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Download app.py from Zak421/entityextract: direct link, hf CLI and curl.
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- Download file 1.03 kB
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https://huggingface.co/spaces/Zak421/entityextract/resolve/main/app.py
- Command line
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hf download hf://spaces/Zak421/entityextract/app.py
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curl -L -o app.py https://huggingface.co/spaces/Zak421/entityextract/resolve/main/app.py
1.03 kB
| from openai import OpenAI | |
| import streamlit as st | |
| with st.sidebar: | |
| "[View the source code](https://github.com/sazakir/docbot/blob/dev/main.py)" | |
| openai_api_key = st.text_input("OpenAI API Key", key="chatbot_api_key", type="password") | |
| st.title("π¬ Document Bot") | |
| st.caption("π A streamlit document chatbot powered by OpenAI LLM") | |
| if "messages" not in st.session_state: | |
| st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}] | |
| for msg in st.session_state.messages: | |
| st.chat_message(msg["role"]).write(msg["content"]) | |
| if prompt := st.chat_input(): | |
| client = OpenAI(api_key=openai_api_key) | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| st.chat_message("user").write(prompt) | |
| response = client.chat.completions.create(model="gpt-3.5-turbo", messages=st.session_state.messages) | |
| msg = response.choices[0].message.content | |
| st.session_state.messages.append({"role": "assistant", "content": msg}) | |
| st.chat_message("assistant").write(msg) | |