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jputhalath
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12e2fc9
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Parent(s):
eb0735d
Create app.py
Browse files
app.py
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import gradio
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import torch
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelWithLMHead
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username = "jputhalath" # change it to your HuggingFace username
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model_path = username + '/MedQnA_Model'
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tokenizer_path = username + '/MedQnA_Tokenizer'
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loaded_model = AutoModelWithLMHead.from_pretrained(model_path)
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loaded_tokenizer = AutoTokenizer.from_pretrained(tokenizer_path)
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def generate_query_response(prompt, max_length=200):
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model = loaded_model
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tokenizer = loaded_tokenizer
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input_ids = tokenizer.encode(prompt, return_tensors="pt") # 'pt' for returning pytorch tensor
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# Create the attention mask and pad token id
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attention_mask = torch.ones_like(input_ids)
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pad_token_id = tokenizer.eos_token_id
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output = model.generate(
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input_ids,
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max_length=max_length,
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num_return_sequences=1,
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attention_mask=attention_mask,
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pad_token_id=pad_token_id
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)
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return tokenizer.decode(output[0], skip_special_tokens=True)
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iface = gradio.Interface(fn=generate_query_response,
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inputs="text",
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outputs="text",
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title = "MedQnA Application")
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iface.launch()
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