Update app.py

app.py

@@ -3,18 +3,22 @@ import os
 os.environ['CUDA_VISIBLE_DEVICES'] = '-1'  # Force TensorFlow to use CPU only
 os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # Suppress all TensorFlow messages
-os.environ['GRADIO_HOT_RELOAD'] = 'false'  # Disable Gradio hot reload to avoid the error # You have no Nvidia GPU and Cuda
+os.environ['GRADIO_HOT_RELOAD'] = 'false'  # Disable Gradio hot reload
 os.environ['WRAPT_DISABLE_EXTENSIONS'] = 'true'
 
 import re
 import nltk
 import pickle
 import string
+import warnings
 import numpy as np
 import gradio as gr
 from keras.models import load_model
 from keras.preprocessing.sequence import pad_sequences
 
+# Suppress warnings
+warnings.filterwarnings('ignore')
+
 # Constants
 MAX_LEN = 100
 MODEL_PATH = "sentiment_analysis_best.keras"
@@ -24,50 +28,21 @@ nltk.download('stopwords', quiet=True)
 
 # Expand common English contractions
 def expand_contractions(text):
-    """Expand common English contractions"""
     contractions = {
-        "i'm": "i am",
-        "you're": "you are",
-        "he's": "he is",
-        "she's": "she is",
-        "it's": "it is",
-        "we're": "we are",
-        "they're": "they are",
-        "i've": "i have",
-        "you've": "you have",
-        "we've": "we have",
-        "they've": "they have",
-        "i'll": "i will",
-        "you'll": "you will",
-        "he'll": "he will",
-        "she'll": "she will",
-        "we'll": "we will",
-        "they'll": "they will",
-        "i'd": "i would",
-        "you'd": "you would",
-        "he'd": "he would",
-        "she'd": "she would",
-        "we'd": "we would",
-        "they'd": "they would",
-        "don't": "do not",
-        "doesn't": "does not",
-        "didn't": "did not",
-        "can't": "cannot",
-        "couldn't": "could not",
-        "won't": "will not",
-        "wouldn't": "would not",
-        "shouldn't": "should not",
-        "isn't": "is not",
-        "aren't": "are not",
-        "wasn't": "was not",
-        "weren't": "were not",
-        "hasn't": "has not",
-        "haven't": "have not",
-        "hadn't": "had not",
-        "mightn't": "might not",
-        "mustn't": "must not",
-        "needn't": "need not",
-        "shan't": "shall not"
+      "i'm": "i am", "you're": "you are", "he's": "he is",
+      "she's": "she is", "it's": "it is", "we're": "we are",
+      "they're": "they are", "i've": "i have", "you've": "you have",
+      "we've": "we have", "they've": "they have", "i'll": "i will",
+      "you'll": "you will", "he'll": "he will", "she'll": "she will",
+      "we'll": "we will", "they'll": "they will", "i'd": "i would",
+      "you'd": "you would", "he'd": "he would", "she'd": "she would",
+      "we'd": "we would", "they'd": "they would", "don't": "do not",
+      "doesn't": "does not", "didn't": "did not", "can't": "cannot",
+      "couldn't": "could not", "won't": "will not", "wouldn't": "would not",
+      "shouldn't": "should not", "isn't": "is not", "aren't": "are not",
+      "wasn't": "was not", "weren't": "were not", "hasn't": "has not",
+      "haven't": "have not", "hadn't": "had not", "mightn't": "might not",
+      "mustn't": "must not", "needn't": "need not", "shan't": "shall not"
     }
     for contraction, expansion in contractions.items():
         text = re.sub(r'\b' + contraction + r'\b', expansion, text, flags=re.IGNORECASE)
@@ -118,7 +93,7 @@ def load_resources():
         return model, tokenizer
     except FileNotFoundError as e:
         print(f"✗ Error: Model or Tokenizer file not found!")
-        print(f" Make sure {MODEL_PATH} AND {TOKENIZER_PATH} are in the same directory.")
+        print(f"  Make sure {MODEL_PATH} AND {TOKENIZER_PATH} are in the same directory.")
         raise e
     except Exception as e:
         print(f"✗ Error loading resources: {e}")
@@ -157,12 +132,16 @@ def predict_sentiment(text):
     # Create detailed results
     detailed_results = f"""
 ### 📊 Detailed Analysis:
+
 **Original Text:** {text}
+
 **Processed Text:** {processed_text}
+
 **Prediction Probabilities:**
 - 😞 Negative: {pred[0][0] * 100:.2f}%
 - 😊 Positive: {pred[0][1] * 100:.2f}%
 - 😐 Neutral: {pred[0][2] * 100:.2f}%
+
 **Final Sentiment:** {sentiment}
 **Confidence:** {confidence_percentage}
 """
@@ -195,7 +174,7 @@ def create_gradio_interface():
         ["I'm okay"]
     ]
     
-    # Create interface - theme removed to avoid Gradio 6.0 warning
+    # Create interface
     with gr.Blocks(title="Sentiment Analysis") as interface:
         # Header
         gr.Markdown("""
@@ -288,30 +267,18 @@ if __name__ == "__main__":
     interface = create_gradio_interface()
     
     # Launch with configuration
-    try:
-        interface.launch(
-            server_name="0.0.0.0",
-            server_port=7860,
-            share=False,
-            show_error=True,
-            ssr_mode=False,
-            debug=True,
-            theme=gr.themes.Soft()
-        )
-    except Exception as e:
-        print("Server shutdown cleanup warning ignored:", e)
-    # interface.launch(
-    #     server_name="0.0.0.0",
-    #     server_port=7860,
-    #     share=False,
-    #     show_error=True,
-    #     ssr_mode=False,
-    #     debug=True,
-    #     theme=gr.themes.Soft()
-    # )
+    interface.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,
+        show_error=True,
+        ssr_mode=False,
+        theme=gr.themes.Soft(),
+        quiet=True  # Suppress server messages
+    )
     
     print("\n" + "=" * 70)
     print("✓ Interface is running!")
-    print(" Local URL: http://localhost:7860")
-    print(" Press Ctrl+C to stop the server")
+    print("  Local URL: http://localhost:7860")
+    print("  Press Ctrl+C to stop the server")
     print("=" * 70)