Update app.py
Browse files
app.py
CHANGED
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@@ -9,6 +9,7 @@ from urllib.parse import quote
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st.set_page_config(page_title="Biodiversity GIS Explorer", layout="wide")
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st.title("🌍 Biodiversity GIS Explorer")
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# =====================================================
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# GEMINI
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@@ -19,10 +20,16 @@ def call_gemini(prompt, api_key):
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if not api_key:
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return "⚠️ GEMINI_API_KEY not found."
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url =
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payload = {
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"contents": [
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}
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try:
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@@ -34,57 +41,44 @@ def call_gemini(prompt, api_key):
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# =====================================================
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# COUNTRY
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# =====================================================
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country_codes = {
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"sudan": "SD",
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"
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"
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"
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"
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"
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"
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"إثيوبيا": "ET",
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"saudi arabia": "SA",
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"السعودية": "SA",
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"usa": "US",
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"united states": "US",
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"america": "US",
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"امريكا": "US",
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"canada": "CA",
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"كندا": "CA"
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}
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-
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# =====================================================
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# TAXON FILTERS (FIXED
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# =====================================================
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species_filters = {
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"Birds": "
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"Plants": "
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"Mammals": "
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"Reptiles": "
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"Fish": "
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"Insects": "
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}
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-
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# =====================================================
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# GET SPECIES (
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# =====================================================
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def get_species(country_code, filter_value):
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url = (
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"https://api.gbif.org/v1/
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f"country={country_code}"
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f"&{filter_value}"
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"&
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"&
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"&has_geospatial_issue=false"
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"&occurrence_status=PRESENT"
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)
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try:
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@@ -96,29 +90,32 @@ def get_species(country_code, filter_value):
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bad_words = [
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"unclassified", "sp.", "cf.", "aff.",
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"unknown", "incertae"
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]
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for item in results:
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sp = item.get("
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kingdom = item.get("kingdom")
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# FILTER 1: must exist
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if not sp:
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continue
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# FILTER 2: remove junk names
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sp_low = sp.lower()
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if any(w in sp_low for w in bad_words):
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continue
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# FILTER 3: must be real species name
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if len(sp.split()) < 2:
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continue
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#
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if species_type == "Birds" and
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continue
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if sp not in species:
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@@ -132,7 +129,7 @@ def get_species(country_code, filter_value):
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# =====================================================
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# LINKS
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# =====================================================
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def get_species_links(species_name, country):
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@@ -143,7 +140,6 @@ def get_species_links(species_name, country):
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q = quote(clean)
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c = quote(country)
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# GBIF
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try:
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r = requests.get(
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f"https://api.gbif.org/v1/species/match?name={q}"
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@@ -156,17 +152,14 @@ def get_species_links(species_name, country):
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except:
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pass
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# Wikipedia
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links.append(
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f"- [Wikipedia](https://en.wikipedia.org/wiki/{clean.replace(' ','_')})"
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)
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# iNaturalist
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links.append(
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f"- [iNaturalist](https://www.inaturalist.org/search?q={q})"
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)
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# Scholar
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links.append(
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f"- [Google Scholar](https://scholar.google.com/scholar?q={q}+{c})"
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)
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@@ -186,12 +179,12 @@ species_type = st.selectbox(
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)
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# =====================================================
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#
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# =====================================================
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if st.button("Search Biodiversity"):
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#
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country_clean = country.strip().lower()
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country_code = country_codes.get(country_clean)
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@@ -205,32 +198,36 @@ if st.button("Search Biodiversity"):
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filter_value = species_filters[species_type]
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with st.spinner("Fetching GBIF
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species_list = get_species(country_code, filter_value)
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if not species_list:
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st.warning("No clean species found")
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st.stop()
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st.subheader("🐾 Species Found")
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for sp in species_list:
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st.write("•", sp)
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# =================================================
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#
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# =================================================
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prompt = f"""
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You are a biodiversity scientist.
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Country: {country}
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-
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Species:
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{chr(10).join(species_list)}
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Only analyze real species.
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"""
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st.subheader("🤖 AI Analysis")
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@@ -246,7 +243,10 @@ Only analyze real species.
