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| import gradio as gr | |
| from summarizer import NarrativeSummarizer | |
| # Initialize summarizer instance (can specify model etc here) | |
| summarizer = NarrativeSummarizer() | |
| def run_summarization(file, prompt_type, iterations): | |
| if not file: | |
| return "β Error: No file uploaded." | |
| try: | |
| iterations = int(iterations) | |
| if iterations < 1: | |
| return "β Error: Iterations must be >= 1." | |
| except ValueError: | |
| return "β Error: Iterations must be an integer." | |
| try: | |
| # Run summarization | |
| summary = summarizer.process_file(file.name, prompt_type, iterations) | |
| return summary | |
| except Exception as e: | |
| return f"β Error: {str(e)}" | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Narrative Summarizer") | |
| with gr.Row(): | |
| file_input = gr.File(label="Upload your .txt file") | |
| prompt_dropdown = gr.Dropdown( | |
| choices=["Bread Only", "Butter Only", "Bread and Butter"], | |
| value="Bread Only", | |
| label="Select Prompt Type" | |
| ) | |
| iterations_input = gr.Number(value=1, label="Iterations", precision=0, minimum=1) | |
| output_text = gr.Textbox(label="Summary Output", lines=15) | |
| run_button = gr.Button("Summarize") | |
| run_button.click( | |
| fn=run_summarization, | |
| inputs=[file_input, prompt_dropdown, iterations_input], | |
| outputs=output_text | |
| ) | |
| demo.launch() | |