chore: Add support for GPU, MPS, and CPU

crawl4ai/crawler_strategy.py

@@ -36,7 +36,7 @@ class CloudCrawlerStrategy(CrawlerStrategy):
         return html
 
 class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
-    def __init__(self, use_cached_html=False, js_code=None):
+    def __init__(self, use_cached_html=False, js_code=None, **kwargs):
         super().__init__()
         print("[LOG] 🚀 Initializing LocalSeleniumCrawlerStrategy")
         self.options = Options()
@@ -48,6 +48,7 @@ class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
         self.options.add_argument("--headless")
         self.use_cached_html = use_cached_html
         self.js_code = js_code
+        self.verbose = kwargs.get("verbose", False)
 
         # chromedriver_autoinstaller.install()
         import chromedriver_autoinstaller
@@ -62,6 +63,8 @@ class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
                     return f.read()
 
         try:
+            if self.verbose:
+                print(f"[LOG] 🕸️ Crawling {url} using LocalSeleniumCrawlerStrategy...")
             self.driver.get(url)
             WebDriverWait(self.driver, 10).until(
                 EC.presence_of_all_elements_located((By.TAG_NAME, "html"))
@@ -81,6 +84,9 @@ class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
             cache_file_path = os.path.join(Path.home(), ".crawl4ai", "cache", url.replace("/", "_"))
             with open(cache_file_path, "w") as f:
                 f.write(html)
+                
+            if self.verbose:
+                print(f"[LOG] ✅ Crawled {url} successfully!")
             
             return html
         except InvalidArgumentException:

crawl4ai/extraction_strategy.py

@@ -178,11 +178,15 @@ class CosineStrategy(ExtractionStrategy):
         
         self.buffer_embeddings = np.array([])
 
+        if self.verbose:
+            print(f"[LOG] Loading Extraction Model {model_name}")
+
         if model_name == "bert-base-uncased":
             self.tokenizer, self.model = load_bert_base_uncased()
         elif model_name == "BAAI/bge-small-en-v1.5":
             self.tokenizer, self.model = load_bge_small_en_v1_5()
 
+            
         self.nlp, self.device = load_text_multilabel_classifier()
         
         if self.verbose:

crawl4ai/model_loader.py

@@ -108,7 +108,7 @@ def load_spacy_model():
         repo_folder = os.path.join(home_folder, "crawl4ai")
         model_folder = os.path.join(home_folder, name)
 
-        print("[LOG] ⏬ Downloading model for the first time...")
+        # print("[LOG] ⏬ Downloading Spacy model for the first time...")
 
         # Remove existing repo folder if it exists
         if Path(repo_folder).exists():
@@ -136,7 +136,7 @@ def load_spacy_model():
             shutil.rmtree(repo_folder)
 
             # Print completion message
-            print("[LOG] ✅ Model downloaded successfully")
+            # print("[LOG] ✅ Spacy Model downloaded successfully")
         except subprocess.CalledProcessError as e:
             print(f"An error occurred while cloning the repository: {e}")
         except Exception as e:
@@ -164,7 +164,8 @@ def download_all_models(remove_existing=False):
     print("[LOG] Downloading BGE Small EN v1.5...")
     load_bge_small_en_v1_5()
     print("[LOG] Downloading text classifier...")
-    load_text_multilabel_classifier()
+    _, device = load_text_multilabel_classifier()
+    print(f"[LOG] Text classifier loaded on {device}")
     print("[LOG] Downloading custom NLTK Punkt model...")
     load_nltk_punkt()
     print("[LOG] ✅ All models downloaded successfully.")

crawl4ai/web_crawler.py

@@ -19,9 +19,10 @@ class WebCrawler:
         # db_path: str = None,
         crawler_strategy: CrawlerStrategy = None,
         always_by_pass_cache: bool = False,
+        verbose: bool = False,
     ):
         # self.db_path = db_path
-        self.crawler_strategy = crawler_strategy or LocalSeleniumCrawlerStrategy()
+        self.crawler_strategy = crawler_strategy or LocalSeleniumCrawlerStrategy(verbose=verbose)
         self.always_by_pass_cache = always_by_pass_cache
 
         # Create the .crawl4ai folder in the user's home directory if it doesn't exist

docs/examples/quickstart.py

@@ -12,7 +12,7 @@ console = Console()
 
 @lru_cache()
 def create_crawler():
-    crawler = WebCrawler()
+    crawler = WebCrawler(verbose=True)
     crawler.warmup()
     return crawler
 
@@ -86,7 +86,7 @@ def add_extraction_strategy(crawler):
     cprint("CosineStrategy uses cosine similarity to extract semantically similar blocks of text. Let's see it in action!")
     result = crawler.run(
         url="https://www.nbcnews.com/business",
-        extraction_strategy=CosineStrategy(word_count_threshold=10, max_dist=0.2, linkage_method="ward", top_k=3)
+        extraction_strategy=CosineStrategy(word_count_threshold=10, max_dist=0.2, linkage_method="ward", top_k=3, verbose=True)
     )
     cprint("[LOG] 📦 [bold yellow]CosineStrategy result:[/bold yellow]")
     print_result(result)
@@ -171,7 +171,7 @@ def main():
 
     crawler = create_crawler()
 
-    basic_usage(crawler)
+    # basic_usage(crawler)
     understanding_parameters(crawler)
     
     crawler.always_by_pass_cache = True