Add files

.gitignore

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+# Ignore the .env file containing secrets
+.env
+
+# Ignore Python cache directories
+__pycache__/
+
+# Ignore other unwanted files
+*.pyc
+.DS

app.py

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+import streamlit as st
+import html
+from openai import OpenAI
+import os
+
+# Load environment variables
+from dotenv import load_dotenv
+
+load_dotenv()
+api_key = os.getenv("OPENAI_API_KEY")
+
+# Initialize the OpenAI client
+client = OpenAI(api_key=api_key)
+
+def openai_chat(prompt, chat_log):
+    context_messages = [
+                           {"role": "system", "content": """You are a gifted C++ professor. You explain complex C++ 
+                           concepts clearly using words that a 
+    college student would understand, and generate typical exam questions for a C++ course. After a few questions, 
+    three or four, check in with the student to ask if you are helpful and if the student is prepared for the exam 
+    or stuck on a particular topic, or just needs a cram session before the exam. Be supportive and motivational. 
+    Suggest getting a good night's sleep and eating properly before the exam when saying goodbye. After answering 
+    a question from the student, suggest three or four C++ final exam questions and related topics when asked anything."""
+                            },
+                           {"role": "user", "content": "Explain recursion in C++ programming."}
+                       ] + chat_log + [{"role": "user", "content": prompt}]
+
+    try:
+        completion = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=context_messages,
+            max_tokens=500
+        )
+        response_text = html.unescape(completion.choices[0].message.content)
+        chat_log.append({"role": "assistant", "content": response_text})
+        return response_text, chat_log
+    except Exception as e:
+        return str(e), chat_log
+
+
+def format_response(answer):
+    # Only apply Markdown to code responses
+    if 'int main()' in answer or '#include' in answer or 'std::' in answer:
+        code_block = "```cpp\n" + answer + "\n```"
+        return code_block
+    return answer
+
+
+def main():
+    st.title("Professor CplusPlus")
+    st.write("Ask any question about C++, and I'll explain!")
+
+    if 'chat_log' not in st.session_state:
+        st.session_state.chat_log = []
+
+    if 'history' not in st.session_state:
+        st.session_state.history = ""
+
+    user_input = st.text_input("Type your question here:", key="user_input")
+
+    if st.button("Ask") and user_input:
+        answer, st.session_state.chat_log = openai_chat(user_input, st.session_state.chat_log)
+        formatted_answer = format_response(answer)
+        new_entry = f"Q: {user_input}\n\nA: {formatted_answer}\n\n"
+        st.session_state.history = new_entry + st.session_state.history
+        st.rerun()  # Using the updated rerun method
+
+    st.write("Chat History:")
+    st.markdown(st.session_state.history, unsafe_allow_html=True)
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit
+python-dotenv
+openai