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README.md

@@ -1,12 +1,53 @@
----
-title: Mapster Space
-emoji: 🏆
-colorFrom: purple
-colorTo: purple
-sdk: gradio
-sdk_version: 5.24.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Sentinel-2 Image Browser
+
+This application allows you to browse and view Sentinel-2 satellite imagery from the Copernicus Data Space Ecosystem. You can search by coordinates, select various landscapes, and filter by cloud cover.
+
+
+## Installation
+
+1. Clone the repository:
+
+```bash
+git clone git@github.com:pretty-map/mooc-pretty-map.git
+cd mooc-pretty-map
+```
+
+2. Create and activate a conda environment:
+
+```bash
+conda create -n map python==3.13.2
+conda activate map
+```
+
+3. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+3. Set up your credentials by creating a `.env` file in the root directory with the following content:
+
+```bash
+touch .env
+```
+then: 
+
+```
+DESTINE_USERNAME=username
+DESTINE_PASSWORD=password
+ACCESS_KEY_ID=username
+SECRET_ACCESS_KEY=password
+```
+
+## Running the Application
+
+Start the application with:
+
+```bash
+python app_cdse_v0.py
+```
+or 
+
+```bash
+python app_cdse_v1.py
+```

app.py

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+import os
+import gradio as gr
+import numpy as np
+import io
+import random
+from PIL import Image
+from dotenv import load_dotenv
+import pystac_client
+from datetime import datetime
+from src.auth.auth import S3Connector
+from src.utils.utils import extract_s3_path_from_url
+from src.utils.stac_client import ProductDownloader
+
+# Load environment variables
+load_dotenv()
+
+# Get credentials from environment variables
+ACCESS_KEY_ID = os.environ.get("ACCESS_KEY_ID")
+SECRET_ACCESS_KEY = os.environ.get("SECRET_ACCESS_KEY")
+ENDPOINT_URL = 'https://eodata.dataspace.copernicus.eu'
+# Initialize the connector
+s3_connector = S3Connector(
+    endpoint_url=ENDPOINT_URL,
+    access_key_id=ACCESS_KEY_ID,
+    secret_access_key=SECRET_ACCESS_KEY
+)
+# Connect to S3
+s3_connector.connect()
+s3_client = s3_connector.get_s3_client()
+ENDPOINT_STAC = "https://stac.dataspace.copernicus.eu/v1/"
+catalog = pystac_client.Client.open(ENDPOINT_STAC)    
+
+
+def fetch_sentinel_image(longitude, latitude, date_from, date_to, cloud_cover):
+    """Fetch a Sentinel image based on criteria."""
+    try:
+        # Use the coordinates from inputs
+        LON, LAT = float(longitude), float(latitude)
+
+        # Use the date range from inputs
+        date_range = f"{date_from}/{date_to}"
+        
+        cloud_query = f"eo:cloud_cover<{cloud_cover}"
+        
+        items_txt = catalog.search(
+            collections=['sentinel-2-l2a'],
+            intersects=dict(type="Point", coordinates=[LON, LAT]),
+            datetime=date_range,
+            query=[cloud_query]
+        ).item_collection()
+        
+        if len(items_txt) == 0:
+            return None, f"No images found for the specified criteria at coordinates ({LON}, {LAT}) with cloud cover < {cloud_cover}%."
+        
+        # Randomly select an image from the available items
+        selected_item = random.choice(items_txt)
+        
+        # Format datetime for readability
+        datetime_str = selected_item.properties.get('datetime', 'N/A')
+        try:
+            dt = datetime.fromisoformat(datetime_str.replace('Z', '+00:00'))
+            formatted_date = dt.strftime('%Y-%m-%d %H:%M:%S UTC')
+        except:
+            formatted_date = datetime_str
+            
+        # Extract metadata for display
+        metadata = f"""
+        ## Product Information
+        - **Location**: {LAT}°N, {LON}°E
+        - **Date**: {formatted_date}
+        - **Cloud Cover**: {selected_item.properties.get('eo:cloud_cover', 'N/A')}%
+        - **Cloud Cover Threshold**: < {cloud_cover}%
+        - **Satellite**: {selected_item.properties.get('platform', 'N/A')}
+        - **Product ID**: {selected_item.id}
+        - **Items Found**: {len(items_txt)} matching products
+        """
+        
+        # Get the TCI_60m asset from the randomly selected item
+        product_url = extract_s3_path_from_url(selected_item.assets['TCI_60m'].href)
+        print(f"Selected product URL: {product_url}")
+
+        # Initialize the handler with the S3 connector
+        handler = ProductDownloader(s3_client=s3_client, bucket_name='eodata')
+
+        # Get the image content as bytes
+        product_bytes, filename = handler.get_product_content(product_url)
+        print(f"Downloaded {filename}, content size: {len(product_bytes)} bytes")
+        
+        # Convert to PIL Image
+        img = Image.open(io.BytesIO(product_bytes))
+        
+        return img, metadata
+        
+    except ValueError as ve:
+        error_message = f"Invalid input: {str(ve)}. Please ensure longitude and latitude are valid numbers."
