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Update app.py
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app.py
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@@ -1,19 +1,17 @@
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from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
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model_name = "Hadeel11/fine-tuned-model-2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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model.half()
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text_generator = TextGenerationPipeline(model=model, tokenizer=tokenizer)
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def generate_text(prompt):
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return text_generator(prompt, max_length=512, num_return_sequences=1)[0]['generated_text']
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iface = Interface(fn=generate_text, inputs="text", outputs="text", title="Text Generation Inference")
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iface.launch()
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from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
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import gradio as gr
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model_name = "Hadeel11/fine-tuned-model-2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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text_generator = TextGenerationPipeline(model=model, tokenizer=tokenizer)
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def generate_text(prompt):
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return text_generator(prompt, max_length=512, num_return_sequences=1)[0]['generated_text']
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iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Text Generation Inference")
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iface.launch()
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