Update app.py

app.py

@@ -1,3 +1,29 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-gr.load("models/meta-llama/Meta-Llama-3-8B").launch()
+# Load model and tokenizer
+model_name = "models/meta-llama/Meta-Llama-3-8B"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Define function to translate code
+def translate_code(input_code, prompt=""):
+    # Combine input code and prompt
+    input_text = f"{prompt}\n\n{input_code}"
+    # Tokenize input text
+    input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=1024, truncation=True)
+    # Generate output sequence
+    output = model.generate(input_ids, max_length=1024, num_return_sequences=1, temperature=0.7)
+    # Decode output sequence
+    translated_code = tokenizer.decode(output[0], skip_special_tokens=True)
+    return translated_code
+
+# Launch Gradio interface
+gr.Interface(
+    fn=translate_code,
+    inputs=["text", "text"],
+    outputs="text",
+    title="AI Code Translator",
+    description="Translate your code using Meta-Llama-3-8B model.",
+    theme="compact"
+).launch()