updated

app.py

@@ -1,7 +1,12 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-def greet(name):
-    return "Hello " + name + "!!"
+model = AutoModelForCausalLM.from_pretrained("mlabonne/Llama-3.1-70B-Instruct-lorablated")
+tokenizer = AutoTokenizer.from_pretrained("mlabonne/Llama-3.1-70B-Instruct-lorablated")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def generateText(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=100)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=generateText, inputs="text", outputs="text").launch()