Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("dbddv01/gpt2-french-small")
+model = AutoModelForCausalLM.from_pretrained("dbddv01/gpt2-french-small")
+
+def repondre(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=100, pad_token_id=tokenizer.eos_token_id)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(fn=repondre, inputs="text", outputs="text", title="Assistant IA GPT-2 (FR)")
+iface.launch()