olamidegoriola pvanand commited on
Commit
1ced004
β€’
1 Parent(s): e4b011f

Fix : remove random sampling from bot response (#3)

Browse files

- Fix : remove random sampling from bot response (d35ece6b014a24149efb046d716c40b35cca0ed8)


Co-authored-by: Anand <[email protected]>

Files changed (1) hide show
  1. app.py +4 -2
app.py CHANGED
@@ -1,6 +1,5 @@
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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("Rasa Chatbot Interface")
@@ -27,11 +26,13 @@ if user_input := st.chat_input("What is up?"):
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  response = requests.post('https://omdenalc-omdena-ng-lagos-chatbot-model.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 + " "
@@ -39,5 +40,6 @@ if user_input := st.chat_input("What is up?"):
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  # Add a blinking cursor to simulate typing
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  message_placeholder.markdown(full_response + "β–Œ")
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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})
 
1
  import requests
2
  import streamlit as st
 
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  import time
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  st.title("Rasa Chatbot Interface")
 
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  response = requests.post('https://omdenalc-omdena-ng-lagos-chatbot-model.hf.space/webhooks/rest/webhook', json=payload)
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  bot_reply = response.json()
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+ # Extract assistant response
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+ assistant_response = bot_reply[0]["text"]
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+
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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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  # 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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  # Add a blinking cursor to simulate typing
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  message_placeholder.markdown(full_response + "β–Œ")
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  message_placeholder.markdown(full_response)
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+
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  # Add assistant response to chat history
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  st.session_state.messages.append({"role": "assistant", "content": full_response})