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app.py ADDED
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+ import streamlit as st
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+ from simpletransformers.question_answering import QuestionAnsweringModel
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+
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+ # Load your model
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+ model_path = "best_model"
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+ model = QuestionAnsweringModel("bert", model_path, use_cuda=False)
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+
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+ # Streamlit app
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+ st.title("Question Answering Model (DistilBERT)")
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+
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+ # Input fields
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+ context = st.text_area("Context:")
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+ question = st.text_input("Question:")
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+
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+ # Prediction button
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+ if st.button("Predict"):
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+ to_predict = [{"context": context, "qas": [{"question": question, "id": "0"}]}]
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+ try:
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+ answers, _ = model.predict(to_predict, n_best_size=1)
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+ if answers and 'answer' in answers[0]:
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+ st.text("Answer:")
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+ st.write(f"<span style='color:cyan; font-weight:bold'>{answers[0]['answer'][0]}</span>", unsafe_allow_html=True)
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+ else:
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+ st.text("No answer found.")
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+ except Exception as e:
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+ st.error(f"An error occurred: {str(e)}")
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+
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+
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+ st.header("Sample Context:")
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+ st.write("During the Renaissance period in Europe, the Medici family played a crucial role in fostering artistic and intellectual advancements. Their patronage of artists and scholars in Florence contributed significantly to the flourishing of Renaissance culture.")
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+ st.write(f"Question: <span style='color:yellow;'>What family was influential during the Renaissance?</span>", unsafe_allow_html=True)
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+ st.write(f"Answer: <span style='color:red;'>Medici family</span>", unsafe_allow_html=True)
best_model/config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-cased-distilled-squad",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForQuestionAnswering"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": true,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ "vocab_size": 28996
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+ }
best_model/eval_results.txt ADDED
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+ correct = 4
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+ eval_loss = -7.7420594692230225
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+ incorrect = 1
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+ similar = 0
best_model/model.safetensors ADDED
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best_model/model_args.json ADDED
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best_model/optimizer.pt ADDED
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best_model/tokenizer_config.json ADDED
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best_model/vocab.txt ADDED
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requirements.txt ADDED
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+ streamlit
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+ simpletransformers
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+ torch
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+ transformers