added classifier implementation and associated files

app.py

@@ -1,7 +1,48 @@
 import gradio as gr
+import numpy as np
+import tensorflow as tf
+from tokenizers import Tokenizer
+from tensorflow.keras.preprocessing.sequence import pad_sequences
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load trained tokenizer and model
+tokenizer = Tokenizer.from_file("cr_tokenizer.json")
+model = tf.keras.models.load_model("crv3.keras")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Tokenization function
+def tokenize_java_code(code: str, max_length=100):
+    """Tokenizes and pads Java code for model input."""
+    encoded = tokenizer.encode(code).ids
+    padded_sequence = pad_sequences([encoded], maxlen=max_length, padding="post")[0]
+    return np.array(padded_sequence).reshape(1, -1)  # Ensure correct shape for model
+
+# Prediction function
+def classify_code(input_text, input_file):
+    """Classifies Java code readability based on user input."""
+    # Load Java file if provided
+    if input_file is not None:
+        code = input_file.read().decode("utf-8")  # Read Java file as text
+    else:
+        code = input_text  # Use text input
+
+    if not code.strip():  # Ensure input is not empty
+        return "Please provide a Java code snippet."
+
+    # Tokenize and predict
+    tokenized_code = tokenize_java_code(code)
+    prediction = model.predict(tokenized_code)[0][0]
+
+    # Convert to readable/unreadable
+    return "Readable" if prediction > 0.5 else "Unreadable"
+
+# Create Gradio interface
+gr.Interface(
+    fn=classify_code,
+    inputs=[
+        gr.Textbox(lines=10, placeholder="Paste Java code here...", label="Java Code Snippet"),
+        gr.File(type="binary", label="Upload Java File (.java)")
+    ],
+    outputs=gr.Text(label="Readability Prediction"),
+    title="Java Code Readability Classifier",
+    description="Upload a Java file or paste a Java code snippet to check if it's readable or unreadable.",
+    allow_flagging="never"
+).launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+tensorflow
+tokenizers