlit as st
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import streamlit as st
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import os
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import langchain
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import langchain_huggingface
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from langchain_huggingface import HuggingFaceEndpoint,HuggingFacePipeline,ChatHuggingFace
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deep_seek_skeleton = HuggingFaceEndpoint(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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deep_seek = ChatHuggingFace(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=150,
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task = 'conversational')
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exp = ['<1', '1', '2', '3', '4', '5', '5+']
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if exp == '<1':
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experince = 'New bie mentor'
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elif exp == '1':
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experince = '1'
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elif exp == '2':
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experince = '2'
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elif exp == '3':
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experince = '3'
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elif exp == '4':
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experince = '4'
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elif exp == '5':
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experince = '5'
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elif exp == '5+'
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experince = 'professional'
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user_input = st.text_input("Enter your query:")
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message = [SystemMessage(content='act as expert for creating a dashboard in streamlit using hugging face'),
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HumanMessage(content=user_input)]
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