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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+imdb_reviews.csv filter=lfs diff=lfs merge=lfs -text

app_senti_65130700324.py

@@ -0,0 +1,37 @@
+
+
+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)

imdb_reviews.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94752f1d468e32222c9190c99dc1758a2e81ec6ad5e76528fe4ce31d3edd495c
+size 66262304