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  1. app.py +140 -0
  2. requirements.txt +4 -0
app.py ADDED
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+ from PIL import Image
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+ from transformers import ViTFeatureExtractor, ViTForImageClassification
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+ import warnings
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+ import requests
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+ import gradio as gr
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+
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+ warnings.filterwarnings('ignore')
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+
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+ # Load the pre-trained Vision Transformer model and feature extractor
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+ model_name = "google/vit-base-patch16-224"
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+ feature_extractor = ViTFeatureExtractor.from_pretrained(model_name)
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+ model = ViTForImageClassification.from_pretrained(model_name)
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+
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+ # API key for the animal information
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+ api_key = '+Rf6S+6HhBwWSlq+rC5wzw==uNM884hcXekpp4tk' # Replace with your actual API key
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+
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+ def identify_image(image_path):
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+ """Identify the animal in the image."""
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+ image = Image.open(image_path)
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+ inputs = feature_extractor(images=image, return_tensors="pt")
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+ outputs = model(**inputs)
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+ logits = outputs.logits
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+ predicted_class_idx = logits.argmax(-1).item()
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+ predicted_label = model.config.id2label[predicted_class_idx]
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+ animal_name = predicted_label.split(',')[0]
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+ return animal_name
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+
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+ def get_animal_info(animal_name):
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+ """Get the animal information from the API."""
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+ api_url = f'https://api.api-ninjas.com/v1/animals?name={animal_name}'
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+ response = requests.get(api_url, headers={'X-Api-Key': api_key})
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+ if response.status_code == requests.codes.ok:
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+ animal_info = response.json()
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+ else:
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+ animal_info = {"Error": response.status_code, "Message": response.text}
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+ return animal_info
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+
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+ def format_animal_info(animal_info):
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+ """Format the animal information into an HTML table."""
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+ if "Error" in animal_info:
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+ return f"Error: {animal_info['Error']} - {animal_info['Message']}"
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+
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+ if len(animal_info) == 0:
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+ return "No animal information found."
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+
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+ animal_data = animal_info[0]
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+ taxonomy = animal_data.get('taxonomy', {})
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+ locations = ', '.join(animal_data.get('locations', []))
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+ characteristics = animal_data.get('characteristics', {})
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+
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+ table = f"""
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+ <table border="1" style="width: 100%; border-collapse: collapse;">
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+ <tr><th colspan="4" style="text-align: center;"><b>Animal Information</b></th></tr>
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+ <tr><td colspan="4" style="text-align: center;"><b>Animal Name: {animal_data['name']}</b></td></tr>
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+ <tr><th colspan="4" style="text-align: center;"><b>Taxonomy</b></th></tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Kingdom</b></td><td style="text-align: right;">{taxonomy.get('kingdom', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Phylum</b></td><td style="text-align: right;">{taxonomy.get('phylum', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Class</b></td><td style="text-align: right;">{taxonomy.get('class', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Order</b></td><td style="text-align: right;">{taxonomy.get('order', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Family</b></td><td style="text-align: right;">{taxonomy.get('family', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Genus</b></td><td style="text-align: right;">{taxonomy.get('genus', 'N/A')}</td>
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+ </tr>
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+ <tr><th colspan="4" style="text-align: center;"><b>Locations</b></th></tr>
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+ <tr>
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+ <td colspan="4" style="text-align: center;">{locations}</td>
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+ </tr>
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+ <tr><th colspan="4" style="text-align: center;"><b>Characteristics</b></th></tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Main Prey</b></td><td style="text-align: right;">{characteristics.get('main_prey', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Distinctive Feature</b></td><td style="text-align: right;">{characteristics.get('distinctive_feature', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Wingspan</b></td><td style="text-align: right;">{characteristics.get('wingspan', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Incubation Period</b></td><td style="text-align: right;">{characteristics.get('incubation_period', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Habitat</b></td><td style="text-align: right;">{characteristics.get('habitat', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Predators</b></td><td style="text-align: right;">{characteristics.get('predators', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Diet</b></td><td style="text-align: right;">{characteristics.get('diet', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Lifestyle</b></td><td style="text-align: right;">{characteristics.get('lifestyle', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Favorite Food</b></td><td style="text-align: right;">{characteristics.get('favorite_food', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Type</b></td><td style="text-align: right;">{characteristics.get('type', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Average Clutch Size</b></td><td style="text-align: right;">{characteristics.get('average_clutch_size', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Slogan</b></td><td style="text-align: right;">{characteristics.get('slogan', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Nesting Location</b></td><td style="text-align: right;">{characteristics.get('nesting_location', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Age of Molting</b></td><td style="text-align: right;">{characteristics.get('age_of_molting', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Color</b></td><td style="text-align: right;">{characteristics.get('color', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Skin Type</b></td><td style="text-align: right;">{characteristics.get('skin_type', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Top Speed</b></td><td style="text-align: right;">{characteristics.get('top_speed', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Lifespan</b></td><td style="text-align: right;">{characteristics.get('lifespan', 'N/A')}</td>
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+ </tr>
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+ <tr>
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+ <td style="text-align: left;"><b>Weight</b></td><td style="text-align: right;">{characteristics.get('weight', 'N/A')}</td>
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+ <td style="text-align: left;"><b>Length</b></td><td style="text-align: right;">{characteristics.get('length', 'N/A')}</td>
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+ </tr>
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+ </table>
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+ """
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+ return table
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+
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+ def main_process(image_path):
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+ """Identify the animal and fetch its information."""
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+ animal_name = identify_image(image_path)
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+ animal_info = get_animal_info(animal_name)
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+ formatted_animal_info = format_animal_info(animal_info)
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+ return formatted_animal_info
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+
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+ # Define the Gradio interface
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+ def gradio_interface(image):
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+ formatted_animal_info = main_process(image)
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+ return formatted_animal_info
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+
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+ # Create the Gradio UI
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+ iface = gr.Interface(
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+ fn=gradio_interface,
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+ inputs=gr.Image(type="filepath"),
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+ outputs="html",
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+ title="Animal Identification and Information",
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+ description="Upload an image of an animal to get detailed information.",
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+ allow_flagging="never" # Disable flagging
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+ )
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+
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+ # Launch the Gradio app
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+ iface.launch()
requirements.txt ADDED
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+ gradio
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+ transformers
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+ torchvision
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+ requests