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Update app.py
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app.py
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@@ -3,11 +3,11 @@ import gradio as gr
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import joblib
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# Configuration de base
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model_name = "facebook/bart-base"
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output_dir = "./bart_blagueur_model"
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# Tokenizer et modèle
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tokenizer = BartTokenizer.from_pretrained(model_name)
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model = BartForConditionalGeneration.from_pretrained(model_name)
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model__ = joblib.load("model.joblib")
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tokenizer_ = joblib.load("tokenizer.joblib")
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@@ -20,7 +20,7 @@ def blagueur(prompt):
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num_beams=5,
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do_sample=True,
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temperature=0.9)
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return
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# Configuration de l'interface Gradio
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demo = gr.Interface(
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fn=blagueur,
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import joblib
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# Configuration de base
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# model_name = "facebook/bart-base"
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# output_dir = "./bart_blagueur_model"
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# # Tokenizer et modèle
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# tokenizer = BartTokenizer.from_pretrained(model_name)
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# model = BartForConditionalGeneration.from_pretrained(model_name)
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model__ = joblib.load("model.joblib")
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tokenizer_ = joblib.load("tokenizer.joblib")
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num_beams=5,
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do_sample=True,
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temperature=0.9)
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return tokenizer_.decode(outputs[0], skip_special_tokens=True)
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# Configuration de l'interface Gradio
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demo = gr.Interface(
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fn=blagueur,
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