Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_id = "codellama/CodeLlama-34b-hf"  # You can change to 13b or 34b if you have the hardware
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto")
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def generate_code(prompt):
+    output = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.7)
+    return output[0]["generated_text"]
+
+gr.Interface(fn=generate_code, inputs="text", outputs="text", title="Code Llama Playground").launch()