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app.py

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+import streamlit as st
+import openai
+import os
+
+# Set up OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+st.title("Coding Interview Bot")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Function to generate response using OpenAI API
+def generate_response(prompt):
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": "You are a coding interview bot. Your task is to ask coding interview questions, evaluate responses, and provide feedback."},
+            {"role": "user", "content": prompt}
+        ],
+        max_tokens=1000,
+        temperature=0.7,
+    )
+    return response.choices[0].message['content']
+
+# React to user input
+if prompt := st.chat_input("What's your coding question?"):
+    # Display user message in chat message container
+    st.chat_message("user").markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+    # Generate response
+    response = generate_response(prompt)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        st.markdown(response)
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+st.sidebar.markdown("""
+## About
+This is a coding interview bot powered by OpenAI's GPT-3.5-turbo.
+Ask coding questions and get responses to help you prepare for interviews!
+""")