u

ai.py

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+import requests
+import os
+
+# Function to download images from the internet
+def download_images(urls, folder):
+    os.makedirs(folder, exist_ok=True)
+    for i, url in enumerate(urls):
+        response = requests.get(url)
+        with open(f"{folder}/image_{i}.jpg", "wb") as f:
+            f.write(response.content)
+
+# Function to identify bears in images using Clarifai API
+def identify_bears(images_folder):
+    # Replace 'YOUR_API_KEY' with your actual Clarifai API key
+    API_KEY = 'YOUR_API_KEY'
+    url = "https://api.clarifai.com/v2/models/c0c0ac362b03416da06ab3fa36fb58e3/outputs"
+
+    headers = {
+        "Authorization": f"Key {API_KEY}",
+        "Content-Type": "application/json",
+    }
+
+    image_files = os.listdir(images_folder)
+    for image_file in image_files:
+        with open(f"{images_folder}/{image_file}", "rb") as f:
+            response = requests.post(url, headers=headers, json={"inputs": [{"data": {"image": {"base64": f.read().hex()}}}]})
+
+        data = response.json()
+        concepts = data["outputs"][0]["data"]["concepts"]
+        for concept in concepts:
+            if concept["name"] in ["grizzly bear", "black bear"]:
+                print(f"Image {image_file}: {concept['name']} - Probability: {concept['value']}")
+
+# Example usage
+if __name__ == "__main__":
+    urls = [
+        "URL_TO_BEAR_IMAGE_1",
+        "URL_TO_BEAR_IMAGE_2",
+        # Add more URLs as needed
+    ]
+    download_images(urls, "images")
+    identify_bears("images")