Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Set up page title and icon
+st.set_page_config(page_title="🎭 Roleplay Chatbot", page_icon="🤖")
+
+# Load pre-trained chatbot model from Hugging Face
+chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium")
+
+st.title("🎭 Roleplay AI Chatbot")
+st.write("Chat with an AI character!")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state["messages"] = []
+
+# Display chat history
+for message in st.session_state["messages"]:
+    avatar = "🧙‍♂️" if message["role"] == "assistant" else "🧑‍💻"
+    with st.chat_message(message["role"], avatar=avatar):
+        st.markdown(message["content"])
+
+# User input field
+user_input = st.chat_input("Type your message...")
+
+if user_input:
+    # Add user input to chat history
+    st.session_state["messages"].append({"role": "user", "content": user_input})
+
+    # Show typing animation
+    with st.chat_message("assistant", avatar="🧙‍♂️"):
+        with st.spinner("Typing..."):
+            response = chatbot(user_input, max_length=100, do_sample=True, temperature=0.7)
+            bot_reply = response[0]["generated_text"]
+            st.markdown(bot_reply)
+
+    # Save bot response to chat history
+    st.session_state["messages"].append({"role": "assistant", "content": bot_reply})