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Update app.py
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app.py
CHANGED
@@ -8,36 +8,39 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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import torch
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import gdown
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def load_model_from_gdrive():
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url = https://drive.google.com/drive/folders/19P3ZcWor8znyaOMJgx_gaHuOyf4alnP3?usp=drive_link # Replace with your actual Google Drive link
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output = 'model.zip'
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gdown.download(url, output, quiet=False)
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# Unzip the model
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import zipfile
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with zipfile.ZipFile(output, 'r') as zip_ref:
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zip_ref.extractall('model')
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# Load the model and tokenizer
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model = AutoModelForSeq2SeqLM.from_pretrained('model')
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tokenizer = AutoTokenizer.from_pretrained('model')
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return model, tokenizer
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model
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if st.button("Summarize"):
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if
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else:
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st.
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import torch
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import gdown
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import streamlit as st
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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# Load the model and tokenizer
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model_path = '.'
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
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summarizer = pipeline('summarization', model=model, tokenizer=tokenizer)
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st.title("Text Summarization with Fine-Tuned Model")
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st.write("Enter text to generate a summary using the fine-tuned summarization model.")
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text = st.text_area("Input Text", height=200)
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if st.button("Summarize"):
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if text:
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with st.spinner("Summarizing..."):
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summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
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st.success("Summary Generated")
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st.write(summary[0]['summary_text'])
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else:
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st.warning("Please enter some text to summarize.")
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if __name__ == "__main__":
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st.set_option('deprecation.showfileUploaderEncoding', False)
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st.markdown(
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"""
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<style>
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.reportview-container {
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flex-direction: row;
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justify-content: center;
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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