Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 3 |
+
|
| 4 |
+
MODEL_NAME = "meta-llama/Llama-3.2-1B-Instruct"
|
| 5 |
+
|
| 6 |
+
# Charger modèle et tokenizer UNE SEULE FOIS
|
| 7 |
+
print("Chargement du modèle...")
|
| 8 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 9 |
+
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
|
| 10 |
+
|
| 11 |
+
def chat(prompt):
|
| 12 |
+
inputs = tokenizer(prompt, return_tensors="pt")
|
| 13 |
+
outputs = model.generate(
|
| 14 |
+
**inputs,
|
| 15 |
+
max_new_tokens=200,
|
| 16 |
+
do_sample=True,
|
| 17 |
+
temperature=0.7
|
| 18 |
+
)
|
| 19 |
+
return tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 20 |
+
|
| 21 |
+
iface = gr.Interface(
|
| 22 |
+
fn=chat,
|
| 23 |
+
inputs=gr.Textbox(lines=5, placeholder="Écris ton message ici..."),
|
| 24 |
+
outputs=gr.Textbox(),
|
| 25 |
+
title="Assistant IA (Llama 3.2 1B CPU)",
|
| 26 |
+
)
|
| 27 |
+
|
| 28 |
+
if __name__ == "__main__":
|
| 29 |
+
iface.launch()
|