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Browse files- app.py +15 -0
- requirements.txt +7 -0
app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Chargez votre modèle Mistral
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model = AutoModelForCausalLM.from_pretrained("Nac31/Sacha-Mistral-0")
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tokenizer = AutoTokenizer.from_pretrained("Nac31/Sacha-Mistral-0")
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def predict(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(inputs["input_ids"], max_length=100)
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return tokenizer.decode(outputs[0])
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# Interface Gradio
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interface = gr.Interface(fn=predict, inputs="text", outputs="text")
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interface.launch()
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requirements.txt
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transformers
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torch
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accelerate
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datasets
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sentencepiece
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tokenizers
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gradio
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