| import openai |
| import streamlit as st |
|
|
| |
| with st.sidebar: |
| openai_api_key = st.text_input("Clé API OpenAI", key="chatbot_api_key", type="password") |
| st.markdown("[Obtenez une clé API OpenAI](https://platform.openai.com/account/api-keys)") |
| st.markdown("[Voir le code source](https://github.com/streamlit/llm-examples/blob/main/Chatbot.py)") |
| st.markdown("[](https://codespaces.new/streamlit/llm-examples?quickstart=1)") |
|
|
| |
| st.title("💬 Chatbot") |
| st.caption("🚀 Un chatbot Streamlit propulsé par OpenAI") |
|
|
| |
| if "messages" not in st.session_state: |
| st.session_state["messages"] = [{"role": "assistant", "content": "Comment puis-je vous aider ?"}] |
|
|
| |
| for msg in st.session_state.messages: |
| st.chat_message(msg["role"]).write(msg["content"]) |
|
|
| |
| if prompt := st.chat_input(): |
| if not openai_api_key: |
| st.info("Veuillez ajouter votre clé API OpenAI pour continuer.") |
| st.stop() |
|
|
| |
| st.session_state.messages.append({"role": "user", "content": prompt}) |
| st.chat_message("user").write(prompt) |
|
|
| |
| openai.api_key = openai_api_key |
| response = openai.ChatCompletion.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) |
|
|