+        print(error_message)
+        return None, error_message
+    except Exception as e:
+        error_message = f"Error: {str(e)}"
+        print(error_message)
+        return None, error_message
+
+
+# Create Gradio interface
+with gr.Blocks(title="Sentinel Product Viewer") as demo:
+    gr.Markdown("# Sentinel-2 Product Viewer")
+    gr.Markdown("Browse and view Sentinel-2 satellite product")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            # Location inputs
+            with gr.Row():
+                longitude = gr.Number(label="Longitude", value=15.0, minimum=-180, maximum=180)
+                latitude = gr.Number(label="Latitude", value=50.0, minimum=-90, maximum=90)
+            
+            # Date range inputs
+            with gr.Row():
+                date_from = gr.Textbox(label="Date From (YYYY-MM-DD)", value="2024-05-01")
+                date_to = gr.Textbox(label="Date To (YYYY-MM-DD)", value="2025-02-01")
+            
+            # Cloud cover slider
+            cloud_cover = gr.Slider(
+                label="Max Cloud Cover (%)", 
+                minimum=0, 
+                maximum=100, 
+                value=50,
+                step=5
+            )
+            
+            # Diverse landscape location buttons
+            gr.Markdown("### Diverse Locations")
+            with gr.Row():
+                italy_btn = gr.Button("Italy")
+                amazon_btn = gr.Button("Amazon Rainforest")
+            with gr.Row():
+                tokyo_btn = gr.Button("Tokyo")
+                great_barrier_btn = gr.Button("Great Barrier Reef")
+            
+            with gr.Row():
+                iceland_btn = gr.Button("Iceland Glacier")
+                canada_btn = gr.Button("Baffin Island")
+
+    
+                
+            
+            fetch_btn = gr.Button("Fetch Random Image", variant="primary")
+        
+        with gr.Column(scale=2):
+            image_output = gr.Image(type="pil", label="Sentinel-2 Image")
+            metadata_output = gr.Markdown(label="Image Metadata")
+    
+    # Button click handlers for diverse landscapes
+    italy_btn.click(lambda: (12.39, 42.05), outputs=[longitude, latitude])
+    amazon_btn.click(lambda: (-64.7, -3.42), outputs=[longitude, latitude])
+    tokyo_btn.click(lambda: (139.70, 35.65), outputs=[longitude, latitude])
+    great_barrier_btn.click(lambda: (150.97, -20.92), outputs=[longitude, latitude])
+    
+    iceland_btn.click(lambda: (-18.17, 64.61), outputs=[longitude, latitude])
+    # rice_terraces_btn.click(lambda: (121.1, 16.9), outputs=[longitude, latitude])
+    canada_btn.click(lambda: (-71.56, 67.03), outputs=[longitude, latitude])
+
+    # Main search button
+    fetch_btn.click(
+        fn=fetch_sentinel_image, 
+        inputs=[longitude, latitude, date_from, date_to, cloud_cover], 
+        outputs=[image_output, metadata_output]
+    )
+
+    gr.Markdown("## About")
+    gr.Markdown("""
+    This application allows you to browse and view Sentinel-2 satellite imagery using the Copernicus Data Space Ecosystem.
