Update app.py

app.py

@@ -1,14 +1,14 @@
 # Use a pipeline as a high-level helper
 
-
+from transformers import pipeline
 import gradio as gr
 # importer joblib
 import joblib
-model__=joblib.load('model.joblib')
-tokenizer__=joblib.load("tokenizer.joblib")
+model=joblib.load('model.joblib')
+tokenizer=joblib.load("tokenizer.joblib")
 def blagueur(prompt):
-    inputs = tokenizer__(prompt, return_tensors="pt", truncation=True, padding="max_length", max_length=128)
-    outputs = model__.generate(
+    inputs = tokenizer(prompt, return_tensors="pt", truncation=True, padding="max_length", max_length=128)
+    outputs = model.generate(
         input_ids=inputs["input_ids"],
         attention_mask=inputs["attention_mask"],
         max_length=64,
@@ -16,7 +16,7 @@ def blagueur(prompt):
         do_sample=True,
         temperature=0.9
     )
-    return tokenizer__.decode(outputs[0], skip_special_tokens=True)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
 
 # Configuration de l'interface Gradio