Create app.py

app.py

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+import streamlit as st
+
+# Placeholder for the chatbot's response function
+def get_bot_response(user_input):
+    # Here, you would integrate your chatbot's backend
+    # For demonstration purposes, we'll use a simple echo response
+    return f"Bot: You said '{user_input}'"
+
+# Streamlit app layout
+st.title("Chatbot Interface")
+st.write("Welcome to the chatbot. How can I assist you today?")
+
+# Session state to store the conversation
+if 'conversation' not in st.session_state:
+    st.session_state.conversation = []
+
+# Input box for user
+user_input = st.text_input("You:", "")
+
+if st.button("Send"):
+    if user_input:
+        # Get bot response
+        bot_response = get_bot_response(user_input)
+
+        # Append both user input and bot response to conversation
+        st.session_state.conversation.append(f"You: {user_input}")
+        st.session_state.conversation.append(bot_response)
+
+        # Clear the input box
+        st.experimental_rerun()
+
+# Display conversation
+for line in st.session_state.conversation:
+    st.write(line)