+    
+    - **Location**: Enter longitude and latitude coordinates or select distinctive landscapes
+    - **TCI Images**: The images shown are true color (RGB) composites at 60m resolution
+    - **Date Range**: Specify the date range to search for images
+    - **Cloud Cover**: Adjust the maximum acceptable cloud cover percentage
+    - **Random Selection**: A random image that matches the criteria will be selected for display
+    """)
+
+if __name__ == "__main__":
+    demo.launch(share=True)

app_cachea.py

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+import os
+import gradio as gr
+import numpy as np
+from io import BytesIO
+from PIL import Image
+from dotenv import load_dotenv
+
+from src.utils.stac_client import download_sentinel_image
+
+# Load environment variables
+load_dotenv()
+USERNAME = os.environ.get("DESTINE_USERNAME")
+PASSWORD = os.environ.get("DESTINE_PASSWORD")
+
+def fetch_sentinel_image(date_from, date_to):
+    """Fetch a Sentinel image based on criteria."""
+    # Validate date format    
+    # Download the image
+    content, metadata = download_sentinel_image(
+        username=USERNAME,
+        password=PASSWORD,
+        start_date=date_from,
+        end_date= date_to
+    )
+    
+    # Handle error case
+    if isinstance(content, str):
+        return None, content
+    
+    # Convert to PIL Image
+    try:
+        img = Image.open(BytesIO(content))
+        
+        # Create metadata string
+        metadata_str = "\n".join([
+            f"**Date:** {metadata.get('datetime', 'Unknown')}",
+            # f"**Cloud Cover:** {metadata.get('cloud_cover', 'Unknown')}%",
+            f"**Filename:** {metadata.get('filename', 'Unknown')}"
+        ])
+        
+        return img, metadata_str
+    except Exception as e:
+        return None, f"Error processing image: {str(e)}"
+
+# Create Gradio interface
+with gr.Blocks(title="Sentinel Image Viewer") as demo:
+    gr.Markdown("# Sentinel-2 Image Viewer")
+    gr.Markdown("Browse and view Sentinel-2 satellite imagery")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            date_from = gr.Textbox(label="Date From (YYYY-MM-DD)", value="2024-12-15")
+            date_to = gr.Textbox(label="Date To (YYYY-MM-DD)", value="2024-12-30")
+            fetch_btn = gr.Button("Fetch Image")
+        
+        with gr.Column(scale=2):
+            image_output = gr.Image(type="pil", label="Sentinel-2 Image")
+            metadata_output = gr.Markdown(label="Image Metadata")
+    
+    fetch_btn.click(
+        fn=fetch_sentinel_image, 
+        inputs=[date_from, date_to], 
+        outputs=[image_output, metadata_output]
+    )
+
+    gr.Markdown("## About")
+    gr.Markdown("""
+    This application allows you to browse and view Sentinel-2 satellite imagery using the DESTINE API.
+    
+    - **TCI Images**: The images shown are true color (RGB) composites at 60m resolution.
+    - **Date Range**: Specify the date range to search for images.
+    """)
+
+if __name__ == "__main__":
+    demo.launch(share=True)

app_cdse_v0.py

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+import os
+import gradio as gr
+import numpy as np
+import io
+import random
+from PIL import Image
+from dotenv import load_dotenv
+import pystac_client
+from datetime import datetime
+from src.auth.auth import S3Connector
+from src.utils.utils import extract_s3_path_from_url
+from src.utils.stac_client import ProductDownloader
+
+# Load environment variables
+load_dotenv()
+
+# Get credentials from environment variables
+ACCESS_KEY_ID = os.environ.get("ACCESS_KEY_ID")
+SECRET_ACCESS_KEY = os.environ.get("SECRET_ACCESS_KEY")
+ENDPOINT_URL = 'https://eodata.dataspace.copernicus.eu'
+# Initialize the connector
+s3_connector = S3Connector(
+    endpoint_url=ENDPOINT_URL,
+    access_key_id=ACCESS_KEY_ID,
+    secret_access_key=SECRET_ACCESS_KEY
+)
+# Connect to S3
+s3_connector.connect()
+s3_client = s3_connector.get_s3_client()
+ENDPOINT_STAC = "https://stac.dataspace.copernicus.eu/v1/"
+catalog = pystac_client.Client.open(ENDPOINT_STAC)    
+
+
+def fetch_sentinel_image(date_from, date_to):
+    """Fetch a Sentinel image based on criteria."""
