ollama pull<\/code> \u547d\u4ee4\u4e0b\u8f7d\u6a21\u578b\u3002<\/p>\nfrom scrapegraphai.graphs import SmartScraperGraph\n\ngraph_config = {\n "llm": {\n "model": "ollama\/mistral",\n "temperature": 0,\n "format": "json", # Ollama \u9700\u8981\u663e\u5f0f\u6307\u5b9a\u683c\u5f0f\n "base_url": "http:\/\/localhost:11434", # \u8bbe\u7f6e Ollama URL\n },\n "embeddings": {\n "model": "ollama\/nomic-embed-text",\n "base_url": "http:\/\/localhost:11434", # \u8bbe\u7f6e Ollama URL\n },\n "verbose": True,\n}\n\nsmart_scraper_graph = SmartScraperGraph(\n prompt="List me all the projects with their descriptions",\n # \u4e5f\u63a5\u53d7\u5df2\u4e0b\u8f7d\u7684 HTML \u4ee3\u7801\u7684\u5b57\u7b26\u4e32\n source="https:\/\/perinim.github.io\/projects",\n config=graph_config\n)\n\nresult = smart_scraper_graph.run()\nprint(result)<\/code><\/pre>\n\u8f93\u51fa\u5c06\u662f\u4e00\u4e2a\u5305\u542b\u9879\u76ee\u53ca\u5176\u63cf\u8ff0\u7684\u5217\u8868\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
{'projects': [{'title': 'Rotary Pendulum RL', 'description': 'Open Source project aimed at controlling a real life rotary pendulum using RL algorithms'}, {'title': 'DQN Implementation from scratch', 'description': 'Developed a Deep Q-Network algorithm to train a simple and double pendulum'}, ...]}<\/code><\/pre>\n\u6848\u4f8b 2: \u4f7f\u7528\u6df7\u5408\u6a21\u578b\u7684 SearchGraph<\/h3>\n
\u6211\u4eec\u4f7f\u7528 Groq<\/strong> \u4f5c\u4e3a LLM\uff0c\u4f7f\u7528 Ollama<\/strong> \u4f5c\u4e3a\u5d4c\u5165\u6a21\u578b\u3002<\/p>\nfrom scrapegraphai.graphs import SearchGraph\n\n# \u5b9a\u4e49\u56fe\u7684\u914d\u7f6e\ngraph_config = {\n "llm": {\n "model": "groq\/gemma-7b-it",\n "api_key": "GROQ_API_KEY",\n "temperature": 0\n },\n "embeddings": {\n "model": "ollama\/nomic-embed-text",\n "base_url": "http:\/\/localhost:11434", # \u4efb\u610f\u8bbe\u7f6e Ollama URL\n },\n "max_results": 5,\n}\n\n# \u521b\u5efa SearchGraph \u5b9e\u4f8b\nsearch_graph = SearchGraph(\n prompt="List me all the traditional recipes from Chioggia",\n config=graph_config\n)\n\n# \u8fd0\u884c\u56fe\nresult = search_graph.run()\nprint(result)<\/code><\/pre>\n\u8f93\u51fa\u5c06\u662f\u4e00\u4e2a\u98df\u8c31\u5217\u8868\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
{'recipes': [{'name': 'Sarde in Sa\u00f2re'}, {'name': 'Bigoli in salsa'}, {'name': 'Seppie in umido'}, {'name': 'Moleche frite'}, {'name': 'Risotto alla pescatora'}, {'name': 'Broeto'}, {'name': 'Bibarasse in Cassopipa'}, {'name': 'Risi e bisi'}, {'name': 'Smegiassa Ciosota'}]}<\/code><\/pre>\n\u6848\u4f8b 3: \u4f7f\u7528 OpenAI \u7684 SpeechGraph<\/h3>\n
\u60a8\u53ea\u9700\u4f20\u9012 OpenAI API \u5bc6\u94a5\u548c\u6a21\u578b\u540d\u79f0\u3002<\/p>\n
from scrapegraphai.graphs import SpeechGraph\n\ngraph_config = {\n "llm": {\n "api_key": "OPENAI_API_KEY",\n "model": "gpt-3.5-turbo",\n },\n "tts_model": {\n "api_key": "OPENAI_API_KEY",\n "model": "tts-1",\n "voice": "alloy"\n },\n "output_path": "audio_summary.mp3",\n}\n\n# ************************************************\n# \u521b\u5efa SpeechGraph \u5b9e\u4f8b\u5e76\u8fd0\u884c\n# ************************************************\n\nspeech_graph = SpeechGraph(\n prompt="Make a detailed audio summary of the projects.",\n source="https:\/\/perinim.github.io\/projects\/",\n config=graph_config,\n)\n\nresult = speech_graph.run()\nprint(result)<\/code><\/pre>\n\u8f93\u51fa\u5c06\u662f\u4e00\u4e2a\u5305\u542b\u9875\u9762\u4e0a\u9879\u76ee\u6458\u8981\u7684\u97f3\u9891\u6587\u4ef6\u3002<\/p>\n
\ud83d\udcdc \u8bb8\u53ef\u8bc1<\/h2>\n
ScrapeGraphAI \u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\u3002\u66f4\u591a\u4fe1\u606f\u8bf7\u67e5\u770b LICENSE<\/a> \u6587\u4ef6\u3002<\/p>\n\u9e23\u8c22<\/h2>\n\n- \u6211\u4eec\u8981\u611f\u8c22\u6240\u6709\u9879\u76ee\u8d21\u732e\u8005\u548c\u5f00\u6e90\u793e\u533a\u7684\u652f\u6301\u3002<\/li>\n
- ScrapeGraphAI \u4ec5\u7528\u4e8e\u6570\u636e\u63a2\u7d22\u548c\u7814\u7a76\u76ee\u7684\u3002\u6211\u4eec\u4e0d\u5bf9\u4efb\u4f55\u6ee5\u7528\u8be5\u5e93\u7684\u884c\u4e3a\u8d1f\u8d23\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
\ud83d\udd77\ufe0f ScrapeGraphAI: \u53ea\u9700\u6293\u53d6\u4e00\u6b21 ScrapeGraphAI \u662f\u4e00\u4e2a\u7f51\u7edc\u722c\u866b Python \u5e93 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-411","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/posts\/411","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/comments?post=411"}],"version-history":[{"count":2,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/posts\/411\/revisions"}],"predecessor-version":[{"id":413,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/posts\/411\/revisions\/413"}],"wp:attachment":[{"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/media?parent=411"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/categories?post=411"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.di.cloudns.asia\/index.php\/wp-json\/wp\/v2\/tags?post=411"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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