Update app.py

app.py

@@ -1,13 +1,17 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 import subprocess
 
 # Load a code-generation model with support for multiple languages
-code_generator = pipeline("text2text-generation", model="bigcode/t5-code-generation")
+MODEL_NAME = "Salesforce/codet5-small"
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)
 
 def generate_code(description, language):
     prompt = f"Generate {language} code: {description}"
-    response = code_generator(prompt, max_length=400)[0]['generated_text']
+    inputs = tokenizer(prompt, return_tensors="pt", padding=True, truncation=True)
+    outputs = model.generate(**inputs, max_length=400)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response.strip()
 
 def execute_code(code, language):