+    try:
+        # Search for Sentinel-2 products
+        LON, LAT = 15, 50
+
+        # Use the date range from inputs
+        date_range = f"{date_from}/{date_to}"
+        
+        items_txt = catalog.search(
+            collections=['sentinel-2-l2a'],
+            intersects=dict(type="Point", coordinates=[LON, LAT]),
+            datetime=date_range,
+            query=["eo:cloud_cover<10"]
+        ).item_collection()
+        
+        if len(items_txt) == 0:
+            return None, "No images found for the specified criteria."
+        
+        # Randomly select an image from the available items
+        selected_item = random.choice(items_txt)
+        
+        # Format datetime for readability
+        datetime_str = selected_item.properties.get('datetime', 'N/A')
+        try:
+            dt = datetime.fromisoformat(datetime_str.replace('Z', '+00:00'))
+            formatted_date = dt.strftime('%Y-%m-%d %H:%M:%S UTC')
+        except:
+            formatted_date = datetime_str
+            
+        # Extract metadata for display
+        metadata = f"""
+        ## Product Information
+        - **Date**: {formatted_date}
+        - **Cloud Cover**: {selected_item.properties.get('eo:cloud_cover', 'N/A')}%
+        - **Satellite**: {selected_item.properties.get('platform', 'N/A')}
+        - **Product ID**: {selected_item.id}
+        - **Items Found**: {len(items_txt)} matching products
+        """
+        
+        # Get the TCI_60m asset from the randomly selected item
+        product_url = extract_s3_path_from_url(selected_item.assets['TCI_60m'].href)
+        print(f"Selected product URL: {product_url}")
+
+        # Initialize the handler with the S3 connector
+        handler = ProductDownloader(s3_client=s3_client, bucket_name='eodata')
+
+        # Get the image content as bytes
+        product_bytes, filename = handler.get_product_content(product_url)
+        print(f"Downloaded {filename}, content size: {len(product_bytes)} bytes")
+        
+        # Convert to PIL Image
+        img = Image.open(io.BytesIO(product_bytes))
+        
+        return img, metadata
+        
+    except Exception as e:
+        error_message = f"Error: {str(e)}"
+        print(error_message)
+        return None, error_message
+
+
+# Create Gradio interface
+with gr.Blocks(title="Sentinel Image Viewer") as demo:
+    gr.Markdown("# Sentinel-2 Image Viewer")
+    gr.Markdown("Browse and view Sentinel-2 satellite imagery")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            date_from = gr.Textbox(label="Date From (YYYY-MM-DD)", value="2024-05-01")
+            date_to = gr.Textbox(label="Date To (YYYY-MM-DD)", value="2024-05-30")
+            fetch_btn = gr.Button("Fetch Random Image")
+        
+        with gr.Column(scale=2):
+            image_output = gr.Image(type="pil", label="Sentinel-2 Image")
+            metadata_output = gr.Markdown(label="Image Metadata")
+    
+    fetch_btn.click(
+        fn=fetch_sentinel_image, 
+        inputs=[date_from, date_to], 
+        outputs=[image_output, metadata_output]
+    )
+
+    gr.Markdown("## About")
+    gr.Markdown("""
+    This application allows you to browse and view Sentinel-2 satellite imagery using the Copernicus Data Space Ecosystem.
+    
+    - **TCI Images**: The images shown are true color (RGB) composites at 60m resolution.
+    - **Date Range**: Specify the date range to search for images.
+    - **Random Selection**: A random image that matches the criteria will be selected for display.
