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Update app.py
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app.py
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@@ -1,27 +1,8 @@
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import os
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import gdown
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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# Define Google Drive file IDs and corresponding file names
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files = {
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'vocab.json': '1b0lO8qDUE6N36yXZzokpCTCG-13GO8Nx',
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'merges.txt': '1R2W6k7iHlkzoxLmd1pMQZ9Y7phHjaLFk',
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'config.json': '1U5PzBzLyWhs5Z1smW5w7P-PsJZJ_JB1c',
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'generation_config.json': '1GqkR8f_TMCN8Qls4YmK5E7YtP8V9IW27',
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'special_tokens_map.json': '1R4MkInjvH_u6IrW_RR1vc_R5nUQV-J5S',
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'tokenizer_config.json': '1l4OGiYwJ4GR9RMIvMX8f8xSkbMC_76v7',
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'training_args.bin': '1YPDBwO6Q1cszH_K1bVwXkZn7BtI5G2Ex'
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}
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# Download files from Google Drive
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for file_name, file_id in files.items():
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url = f'https://drive.google.com/uc?id={file_id}'
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output = file_name
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gdown.download(url, output, quiet=False)
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# Load the model and tokenizer
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model_path = '.' # Path to the current directory where files are
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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# Load the model and tokenizer
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model_path = '.' # Path to the current directory where files are located
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
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