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Build error
rishikaboinapally
commited on
Commit
•
3286cb9
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Parent(s):
bbff3bb
Upload model
Browse files- Amazon-Lens/.gitattributes +35 -0
- Amazon-Lens/.gitignore +19 -0
- Amazon-Lens/README.md +13 -0
- Amazon-Lens/main.py +75 -0
- Amazon-Lens/requirements.txt +6 -0
Amazon-Lens/.gitattributes
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Amazon-Lens/.gitignore
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# Python specific
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*.pyc
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__pycache__/
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# Virtual environment files (if using virtualenv or similar)
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venv/
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env/
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# Model checkpoints or large data files
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*.h5
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*.pkl
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# IDE files
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.vscode/
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.idea/
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# Gradio uploads folder
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uploads/
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Amazon-Lens/README.md
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---
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title: Amazon Lens
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emoji: 🐢
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colorFrom: red
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colorTo: pink
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sdk: gradio
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sdk_version: 4.36.1
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Amazon-Lens/main.py
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import os
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import numpy as np
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import pickle
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import tensorflow as tf
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from PIL import Image
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.layers import GlobalMaxPooling2D
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from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input
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from sklearn.neighbors import NearestNeighbors
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from numpy.linalg import norm
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import gradio as gr
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# Function to load embeddings and filenames
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def load_data():
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# Load embeddings and filenames from the same directory as main.py
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embeddings_path = os.path.join(os.path.dirname(__file__), 'embeddings.pkl')
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filenames_path = os.path.join(os.path.dirname(__file__), 'filenames.pkl')
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feature_list = np.array(pickle.load(open(embeddings_path, 'rb')))
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filenames = pickle.load(open(filenames_path, 'rb'))
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return feature_list, filenames
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# Load the feature list and filenames
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feature_list, filenames = load_data()
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# Load the pre-trained model
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model = ResNet50(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
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model.trainable = False
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model = tf.keras.Sequential([
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model,
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GlobalMaxPooling2D()
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])
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def feature_extraction(img_path, model):
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img = image.load_img(img_path, target_size=(224, 224))
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img_array = image.img_to_array(img)
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expanded_img_array = np.expand_dims(img_array, axis=0)
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preprocessed_img = preprocess_input(expanded_img_array)
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result = model.predict(preprocessed_img).flatten()
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normalized_result = result / norm(result)
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return normalized_result
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def recommend(features, feature_list):
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neighbors = NearestNeighbors(n_neighbors=6, algorithm='brute', metric='euclidean')
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neighbors.fit(feature_list)
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distances, indices = neighbors.kneighbors([features])
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return indices
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def resize_image(img, size):
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img = img.resize(size, Image.LANCZOS)
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return img
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def predict(input_image):
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img = input_image.convert("RGB") # Ensure image is in RGB mode
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img_array = np.array(img)
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expanded_img_array = np.expand_dims(img_array, axis=0)
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preprocessed_img = preprocess_input(expanded_img_array)
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features = model.predict(preprocessed_img).flatten()
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normalized_features = features / norm(features)
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indices = recommend(normalized_features, feature_list)
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result_images = [filenames[idx] for idx in indices[0]]
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resized_images = [resize_image(Image.open(img_path), (224, 224)) for img_path in result_images]
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return resized_images
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iface = gr.Interface(
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fn=predict,
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inputs=gr.Image(type="pil", label="Upload an image"),
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outputs=[gr.Image(type="pil", label=f"Recommendation {i+1}") for i in range(5)],
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title="Amazon Lens",
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description="Upload an image of clothing, and the system will recommend similar items."
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)
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if __name__ == "__main__":
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iface.launch()
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Amazon-Lens/requirements.txt
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gradio
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scikit-learn=1.2.2
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numpy=1.26.4
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Pillow=9.5.0
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tensorflow=2.15.0
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pickleshare=0.7.5
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