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st.subheader("🔗 Links")
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for sp in species_list:
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for link in get_species_links(sp, country):
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st.markdown(link)
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st.markdown("---")
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st.set_page_config(page_title="Biodiversity GIS Explorer", layout="wide")
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st.title("🌍 Biodiversity GIS Explorer")
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st.write("Explore biodiversity species using GBIF + AI analysis")
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# =====================================================
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# GEMINI
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if not api_key:
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return "⚠️ GEMINI_API_KEY not found."
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url = (
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"https://generativelanguage.googleapis.com/v1beta/models/"
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"gemini-3.1-flash-lite:generateContent?key="
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f"{api_key}"
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)
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payload = {
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"contents": [
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{"parts": [{"text": prompt}]}
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]
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}
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try:
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# =====================================================
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# COUNTRY CLEAN INPUT
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# =====================================================
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country_codes = {
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"sudan": "SD", "السودان": "SD",
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"egypt": "EG", "مصر": "EG",
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"kenya": "KE", "كينيا": "KE",
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"ethiopia": "ET", "إثيوبيا": "ET",
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"saudi arabia": "SA", "السعودية": "SA",
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"usa": "US", "united states": "US", "america": "US", "امريكا": "US",
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"canada": "CA", "كندا": "CA"
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}
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# =====================================================
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# TAXON FILTERS (FIXED APPROACH)
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# =====================================================
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species_filters = {
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"Birds": "kingdom=Animalia&class=Aves",
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"Plants": "kingdom=Plantae",
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"Mammals": "kingdom=Animalia&class=Mammalia",
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"Reptiles": "kingdom=Animalia&class=Reptilia",
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"Fish": "kingdom=Animalia&class=Actinopterygii",
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"Insects": "kingdom=Animalia&class=Insecta"
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}
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# =====================================================
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# GET CLEAN SPECIES (IMPORTANT FIX)
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# =====================================================
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def get_species(country_code, filter_value):
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url = (
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"https://api.gbif.org/v1/species/search?"
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f"country={country_code}"
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f"&{filter_value}"
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"&rank=SPECIES"
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"&limit=50"
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)
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try:
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bad_words = [
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"unclassified", "sp.", "cf.", "aff.",
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"unknown", "incertae"
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]
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for item in results:
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sp = item.get("scientificName")
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kingdom = item.get("kingdom")
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cls = item.get("class")
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if not sp:
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continue
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sp_low = sp.lower()
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if any(w in sp_low for w in bad_words):
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continue
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if len(sp.split()) < 2:
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continue
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# strict filtering
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if species_type == "Birds" and cls != "Aves":
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continue
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if species_type == "Plants" and kingdom != "Plantae":
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continue
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if species_type != "Plants" and kingdom != "Animalia":
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continue
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if sp not in species:
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# =====================================================
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# LINKS
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# =====================================================
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def get_species_links(species_name, country):
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q = quote(clean)
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c = quote(country)
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try:
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r = requests.get(
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f"https://api.gbif.org/v1/species/match?name={q}"
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except:
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pass
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links.append(
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f"- [Wikipedia](https://en.wikipedia.org/wiki/{clean.replace(' ','_')})"
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)
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links.append(
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f"- [iNaturalist](https://www.inaturalist.org/search?q={q})"
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)
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links.append(
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f"- [Google Scholar](https://scholar.google.com/scholar?q={q}+{c})"
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)
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)
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# =====================================================
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# SEARCH
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# =====================================================
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if st.button("Search Biodiversity"):
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# clean country input
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country_clean = country.strip().lower()
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country_code = country_codes.get(country_clean)
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filter_value = species_filters[species_type]
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with st.spinner("Fetching clean GBIF species..."):
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species_list = get_species(country_code, filter_value)
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if not species_list:
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st.warning("No clean species found")
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st.stop()
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# =================================================
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# DISPLAY
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# =================================================
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st.subheader("🐾 Species Found")
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for sp in species_list:
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st.write("•", sp)
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# =================================================
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# GEMINI
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# =================================================
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prompt = f"""
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You are a biodiversity scientist.
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Country: {country}
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Group: {species_type}
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Species list:
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{chr(10).join(species_list)}
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Only analyze real species. No hallucination.
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"""
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st.subheader("🤖 AI Analysis")
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st.subheader("🔗 Links")
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for sp in species_list:
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st.markdown(f"### 🔬 {sp}")
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for link in get_species_links(sp, country):
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st.markdown(link)
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st.markdown("---")
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