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| from transformers import pipeline | |
| import gradio as gr | |
| summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True, framework="tf") | |
| def analyze_text(text): | |
| # here text line of code is optional | |
| text = text.replace('"', '""') | |
| text = text.replace(''', "''") | |
| text = text.replace('&', "&") | |
| result = summarizer(text, min_length=180, truncation=True) | |
| return result[0]['summary_text'] | |
| iface = gr.Interface( | |
| fn=analyze_text, | |
| inputs=gr.Textbox(placeholder="Enter or paste your Text and press Submit."), | |
| outputs="text" | |
| ) | |
| iface.launch(share=True) | |