Upload app.py

app.py

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+from openai import OpenAI
+
+client = OpenAI(api_key='OPENAI_API_KEY')
+import streamlit as st
+
+# Add your OpenAI API key here
+
+# Streamlit title
+st.title("Data Science Instructor Chatbot")
+
+# System prompt
+system_prompt = """
+You are a data science instructor. You help students with topics related to data science, machine learning, and artificial intelligence.
+You respond to questions patiently, with clear explanations and a teaching approach. 
+"""
+
+# Session state to store messages
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+
+# Display messages
+for message in st.session_state.messages:
+    with st.chat_message(message['role']):
+        st.markdown(message['content'])
+
+# Get user input
+if prompt := st.chat_input("Type your question here..."):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # OpenAI API call
+    response = client.chat.completions.create(model="gpt-3.5-turbo",
+    messages=[
+        {"role": "system", "content": system_prompt},
+        *st.session_state.messages
+    ])
+
+    # Store and display the response
+    response_message = response.choices[0].message.content
+    st.session_state.messages.append({"role": "assistant", "content": response_message})
+    with st.chat_message("assistant"):
+        st.markdown(response_message)