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Download app.py from kubrabuzlu/LLMsIntro: direct link, hf CLI and curl.
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- Download file 683 Bytes
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https://huggingface.co/spaces/kubrabuzlu/LLMsIntro/resolve/main/app.py
- Command line
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hf download hf://spaces/kubrabuzlu/LLMsIntro/app.py
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curl -L -o app.py https://huggingface.co/spaces/kubrabuzlu/LLMsIntro/resolve/main/app.py
683 Bytes
| import streamlit as st | |
| from langchain_huggingface import HuggingFaceEndpoint | |
| import os | |
| api_key = os.environ.get("HUGGINGFACEHUB_API_TOKEN") | |
| def load_answer(question): | |
| llm = HuggingFaceEndpoint( | |
| repo_id = "mistralai/Mistral-7B-Instruct-v0.3" | |
| ) | |
| answer = llm.invoke(question) | |
| return answer | |
| st.set_page_config(page_title="LangChain Demo", page_icon=":robot:") | |
| st.header("LangChain Demo") | |
| def get_text(): | |
| input_text = st.text_input("You: ", key="input") | |
| return input_text | |
| user_input = get_text() | |
| if user_input != "": | |
| response = load_answer(user_input) | |
| submit = st.button('Generate') | |
| if submit: | |
| st.subheader("Answer:") | |
| st.write(response) |