Update app.py

app.py

@@ -5,19 +5,26 @@ import os  # Import the os module
 # Fetch the API key from an environment variable
 openai_api_key = os.getenv("OPENAI_API_KEY")
 
-st.title("💬 Chatbot")
-st.caption("")
+# Select model using a dropdown
+model_choice = st.selectbox('Choose a model:', ['gpt-4-turbo','gpt-3.5-turbo', 'gpt-3.5-turbo-0125','gpt-3.5-turbo-1106','gpt-3.5-turbo-0613','gpt-3.5-turbo-16k-0613','gpt-3.5-turbo-16k','gpt-4-turbo-2024-04-09','gpt-4-turbo-preview', 'gpt-4-0125-preview','gpt-4-1106-preview','gpt-4-0613'])
+
+# Lecture du message système à partir d'un fichier texte
+try:
+    with open("system_message.txt", "r") as file:
+        system_message = file.read().strip()
+except FileNotFoundError:
+    st.error("The system message file was not found. Please make sure 'system_message.txt' exists.")
+    st.stop()
 
 # Initialize session state for storing messages if it doesn't already exist
 if "messages" not in st.session_state:
-    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]
+    st.session_state["messages"] = [{"role": "system", "content": system_message},
+{"role": "assistant", "content": "How can I help you?"}]
 
 # Display all previous messages
 for msg in st.session_state.messages:
     st.chat_message(msg["role"]).write(msg["content"])
 
-# Select model using a dropdown
-model_choice = st.selectbox('Choose a model:', ['gpt-3.5-turbo', 'gpt-4', 'davinci', 'curie'])
 
 # Input for new prompts
 prompt = st.chat_input("Enter your question:")
@@ -31,11 +38,11 @@ if prompt:
     st.chat_message("user").write(prompt)
 
     # Use a spinner to indicate that the model is generating a response
-    with st.spinner('Thinking...'):
+    with st.spinner('PromptingAI is Thinking...'):
         client = OpenAI(api_key=openai_api_key)
         response = client.chat.completions.create(model=model_choice, messages=st.session_state.messages)
         msg = response.choices[0].message.content
 
     # Append and display the assistant's response
     st.session_state.messages.append({"role": "assistant", "content": msg})
-    st.chat_message("assistant").write(msg)
+    st.chat_message("assistant").write(msg)