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Update app.py
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app.py
CHANGED
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@@ -107,14 +107,12 @@ def adapt_model(model:object, dim:int=1024) -> object:
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--model_name', type=str, default="Salesforce/codet5p-770m")
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parser.add_argument('--
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parser.add_argument('--path_checkpoint2', type=str, default="multilingual_standard.bin")
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args = parser.parse_args()
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model_name = args.model_name
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checkpoint2 = args.path_checkpoint2
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DEVICE = "cpu"
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@@ -142,13 +140,13 @@ def main():
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selected = option_menu(
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menu_title="Choose your model",
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options=["Multilingual_multiprovenance"
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default_index=0,
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orientation="horizontal",
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)
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if selected=="Multilingual_standard":
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model.load_state_dict(torch.load(
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model = model.eval()
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st.title("Human-AI stylometer - Multilingual_standard")
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text = st.text_area("insert your code here")
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@@ -158,17 +156,7 @@ def main():
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out= model(torch.tensor(input.input_ids),torch.tensor(input.attention_mask))
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#st.json(out)
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st.write(out["my_class"])
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model.load_state_dict(torch.load(checkpoint1,map_location='cpu'))
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model = model.eval()
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st.title("Human-AI stylometer - Multilingual_multiprovenance")
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text = st.text_area("insert your code here")
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button = st.button("send")
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if button or text:
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input = tokenizer([text])
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out= model(torch.tensor(input.input_ids),torch.tensor(input.attention_mask))
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#st.json(out)
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st.write(out["my_class"])
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--model_name', type=str, default="Salesforce/codet5p-770m")
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parser.add_argument('--path_checkpoint', type=str, default="checkpoint.bin")
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args = parser.parse_args()
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model_name = args.model_name
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checkpoint = args.path_checkpoint
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DEVICE = "cpu"
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selected = option_menu(
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menu_title="Choose your model",
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options=["Multilingual_multiprovenance"],
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default_index=0,
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orientation="horizontal",
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)
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if selected=="Multilingual_standard":
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model.load_state_dict(torch.load(checkpoint,map_location='cpu'))
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model = model.eval()
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st.title("Human-AI stylometer - Multilingual_standard")
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text = st.text_area("insert your code here")
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out= model(torch.tensor(input.input_ids),torch.tensor(input.attention_mask))
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#st.json(out)
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st.write(out["my_class"])
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