Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import os
+
+model_name = "scb10x/llama-3-typhoon-v1.5x-70b-instruct-awq"
+token = os.getenv("HF_TOKEN")
+
+tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=token)
+model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=token)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs.input_ids, max_length=50)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=generate_text, inputs="text", outputs="text").launch()