+    """)
+
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

@@ -0,0 +1,192 @@
+aiohttp==3.11.16
+backports.tarfile==1.2.0
+bokeh==3.7.2
+boto3==1.37.26
+bottleneck==1.4.2
+brotli==1.1.0
+cartopy==0.24.1
+cffi==1.17.1
+conflator==0.1.7
+crc32c==2.7.1
+distributed==2025.3.0
+dotenv==0.9.9
+exceptiongroup==1.2.2
+flox==0.10.1
+folium==0.19.5
+geodatasets==2024.8.0
+geopandas==1.0.1
+gradio==5.23.3
+h2==4.2.0
+h5netcdf==1.6.1
+importlib-metadata==8.6.1
+ipykernel==6.29.5
+isort==6.0.1
+jaraco.collections==5.1.0
+lxml==5.3.1
+lz4==4.4.4
+nbformat==5.10.4
+nc-time-axis==1.4.1
+netcdf4==1.7.2
+numbagg==0.9.0
+opt-einsum==3.4.0
+pickleshare==0.7.5
+pyarrow==19.0.1
+pysocks==1.7.1
+pystac-client==0.8.6
+rasterio==1.4.3
+seaborn==0.13.2
+sentinelsat==1.2.1
+sparse==0.16.0
+tomli==2.0.1
+xarray==2025.3.1
+zarr==3.0.6
+zstandard==0.23.0
+# affine==2.4.0 # Installed as dependency for rasterio
+# aiofiles==23.2.1 # Installed as dependency for gradio
+# aiohappyeyeballs==2.6.1 # Installed as dependency for aiohttp
+# aiosignal==1.3.2 # Installed as dependency for aiohttp
+# annotated-types==0.7.0 # Installed as dependency for pydantic
+# anyio==4.9.0 # Installed as dependency for gradio, httpx, starlette
+# argparse==1.4.0 # Installed as dependency for conflator
+# asttokens==3.0.0 # Installed as dependency for stack-data
+# attrs==25.3.0 # Installed as dependency for aiohttp, jsonschema, rasterio, referencing
+# audioop-lts==0.2.1 # Installed as dependency for gradio
+# autocommand==2.2.2 # Installed as dependency for jaraco.text
+# botocore==1.37.26 # Installed as dependency for boto3, s3transfer
+# branca==0.8.1 # Installed as dependency for folium
+# certifi==2025.1.31 # Installed as dependency for httpcore, httpx, netcdf4, pyogrio, pyproj, rasterio, requests
+# cftime==1.6.4.post1 # Installed as dependency for nc-time-axis, netcdf4
+# charset-normalizer==3.4.1 # Installed as dependency for requests
+# click==8.1.8 # Installed as dependency for click-plugins, cligj, dask, distributed, geomet, rasterio, sentinelsat, typer, uvicorn
+# click-plugins==1.1.1 # Installed as dependency for rasterio
+# cligj==0.7.2 # Installed as dependency for rasterio
+# cloudpickle==3.1.1 # Installed as dependency for dask, distributed
+# comm==0.2.2 # Installed as dependency for ipykernel
+# contourpy==1.3.1 # Installed as dependency for bokeh, matplotlib
+# cycler==0.12.1 # Installed as dependency for matplotlib
+# dask==2025.3.0 # Installed as dependency for distributed
+# debugpy==1.8.13 # Installed as dependency for ipykernel
+# decorator==5.2.1 # Installed as dependency for ipython
+# deprecated==1.2.18 # Installed as dependency for numcodecs
+# donfig==0.8.1.post1 # Installed as dependency for zarr
+# executing==2.1.0 # Installed as dependency for stack-data
+# fastapi==0.115.12 # Installed as dependency for gradio
+# fastjsonschema==2.21.1 # Installed as dependency for nbformat
+# ffmpy==0.5.0 # Installed as dependency for gradio
+# filelock==3.18.0 # Installed as dependency for huggingface-hub
+# fonttools==4.56.0 # Installed as dependency for matplotlib
+# frozenlist==1.5.0 # Installed as dependency for aiohttp, aiosignal
+# fsspec==2025.3.2 # Installed as dependency for dask, gradio-client, huggingface-hub
+# geojson==3.2.0 # Installed as dependency for sentinelsat
+# geomet==1.1.0 # Installed as dependency for sentinelsat
+# gradio-client==1.8.0 # Installed as dependency for gradio
+# groovy==0.1.2 # Installed as dependency for gradio
+# h11==0.14.0 # Installed as dependency for httpcore, uvicorn
+# h5py==3.13.0 # Installed as dependency for h5netcdf
+# hpack==4.1.0 # Installed as dependency for h2
+# html2text==2024.2.26 # Installed as dependency for sentinelsat
+# httpcore==1.0.7 # Installed as dependency for httpx
