added app.py

app.py

@@ -0,0 +1,43 @@
+import requests
+import streamlit as st
+import random
+import time
+
+st.title("Rasa Chatbot Interface")
+
+# 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"])
+
+# Accept user input
+if user_input := st.chat_input("What is up?"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": user_input})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(user_input)
+
+    # Send user input to Rasa webhook
+    payload = {"sender": "user", "message": user_input}
+    response = requests.post('https://pvanand-rasa-moodbot.hf.space/webhooks/rest/webhook', json=payload)
+    bot_reply = response.json()
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        assistant_response = random.choice(bot_reply)["text"]
+        # Simulate stream of response with milliseconds delay
+        for chunk in assistant_response.split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": full_response})