Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B")
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B")
+
+def generate_text(prompt):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=50, num_return_sequences=1)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+iface.launch()