Create app_senti_65130701707.py

app_senti_65130701707.py

@@ -1,35 +0,0 @@
-import streamlit as st
-from transformers import pipeline
-
-# Load the sentiment analysis model
-model_name = "poom-sci/WangchanBERTa-finetuned-sentiment"
-sentiment_analyzer = pipeline('sentiment-analysis', model=model_name)
-
-# Streamlit app
-st.title("Thai Sentiment Analysis App")
-
-# Input text
-text_input = st.text_area("Enter Thai text for sentiment analysis", "ขอความเห็นหน่อย... ")
-
-# Button to trigger analysis
-if st.button("Analyze Sentiment"):
-    # Analyze sentiment using the model
-    results = sentiment_analyzer([text_input])
-
-    # Extract sentiment and score
-    sentiment = results[0]['label']
-    score = results[0]['score']
-
-
-    # Display result as progress bars
-    st.subheader("Sentiment Analysis Result:")
-
-    if sentiment == 'pos':
-        st.success(f"Positive Sentiment (Score: {score:.2f})")
-        st.progress(score)
-    elif sentiment == 'neg':
-        st.error(f"Negative Sentiment (Score: {score:.2f})")
-        st.progress(score)
-    else:
-        st.warning(f"Neutral Sentiment (Score: {score:.2f})")
-        st.progress(score)