initial commit

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Create a Gradio interface
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Meta-Llama-3-8B Text Generation")
+
+iface.launch()

requirements.txt

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+transformers
+gradio