+# httpx==0.28.1 # Installed as dependency for gradio, gradio-client, safehttpx
+# huggingface-hub==0.30.1 # Installed as dependency for gradio, gradio-client
+# hyperframe==6.1.0 # Installed as dependency for h2
+# idna==3.10 # Installed as dependency for anyio, httpx, requests, yarl
+# inflect==7.3.1 # Installed as dependency for jaraco.text
+# iniconfig==2.1.0 # Installed as dependency for pytest
+# ipython==9.0.2 # Installed as dependency for ipykernel
+# ipython-pygments-lexers==1.1.1 # Installed as dependency for ipython
+# jaraco.context==5.3.0 # Installed as dependency for jaraco.text
+# jaraco.functools==4.0.1 # Installed as dependency for jaraco.text
+# jaraco.text==3.12.1 # Installed as dependency for jaraco.collections
+# jedi==0.19.2 # Installed as dependency for ipython
+# jinja2==3.1.6 # Installed as dependency for bokeh, branca, distributed, folium, gradio
+# jmespath==1.0.1 # Installed as dependency for boto3, botocore
+# jsonschema==4.23.0 # Installed as dependency for nbformat
+# jsonschema-specifications==2024.10.1 # Installed as dependency for jsonschema
+# jupyter-client==8.6.3 # Installed as dependency for ipykernel
+# jupyter-core==5.7.2 # Installed as dependency for ipykernel, jupyter-client, nbformat
+# kiwisolver==1.4.8 # Installed as dependency for matplotlib
+# llvmlite==0.44.0 # Installed as dependency for numba
+# locket==1.0.0 # Installed as dependency for distributed, partd
+# markdown-it-py==3.0.0 # Installed as dependency for rich
+# markupsafe==3.0.2 # Installed as dependency for gradio, jinja2
+# matplotlib==3.10.1 # Installed as dependency for cartopy, nc-time-axis, seaborn
+# matplotlib-inline==0.1.7 # Installed as dependency for ipykernel, ipython
+# mdurl==0.1.2 # Installed as dependency for markdown-it-py
+# more-itertools==10.3.0 # Installed as dependency for inflect, jaraco.functools, jaraco.text
+# msgpack==1.1.0 # Installed as dependency for distributed
+# multidict==6.2.0 # Installed as dependency for aiohttp, yarl
+# narwhals==1.33.0 # Installed as dependency for bokeh
+# nest-asyncio==1.6.0 # Installed as dependency for ipykernel
+# numba==0.61.0 # Installed as dependency for numbagg, sparse
+# numcodecs==0.15.1 # Installed as dependency for zarr
+# numpy==2.1.3 # Installed as dependency for bokeh, bottleneck, cartopy, cftime, contourpy, flox, folium, geopandas, gradio, h5py, matplotlib, nc-time-axis, netcdf4, numba, numbagg, numcodecs, numpy-groupies, pandas, pyogrio, rasterio, scipy, seaborn, shapely, sparse, xarray, zarr
+# numpy-groupies==0.11.2 # Installed as dependency for flox
+# orjson==3.10.16 # Installed as dependency for gradio
+# packaging==24.2 # Installed as dependency for bokeh, cartopy, dask, distributed, flox, geopandas, gradio, gradio-client, h5netcdf, huggingface-hub, ipykernel, matplotlib, pooch, pyogrio, pytest, xarray, zarr
+# pandas==2.2.3 # Installed as dependency for bokeh, flox, geopandas, gradio, seaborn, xarray
+# parso==0.8.4 # Installed as dependency for jedi
+# partd==1.4.2 # Installed as dependency for dask
+# pexpect==4.9.0 # Installed as dependency for ipython
+# pillow==11.1.0 # Installed as dependency for bokeh, gradio, matplotlib
+# platformdirs==4.3.7 # Installed as dependency for jupyter-core, pooch
+# pluggy==1.5.0 # Installed as dependency for pytest
+# pooch==1.8.2 # Installed as dependency for geodatasets
+# prompt-toolkit==3.0.50 # Installed as dependency for ipython
+# propcache==0.3.1 # Installed as dependency for aiohttp, yarl
+# psutil==7.0.0 # Installed as dependency for distributed, ipykernel
+# ptyprocess==0.7.0 # Installed as dependency for pexpect
+# pure-eval==0.2.3 # Installed as dependency for stack-data
+# pycparser==2.22 # Installed as dependency for cffi
