Update app.py

app.py

@@ -20,6 +20,7 @@ warnings.filterwarnings("ignore", category=InconsistentVersionWarning)
 
 # Download NLTK resources
 nltk.download('punkt', quiet=True)
+nltk.download('punkt_tab', quiet=True)
 nltk.download('wordnet', quiet=True)
 nltk.download('omw-1.4', quiet=True)
 
@@ -60,7 +61,7 @@ class LuongAttention(tf.keras.layers.Layer):
         return config
 
 # Load model, tokenizer, label encoder from Hugging Face Hub
-model_path = hf_hub_download(repo_id="logasanjeev/sentiment-analysis-bilstm-luong", filename="sentiment_model.h5")
+model_path = hf_hub_download(repo_id="logasanjeev/sentiment-analysis-bilstm-luong", filename="sentiment_model_v3.h5")
 tokenizer_path = hf_hub_download(repo_id="logasanjeev/sentiment-analysis-bilstm-luong", filename="tokenizer.json")
 encoder_path = hf_hub_download(repo_id="logasanjeev/sentiment-analysis-bilstm-luong", filename="label_encoder.pkl")
 model = load_model(model_path, custom_objects={"LuongAttention": LuongAttention})
@@ -117,7 +118,7 @@ def predict_sentiment(text):
         cleaned
     )
 
-# Custom CSS for slick UI
+# Custom CSS for sleek UI
 css = """
 body { font-family: 'Arial', sans-serif; }
 .gradio-container { max-width: 800px; margin: auto; }
@@ -130,7 +131,7 @@ button { border-radius: 6px; }
 """
 
 # Gradio interface
-with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
+with gr.Blocks(theme="soft", css=css) as demo:
     gr.Markdown(
         """
         # Sentiment Analysis App
@@ -146,8 +147,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 lines=2
             )
             predict_btn = gr.Button("Analyze Sentiment", variant="primary")
-        with gr.Column(scale=1):
-            theme_toggle = gr.Button("Toggle Theme")
     
     output_text = gr.Markdown()
     prob_plot = gr.Label(label="Probability Distribution")
@@ -164,21 +163,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
         inputs=text_input
     )
     
-    # Theme toggle logic
-    def toggle_theme():
-        return {"theme": gr.themes.Dark()} if demo.theme.name == "soft" else {"theme": gr.themes.Soft()}
-    
-    # Bind functions
+    # Bind predict function
     predict_btn.click(
         fn=predict_sentiment,
         inputs=text_input,
         outputs=[output_text, prob_plot, cleaned_text]
     )
-    theme_toggle.click(
-        fn=toggle_theme,
-        inputs=None,
-        outputs=[demo]
-    )
     
     gr.Markdown(
         """