Create app.py

app.py

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+from transformers import pipeline
+import streamlit as st
+
+# Set up Streamlit app title and page width
+st.set_page_config(page_title='Simple Chatbot with Streamlit', layout='wide')
+
+# Load conversational pipeline
+chatbot = pipeline("text2text-generation", model="facebook/blenderbot-400M-distill")
+
+# Initialize chat history in session state
+if 'chat_history' not in st.session_state:
+    st.session_state['chat_history'] = []
+
+# Define Streamlit app layout
+st.markdown("""
+<style>
+    body {
+        background-color: #f0f2f6;
+    }
+    .stApp {
+        max-width: 800px;
+        margin: auto;
+        padding-top: 50px;
+    }
+    .stTextInput {
+        margin-bottom: 20px;
+    }
+    .stButton button {
+        background-color: #4CAF50; /* Green */
+        border: none;
+        color: white;
+        padding: 15px 32px;
+        text-align: center;
+        text-decoration: none;
+        display: inline-block;
+        font-size: 16px;
+        margin: 4px 2px;
+        cursor: pointer;
+        border-radius: 5px;
+    }
+    .stButton button:hover {
+            background-color: #7EC0EE; /* Darker sky blue on hover */
+        }
+    .chat-container {
+        padding:6px;
+        border-radius: 5px;
+        overflow: hidden;
+        box-shadow: 0 4px 8px rgba(255, 255, 255, 0.3);
+        # border: 1px solid #d3d3d3;
+        overflow: hidden;
+    }
+    .user-message {
+        background-color: #4CAF50;
+        color: white;
+        padding: 10px 20px;
+        margin: 5px;
+        border-radius: 5px;
+        clear: both;
+        float: left;
+    }
+    .bot-message {
+        background-color: #f1f1f1;
+        color: black;
+        padding: 10px 20px;stButton
+        margin: 5px;
+        border-radius: 5px;
+        clear: both;
+        float: right;
+    }
+ 
+</style>
+""", unsafe_allow_html=True)
+
+# Define Streamlit app layout
+st.markdown("<h1 style='color: orange;'>💬 Chatbot</h1>", unsafe_allow_html=True)
+st.caption("🚀 Chat bot created By :- [Dinesh Abeysinghe (AI-ML Engineer)](https://www.linkedin.com/in/dinesh-abeysinghe-bb773293)")
+
+# Create text area for user input
+user_input = st.text_input("", placeholder="Your message")
+
+
+# Define Streamlit app behavior
+if st.button('Send'):
+    if not user_input.strip():  # Check if input is empty or whitespace
+        st.error('Please enter a chat')
+    else:
+        chat_history = st.session_state['chat_history']
+        chat_history.append({"role": "user", "message": user_input})
+
+        with st.spinner(text='Thinking ...'):
+            conversation_bot_result = chatbot(user_input)
+        
+        bot_response = conversation_bot_result[0]["generated_text"]
+        chat_history.append({"role": "bot", "message": bot_response})
+
+        # Update chat history in session state
+        st.session_state['chat_history'] = chat_history
+        
+ 
+# Create text area for chat history
+chat_area = st.empty()
+
+# Display the chat history with alternating user and bot messages
+chat_text = ""
+user_messages = [chat for chat in st.session_state['chat_history'] if chat['role'] == 'user']
+bot_messages = [chat for chat in st.session_state['chat_history'] if chat['role'] == 'bot']
+
+for user_chat, bot_chat in zip(reversed(user_messages), reversed(bot_messages)):
+    chat_text += f"<div class='user-message'>{user_chat['message']}</div>\n"
+    chat_text += f"<div class='bot-message'>{bot_chat['message']}</div>\n"
+
+# Add any remaining user messages if there are more user messages than bot messages
+for user_chat in reversed(user_messages[len(bot_messages):]):
+    chat_text += f"<div class='user-message'>{user_chat['message']}</div>\n"
+
+chat_area.markdown(f"<div class='chat-container'>{chat_text}</div>", unsafe_allow_html=True)