Updated model

app.py

@@ -39,6 +39,9 @@ def classify_code(input_text, input_file):
     tokenized_code = tokenize_java_code(cleaned_code)
     prediction = model.predict(tokenized_code)[0][0]
 
+    threshold = 0.525 # Increase the threshold for "Readable"
+    prediction = (prediction > threshold).astype(int)  # Convert probabilities to binary
+
     # Convert to readable/unreadable
     return "Readable" if prediction > 0.5 else "Unreadable"
 

crv3.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81c3f7e7710a64be868392a28d5a91f91aef0bdde24c43147ac99b09edba0cb4
-size 11959524
+oid sha256:da8d9f9c0924cdf329c5a6ef6ac51827944788a238e521fb44b06b87b7d48a8d
+size 11959228