Naman Pundir commited on
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150c844
1 Parent(s): 8ba0e95

Create app.py

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  1. app.py +26 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+
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+ # Load the text summarization model
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+ model_name = "Aiyan99/Theus_eleuther_1.3B_concepttagging"
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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+
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+ # Define the Gradio interface
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+ def summarize_text(input_text):
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+ # Tokenize and generate summary
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+ input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=1024, truncation=True)
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+ summary_ids = model.generate(input_ids, max_length=150, min_length=40, length_penalty=2.0, num_beams=4, early_stopping=True)
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+ summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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+ return summary
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+
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+ iface = gr.Interface(
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+ fn=summarize_text,
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+ inputs="text",
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+ outputs="text",
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+ title="Concept Tagger",
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+ description="Concept tag your text using Aiyan99's Theus model (1.3B Concept Tagging).",
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+ )
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+
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+ if __name__ == "__main__":
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+ iface.launch()