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| import gradio as gr | |
| import pandas as pd | |
| from bs4 import BeautifulSoup | |
| from typing import Tuple | |
| import src.few_shot_funcs as fsf | |
| import src.scrape as scrape | |
| def asin_to_pdp(asin_or_url: str) -> dict: | |
| if isinstance(asin_or_url, str) and len(asin_or_url) == 10: | |
| asin_url = 'https://www.amazon.com/dp/' + asin_or_url | |
| elif fsf.check_url_structure(asin_or_url): | |
| asin_url = asin_or_url | |
| else: | |
| raise gr.Error('You must provide a valid ASIN (10 char code) or URL') | |
| html = scrape.zyte_call(asin_url) | |
| asin_pdp = scrape.get_asin_pdp(BeautifulSoup(html, 'html.parser')) | |
| if not asin_pdp: | |
| raise gr.Error('Input URL not found (404)') | |
| elif not asin_pdp.get('title') or not asin_pdp.get('tech_data'): | |
| raise gr.Error("Couldn't fetch title or technical details from input URL") | |
| return asin_pdp | |
| def generate_bullets(title: str, tech_data: gr.DataFrame) -> str: | |
| tech_str = fsf.format_tech_as_str(tech_data) | |
| feature_bullets = fsf.generate_data(title=title, tech_process=tech_str, | |
| few_shot_df=fsf.FS_DS, vector_db=fsf.DB) | |
| return feature_bullets | |
| def asin_comparison(asin_or_url: str) -> Tuple[str, str]: | |
| asin_pdp = asin_to_pdp(asin_or_url) | |
| input_title = asin_pdp.get('title') | |
| tech_details = pd.DataFrame([(k, v) for k, v in asin_pdp.get('tech_data').items()]) | |
| feature_bullets = generate_bullets(input_title, tech_details) | |
| comparison_bullets = "## Original Bullets\n- " + '\n- '.join(asin_pdp.get('feature_bullets')) | |
| return feature_bullets, comparison_bullets | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown( | |
| """ | |
| ### Generate Product Feature-Bullets! | |
| - Input an Amazon ASIN or product URL (amazon.com URL only), or you can input your own data - a short title and techincal details\n | |
| - Hit "Generate" and watch the AI engine do its magic 🪄 🪄 | |
| """ | |
| ) | |
| with gr.Tab("Input ASIN"): | |
| with gr.Row(): | |
| asin_input = gr.Textbox(type="text", label="Enter Product ASIN / URL") | |
| with gr.Row(): | |
| clear_button = gr.ClearButton(components=asin_input, | |
| value='Clear', variant='primary') | |
| gen_button = gr.Button("Generate!") | |
| with gr.Row(): | |
| output = gr.Markdown() | |
| comparison_output = gr.Markdown() | |
| gen_button.click(fn=asin_comparison, inputs=asin_input, | |
| outputs=[output, comparison_output], show_progress=True) | |
| with gr.Tab("Input Data"): | |
| with gr.Row(): | |
| title_input = gr.Textbox(type="text", label="Enter Product Title") | |
| tech_input = gr.Dataframe(label='Enter Technical Details', | |
| headers=["Feature", "Value"], | |
| datatype=["str", "str"], | |
| row_count=(2, "dynamic"), | |
| col_count=(2, "static"), | |
| ) | |
| with gr.Row(): | |
| clear_button = gr.ClearButton(components=[title_input, tech_input], | |
| value='Clear', variant='primary') | |
| gen_button = gr.Button("Generate!") | |
| output = gr.Markdown() | |
| gen_button.click(fn=generate_bullets, inputs=[title_input, tech_input], outputs=output, | |
| show_progress=True) | |
| demo.launch() | |