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| import openai | |
| import streamlit as st | |
| from PIL import Image | |
| st.title("Nally's Neck of the Woods") | |
| # Streamlit Secrets | |
| openai.api_key = st.secrets["OPENAI_API_KEY"] | |
| grounding = st.secrets["GROUNDING"] | |
| image = Image.open('logo.png') | |
| st.image(image) | |
| if "openai_model" not in st.session_state: | |
| st.session_state["openai_model"] = "gpt-3.5-turbo" | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| st.session_state.messages.append({"role": "system", "content": grounding}) | |
| for message in st.session_state.messages: | |
| if message["role"] != "system": | |
| with st.chat_message(message["role"]): | |
| st.markdown(message["content"]) | |
| if prompt := st.chat_input("How can I help you today?"): | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| with st.chat_message("user"): | |
| st.markdown(prompt) | |
| with st.chat_message("assistant"): | |
| message_placeholder = st.empty() | |
| full_response = "" | |
| for response in openai.ChatCompletion.create( | |
| model=st.session_state["openai_model"], | |
| messages=[ | |
| {"role": m["role"], "content": m["content"]} | |
| for m in st.session_state.messages | |
| ], | |
| stream=True, | |
| ): | |
| full_response += response.choices[0].delta.get("content", "").replace('\\$','$').replace('$','\\$') | |
| message_placeholder.markdown(full_response + "▌") | |
| message_placeholder.markdown(full_response) | |
| print(full_response) | |
| st.session_state.messages.append({"role": "assistant", "content": full_response}) |