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Update app.py
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app.py
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import streamlit as st
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import requests
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import
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#
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st.
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payload = {"sender": "user", "message": user_input}
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response = requests.post('https://pvanand-rasa-moodbot.hf.space/webhooks/rest/webhook', json=payload)
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bot_reply = response.json()
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# Display
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import requests
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import streamlit as st
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import random
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import time
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st.title("Simple chat")
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# Initialize chat history
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat messages from history on app rerun
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Accept user input
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if user_input := st.chat_input("What is up?"):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": user_input})
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# Display user message in chat message container
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with st.chat_message("user"):
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st.markdown(user_input)
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# Send user input to Rasa webhook
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payload = {"sender": "user", "message": user_input}
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response = requests.post('https://pvanand-rasa-moodbot.hf.space/webhooks/rest/webhook', json=payload)
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bot_reply = response.json()
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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message_placeholder = st.empty()
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full_response = ""
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assistant_response = random.choice(bot_reply)["text"]
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# Simulate stream of response with milliseconds delay
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for chunk in assistant_response.split():
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full_response += chunk + " "
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time.sleep(0.05)
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# Add a blinking cursor to simulate typing
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message_placeholder.markdown(full_response + "▌")
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message_placeholder.markdown(full_response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": full_response})
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