Rename untitled3.py to app.py

untitled3.py → app.py

@@ -269,7 +269,6 @@ def email_analysis_pipeline(email_text):
 
 ## Gradio Interface
 
-!pip install gradio
 import gradio as gr
 
 # Create Gradio Interface
@@ -394,26 +393,3 @@ button:hover {
     box-shadow: 2px 2px 5px rgba(0, 0, 0, 0.2);
 }
 """
-
-## Original
-
-from sklearn.metrics import classification_report
-
-# Collect predictions and true labels
-y_true = []
-y_pred = []
-
-model.eval()
-with torch.no_grad():
-    for batch in val_loader:
-        inputs = {key: val.to(device) for key, val in batch.items()}
-        labels = inputs.pop("labels").to(device)
-
-        outputs = model(**inputs)
-        predictions = torch.argmax(outputs.logits, dim=1)
-
-        y_true.extend(labels.cpu().numpy())
-        y_pred.extend(predictions.cpu().numpy())
-
-# Print detailed classification report
-print(classification_report(y_true, y_pred, target_names=["Ham", "Spam"]))