Update app.py

app.py

@@ -31,29 +31,61 @@ def detect_sarcasm(sentence):
 def process_text_pipeline(text):
     sentences = text.split("\n")  # Split text into multiple sentences
     processed_sentences = []
-    
+
     for sentence in sentences:
-        sentiment = analyze_sentiment(sentence.strip())
+        sentence = sentence.strip()
+        if not sentence:
+            continue  # Skip empty lines
+
+        sentiment = analyze_sentiment(sentence)
         if sentiment == "Negative":
-            processed_sentences.append(f"'{sentence}' -> Sentiment: Negative")
+            processed_sentences.append(f"❌ '{sentence}' -> Sentiment: Negative")
         else:
-            sarcasm_result = detect_sarcasm(sentence.strip())
+            sarcasm_result = detect_sarcasm(sentence)
             if sarcasm_result == "Sarcasm":
-                processed_sentences.append(f"'{sentence}' -> Sentiment: Negative (Sarcastic Positive)")
+                processed_sentences.append(f"⚠️ '{sentence}' -> Sentiment: Negative (Sarcastic Positive)")
             else:
-                processed_sentences.append(f"'{sentence}' -> Sentiment: Positive")
-    
+                processed_sentences.append(f"✅ '{sentence}' -> Sentiment: Positive")
+
     return "\n".join(processed_sentences)
 
-# Gradio UI
-interface = gr.Interface(
-    fn=process_text_pipeline,
-    inputs=gr.Textbox(lines=10, placeholder="Enter one or more sentences, each on a new line."),
-    outputs="text",
-    title="Sarcasm Detection for Customer Reviews",
-    description="This web app analyzes customer reviews for sentiment and detects sarcasm for positive reviews.",
-)
+# Improved Gradio UI
+with gr.Blocks(css=".gradio-container {background-color: #f3f4f6; color: #333; font-family: 'Arial';}") as interface:
+    gr.Markdown(
+        """
+        <h1 style='text-align: center; font-size: 36px;'>🌟 Sarcasm Detection for Customer Reviews 🌟</h1>
+        <p style='text-align: center; font-size: 18px;'>This web app analyzes customer reviews for sentiment and detects sarcasm in positive reviews.</p>
+        """
+    )
+    
+    with gr.Tab("Text Input"):
+        with gr.Row():
+            text_input = gr.Textbox(
+                lines=10,
+                label="Enter Sentences",
+                placeholder="Enter one or more sentences, each on a new line."
+            )
+            result_output = gr.Textbox(label="Results", lines=10, interactive=False)
+        analyze_button = gr.Button("🔍 Analyze", elem_id="analyze-button")
+
+        analyze_button.click(process_text_pipeline, inputs=text_input, outputs=result_output)
+
+    with gr.Tab("Upload Text File"):
+        file_input = gr.File(label="Upload Text File")
+        file_output = gr.Textbox(label="Results", lines=10, interactive=False)
+
+        def process_file(file):
+            text = file.read().decode("utf-8")
+            return process_text_pipeline(text)
+
+        file_input.change(process_file, inputs=file_input, outputs=file_output)
+
+    gr.Markdown(
+        """
+        <p style='text-align: center;'>Made with ❤️ by <a href='https://huggingface.co/dnzblgn' target='_blank'>dnzblgn</a></p>
+        """
+    )
 
 # Run the interface
 if __name__ == "__main__":
-    interface.launch()
+    interface.launch()