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| import gradio as gr | |
| import io | |
| from bertopic import BERTopic | |
| input = gr.File(label="Input Text File") | |
| output = gr.Textbox(label="Detected Topics") | |
| topic_model = BERTopic() | |
| def detect_topics(file): | |
| if file is not None: | |
| text = file.read() | |
| text = text.decode('utf-8') | |
| topics, probs = topic_model.fit_transform(texts) | |
| df_topic = topic_model.get_topic_info() | |
| #df_topic.to_csv('topics.csv') | |
| return (topic_model.visualize_topics()) | |
| #UI file | |
| iface = gr.Interface(fn=detect_topics, inputs=input, outputs=output) | |
| iface.launch(debug=True) |