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import streamlit as st
from textblob import TextBlob # Install using: pip install textblob
def feed_back():
# Collect user feedback
st.write("---")
st.write("### Chatbot Feedback")
feedback = st.text_area("Additional Feedback:")
if st.button("Submit Feedback"):
# Show thank you message after submitting feedback
st.success("Thank you for your feedback!")
# Perform sentiment analysis on the provided feedback
predict_sentiment(feedback)
# Optionally, save or store feedback data
# feedback_data = {
# "rating": rating,
# "feedback": feedback,
# }
# st.write("Feedback Data:", feedback_data)
return feedback
def predict_sentiment(feedback):
if feedback: # Only perform sentiment analysis if feedback is provided
# Analyze sentiment
analysis = TextBlob(feedback)
sentiment_score = analysis.sentiment.polarity
# Predict sentiment
if sentiment_score > 0:
sentiment = "Positive 😊"
elif sentiment_score < 0:
sentiment = "Negative 😞"
else:
sentiment = "Neutral 😐"
# Display sentiment analysis result
st.write(f"Sentiment Analysis Result: **{sentiment}**")
# st.write(f"Sentiment Score: {sentiment_score}")
# Running the feedback function
# feed_back()
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