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Scrapegraph-ai/examples/gemini
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EURAC\marperini 8fba7e5490 feat(refactor): changed variable names
2024-04-30 14:28:30 +02:00
..
inputs add json examples 2024-04-29 11:16:48 +02:00
.env.example refactoring if examples ffolder 2024-04-08 22:28:55 +02:00
custom_graph_gemini.py added execution info of the graph, time, price etc 2024-04-11 14:29:32 +02:00
json_scraper_gemini.py feat(refactor): changed variable names 2024-04-30 14:28:30 +02:00
readme.md add examples 2024-04-11 12:17:04 +02:00
scrape_plain_text_gemini.py add benchmarks and benchmarks results 2024-04-17 20:30:24 +02:00
scrape_xml_gemini.py add benchmarks and benchmarks results 2024-04-17 20:30:24 +02:00
script_generator_gemini.py add json and xml scraper 2024-04-30 10:52:22 +02:00
search_graph_gemini.py add examples for local models and gemini models 2024-04-09 11:43:51 +02:00
smart_scraper_gemini.py add info for gemini example 2024-04-22 22:52:40 +02:00
xml_scraper_openai.py feat(refactor): changed variable names 2024-04-30 14:28:30 +02:00

readme.md

This folder contains an example of how to use ScrapeGraph-AI with Gemini, a large language model (LLM) from Google AI. The example shows how to extract information from a website using a natural language prompt.