Create app.py

app.py

@@ -0,0 +1,56 @@
+import streamlit as st
+import openai
+import os
+
+# Set up OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")  # Replace with your OpenAI API key if not using an environment variable
+
+# Function to query OpenAI
+def query_openai(prompt, model="gpt-3.5-turbo"):
+    try:
+        response = openai.ChatCompletion.create(
+            model=model,
+            messages=prompt,
+            max_tokens=200,
+            temperature=0.7,
+        )
+        return response["choices"][0]["message"]["content"]
+    except Exception as e:
+        return f"Error: {e}"
+
+# Streamlit app
+st.title("Simple OpenAI Chatbot")
+
+# Initialize the chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = [{"role": "system", "content": "You are a helpful assistant."}]
+
+# Display chat history
+for message in st.session_state.messages:
+    if message["role"] == "user":
+        st.markdown(f"**You:** {message['content']}")
+    elif message["role"] == "assistant":
+        st.markdown(f"**Bot:** {message['content']}")
+
+# User input
+user_input = st.text_input("Type your message:")
+
+# Handle user input
+if st.button("Send"):
+    if user_input.strip():
+        # Add user input to chat history
+        st.session_state.messages.append({"role": "user", "content": user_input})
+
+        # Get bot response
+        bot_response = query_openai(st.session_state.messages)
+
+        # Add bot response to chat history
+        st.session_state.messages.append({"role": "assistant", "content": bot_response})
+
+        # Display updated chat history
+        st.experimental_rerun()
+
+# Clear chat
+if st.button("Clear Chat"):
+    st.session_state.messages = [{"role": "system", "content": "You are a helpful assistant."}]
+    st.experimental_rerun()