debug2

app.py

@@ -9,7 +9,7 @@ chatgpt_roberta_detector = pipeline("text-classification", model="Models/fine_tu
 
 def classify_text(text):
     # Get predictions from each model
-    roberta_base_pred = roberta_base_detector(text)[0]['label']
+    roberta_base_pred = 1 if roberta_base_detector(text)[0]['label'] == "Fake" else: 0
     chatgpt_lli_hc3_pred = chatgpt_lli_hc3_detector(text)[0]['label']
     chatgpt_roberta_pred = chatgpt_roberta_detector(text)[0]['label']
 
@@ -23,14 +23,14 @@ def classify_text(text):
 
     # Determine final decision based on majority
     if votes["AI"] > votes["Human"]:
-        return roberta_base_pred
+        return chatgpt_lli_hc3_pred
     else:
-        return roberta_base_pred
+        return chatgpt_lli_hc3_pred
 
 # Create Gradio Interface
 iface = gr.Interface(
     fn=classify_text, 
-    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence to classify..."),  # Corrected this line
+    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence to classify..."),
     outputs="text"
 )