Update app.py

app.py

@@ -27,42 +27,27 @@ def detect_sarcasm(sentence):
     predicted_class = torch.argmax(logits, dim=-1).item()
     return "Sarcasm" if predicted_class == 1 else "Not Sarcasm"
 
-# Combined function for text file pipeline
+# Combined function for processing sentences
 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())
-        if sentiment == "Positive":
+        if sentiment == "Negative":
+            processed_sentences.append(f"'{sentence}' -> Sentiment: Negative")
+        else:
             sarcasm_result = detect_sarcasm(sentence.strip())
             if sarcasm_result == "Sarcasm":
-                processed_sentences.append(f"'{sentence}' -> Sentiment: Negative (due to sarcasm)")
+                processed_sentences.append(f"'{sentence}' -> Sentiment: Negative (Sarcastic Positive)")
             else:
                 processed_sentences.append(f"'{sentence}' -> Sentiment: Positive")
-        else:
-            processed_sentences.append(f"'{sentence}' -> Sentiment: Negative")
     
     return "\n".join(processed_sentences)
 
-# Simple user interface for sarcasm detection
-def sarcasm_detection_interface(input_text):
-    sentences = input_text.split("\n")
-    predictions = []
-    
-    for sentence in sentences:
-        sentiment = analyze_sentiment(sentence.strip())
-        if sentiment == "Negative":
-            predictions.append(f"'{sentence}' -> Not Sarcastic (Direct Negative Sentiment)")
-        else:
-            sarcasm_result = detect_sarcasm(sentence.strip())
-            predictions.append(f"'{sentence}' -> {sarcasm_result}")
-    
-    return "\n".join(predictions)
-
 # Gradio UI
 interface = gr.Interface(
-    fn=sarcasm_detection_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",