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Update app.py
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app.py
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from openai import OpenAI
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import streamlit as st
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import os
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#
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openai_api_key = os.getenv("OPENAI_API_KEY")
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if not openai_api_key:
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st.error("No OpenAI API key found. Please set the OPENAI_API_KEY environment variable.")
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st.stop()
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#
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#
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if "messages" not in st.session_state:
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st.session_state["messages"] = [
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#
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for
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prompt = st.
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if prompt:
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st.session_state.messages.append({"role": "user", "content": prompt})
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st.chat_message("user").write(prompt)
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#
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with st.spinner('
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client = OpenAI(api_key=openai_api_key)
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response = client.chat.completions.create(model=
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st.session_state.messages.append({"role": "assistant", "content":
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st.chat_message("assistant").write(msg)
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from openai import OpenAI
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import streamlit as st
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import os
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# Configuration de la page et vérification de la clé API
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st.set_page_config(page_title="Chat with AI", layout="wide")
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openai_api_key = os.getenv("OPENAI_API_KEY")
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if not openai_api_key:
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st.error("No OpenAI API key found. Please set the OPENAI_API_KEY environment variable.")
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st.stop()
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# Lecture du message système à partir d'un fichier texte
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try:
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with open("system_message.txt", "r") as file:
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system_message = file.read().strip()
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except FileNotFoundError:
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st.error("The system message file was not found. Please make sure 'system_message.txt' exists.")
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st.stop()
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# Initialisation des messages dans l'état de session avec un message système
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if "messages" not in st.session_state or st.button("Restart Conversation"):
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st.session_state["messages"] = [
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{"role": "system", "content": system_message},
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{"role": "assistant", "content": "Hello, how can I assist you today?"}
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]
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# Affichage des messages précédents
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for message in st.session_state["messages"]:
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if message["role"] == "user":
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st.text_area("You", value=message["content"], height=100, disabled=True)
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elif message["role"] == "assistant":
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st.text_area("Assistant", value=message["content"], height=100, disabled=True)
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# Entrée pour de nouveaux prompts
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prompt = st.text_input("Enter your question:")
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if prompt:
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# Ajout du nouveau message utilisateur à l'état de session
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Indication que le modèle génère une réponse
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with st.spinner('AI is thinking...'):
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client = OpenAI(api_key=openai_api_key)
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response = client.chat.completions.create(model='gpt-4-turbo', messages=st.session_state.messages)
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assistant_response = response.choices[0].message.content
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# Ajout et affichage de la réponse de l'assistant
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st.session_state.messages.append({"role": "assistant", "content": assistant_response})
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