+# pydantic==2.11.1 # Installed as dependency for conflator, fastapi, gradio
+# pydantic-core==2.33.0 # Installed as dependency for pydantic
+# pydub==0.25.1 # Installed as dependency for gradio
+# pygments==2.19.1 # Installed as dependency for ipython, ipython-pygments-lexers, rich
+# pyogrio==0.10.0 # Installed as dependency for geopandas
+# pyparsing==3.2.3 # Installed as dependency for matplotlib, rasterio
+# pyproj==3.7.1 # Installed as dependency for cartopy, geopandas
+# pyshp==2.3.1 # Installed as dependency for cartopy
+# pystac==1.12.2 # Installed as dependency for pystac-client
+# pytest==8.3.5 # Installed as dependency for conflator
+# python-dateutil==2.9.0.post0 # Installed as dependency for botocore, jupyter-client, matplotlib, pandas, pystac, pystac-client
+# python-dotenv==1.1.0 # Installed as dependency for dotenv
+# python-multipart==0.0.20 # Installed as dependency for gradio
+# pytz==2025.2 # Installed as dependency for pandas
+# pyyaml==6.0.2 # Installed as dependency for bokeh, conflator, dask, distributed, donfig, gradio, huggingface-hub
+# pyzmq==26.3.0 # Installed as dependency for ipykernel, jupyter-client
+# referencing==0.36.2 # Installed as dependency for jsonschema, jsonschema-specifications
+# requests==2.32.3 # Installed as dependency for folium, huggingface-hub, pooch, pystac-client, sentinelsat
+# rich==14.0.0 # Installed as dependency for rich-argparse, typer
+# rich-argparse==1.7.0 # Installed as dependency for conflator
+# rpds-py==0.24.0 # Installed as dependency for jsonschema, referencing
+# ruff==0.11.2 # Installed as dependency for gradio
+# s3transfer==0.11.4 # Installed as dependency for boto3
+# safehttpx==0.1.6 # Installed as dependency for gradio
+# scipy==1.15.2 # Installed as dependency for flox
+# semantic-version==2.10.0 # Installed as dependency for gradio
+# shapely==2.0.7 # Installed as dependency for cartopy, geopandas
+# shellingham==1.5.4 # Installed as dependency for typer
+# six==1.17.0 # Installed as dependency for python-dateutil
+# sniffio==1.3.1 # Installed as dependency for anyio
+# sortedcontainers==2.4.0 # Installed as dependency for distributed
+# stack-data==0.6.3 # Installed as dependency for ipython
+# starlette==0.46.1 # Installed as dependency for fastapi, gradio
+# tblib==3.1.0 # Installed as dependency for distributed
+# tomlkit==0.13.2 # Installed as dependency for gradio
+# toolz==1.0.0 # Installed as dependency for dask, distributed, flox, partd
+# tornado==6.4.2 # Installed as dependency for bokeh, distributed, ipykernel, jupyter-client
+# tqdm==4.67.1 # Installed as dependency for huggingface-hub, sentinelsat
+# traitlets==5.14.3 # Installed as dependency for comm, ipykernel, ipython, jupyter-client, jupyter-core, matplotlib-inline, nbformat
+# typeguard==4.3.0 # Installed as dependency for inflect
+# typer==0.15.2 # Installed as dependency for gradio
+# typing-extensions==4.13.0 # Installed as dependency for fastapi, gradio, gradio-client, huggingface-hub, pydantic, pydantic-core, typeguard, typer, typing-inspection, zarr
+# typing-inspection==0.4.0 # Installed as dependency for pydantic
+# tzdata==2025.2 # Installed as dependency for pandas
+# urllib3==2.3.0 # Installed as dependency for botocore, distributed, requests
+# uvicorn==0.34.0 # Installed as dependency for gradio
+# wcwidth==0.2.13 # Installed as dependency for prompt-toolkit
+# websockets==15.0.1 # Installed as dependency for gradio-client
+# wrapt==1.17.2 # Installed as dependency for deprecated
+# xyzservices==2025.1.0 # Installed as dependency for bokeh, folium
+# yarl==1.18.3 # Installed as dependency for aiohttp
+# zict==3.0.0 # Installed as dependency for distributed
+# zipp==3.21.0 # Installed as dependency for importlib-metadata