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https://github.com/VinciGit00/Scrapegraph-ai.git
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d291819be3
Fixes #752 Fix the issue with loading the tokenizer for 'gpt2'. * **scrapegraphai/utils/tokenizer.py** - Add a check for `GPT2TokenizerFast` in the `num_tokens_calculus` function. - Import `GPT2TokenizerFast` from `transformers`. * **scrapegraphai/utils/tokenizers/tokenizer_ollama.py** - Modify the `num_tokens_ollama` function to handle `GPT2TokenizerFast`. * **tests/graphs/smart_scraper_ollama_test.py** - Add a test case to verify the tokenizer loading for `GPT2TokenizerFast`. --- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/ScrapeGraphAI/Scrapegraph-ai/issues/752?shareId=XXXX-XXXX-XXXX-XXXX).
62 lines
1.4 KiB
Python
62 lines
1.4 KiB
Python
"""
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Module for testing th smart scraper class
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"""
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import pytest
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from scrapegraphai.graphs import SmartScraperGraph
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from transformers import GPT2TokenizerFast
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@pytest.fixture
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def graph_config():
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"""
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Configuration of the graph
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"""
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return {
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"llm": {
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"model": "ollama/mistral",
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"temperature": 0,
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"format": "json",
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"base_url": "http://localhost:11434",
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}
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}
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def test_scraping_pipeline(graph_config: dict):
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"""
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Start of the scraping pipeline
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"""
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smart_scraper_graph = SmartScraperGraph(
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prompt="List me all the news with their description.",
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source="https://perinim.github.io/projects",
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config=graph_config
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)
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result = smart_scraper_graph.run()
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assert result is not None
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def test_get_execution_info(graph_config: dict):
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"""
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Get the execution info
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"""
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smart_scraper_graph = SmartScraperGraph(
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prompt="List me all the news with their description.",
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source="https://perinim.github.io/projects",
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config=graph_config
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)
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smart_scraper_graph.run()
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graph_exec_info = smart_scraper_graph.get_execution_info()
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assert graph_exec_info is not None
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def test_gpt2_tokenizer_loading():
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"""
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Test loading of GPT2TokenizerFast
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"""
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tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
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assert tokenizer is not None
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