Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "meta-llama/CodeLlama-7b-hf"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=200)
+    code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return code
+
+# Set up the Gradio interface
+demo = gr.Interface(fn=generate_code, 
+             inputs="text", 
+             outputs="text", 
+             title="CodeLlama 7B Model",
+             description="Generate code with CodeLlama-7b-hf.").launch()
+
+
+demo.launch()