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Update app.py
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app.py
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@@ -1,19 +1,8 @@
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import os
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import pandas as pd
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from PIL import Image
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import earthview as ev # Your custom library
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import gradio as gr
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# Path to the first shard of the Satellogic dataset
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filename = os.path.join("dataset", "satellogic", "train-00000-of-00065.parquet")
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# Check if the file exists
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if not os.path.isfile(filename):
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raise FileNotFoundError(f"{filename} not found")
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# Loads a dataset with pandas, this loads a single file
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data = pd.read_parquet(filename)
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# Global variables to manage state
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current_image = None
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timestamps.append(t)
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return bounds, timestamps
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# Function to load and display the next image
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def load_next_image():
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global current_image, image_id, current_metadata_index, bounds, timestamps
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sample = ev.item_to_images("satellogic", sample.to_dict())
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current_image = sample["rgb"][0] # Get the first image
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image_id += 1
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# Function to handle rating submission
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def submit_rating(rating, bounds_str):
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ratings.append(rating)
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bounds.append(bounds_str)
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timestamps.append("timestamp") # Use a valid timestamp if available
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current_metadata_index += 1
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return load_next_image()
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import pandas as pd
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from PIL import Image
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import earthview as ev
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import gradio as gr
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from datasets import load_dataset
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# Global variables to manage state
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current_image = None
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timestamps.append(t)
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return bounds, timestamps
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# Load the dataset directly from Hugging Face
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data = load_dataset("satellogic/EarthView", "satellogic", split="train", streaming=True)
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# Function to load and display the next image
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def load_next_image():
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global current_image, image_id, current_metadata_index, bounds, timestamps
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try:
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sample = next(iter(data))
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bounds_sample, timestamps_sample = item_to_bounds_timestamps(sample)
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# Use earthview library to convert arrays to PIL images
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sample = ev.item_to_images("satellogic", sample)
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current_image = sample["rgb"][0] # Get the first image
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image_id += 1
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return current_image, f"Image ID: {image_id}", bounds_sample[0]
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except StopIteration:
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return None, "No more images", None
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# Function to handle rating submission
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def submit_rating(rating, bounds_str):
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ratings.append(rating)
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bounds.append(bounds_str)
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timestamps.append("timestamp") # Use a valid timestamp if available
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current_metadata_index += 1
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return load_next_image()
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