Update app.py

app.py

@@ -12,7 +12,7 @@ st.title("🌍 Biodiversity GIS Explorer")
 st.write("Explore biodiversity species using GBIF + AI analysis")
 
 # =====================================================
-# GEMINI (SAFE)
+# GEMINI SAFE
 # =====================================================
 
 def call_gemini(prompt, api_key):
@@ -55,8 +55,7 @@ country_codes = {
     "kenya": "KE",
     "ethiopia": "ET",
     "usa": "US",
-    "america": "US",
-    "canada": "CA"
+    "america": "US"
 }
 
 # =====================================================
@@ -73,7 +72,7 @@ species_filters = {
 }
 
 # =====================================================
-# GET SPECIES (STRICT + CLEAN + NATIVE FILTER)
+# CLEAN GBIF (STRONG FILTER ENGINE)
 # =====================================================
 
 def get_species(country_code, filter_value, species_type):
@@ -82,9 +81,9 @@ def get_species(country_code, filter_value, species_type):
         "https://api.gbif.org/v1/occurrence/search?"
         f"country={country_code}"
         f"&{filter_value}"
-        "&limit=200"
-        "&has_coordinate=true"
+        "&limit=300"
         "&occurrence_status=PRESENT"
+        "&has_coordinate=true"
     )
 
     try:
@@ -95,7 +94,7 @@ def get_species(country_code, filter_value, species_type):
         species = []
 
         bad_words = [
-            "unclassified", "sp.", "cf.", "aff.",
+            "sp.", "cf.", "aff.", "unclassified",
             "unknown", "incertae", "sp", "cf"
         ]
 
@@ -105,6 +104,7 @@ def get_species(country_code, filter_value, species_type):
             kingdom = item.get("kingdom")
             cls = item.get("class")
             status = item.get("establishmentMeans")
+            tax_status = item.get("taxonomicStatus")
 
             if not sp:
                 continue
@@ -115,23 +115,46 @@ def get_species(country_code, filter_value, species_type):
             if any(b in sp_low for b in bad_words):
                 continue
 
-            # must be binomial name
+            # must be proper scientific name
             if len(sp.split()) < 2:
                 continue
 
-            # STRICT TAXON FILTER
+            # =================================================
+            # STRONG FILTER ENGINE
+            # =================================================
+
+            if tax_status and tax_status != "ACCEPTED":
+                continue
+
+            # BIRDS ONLY CLEAN
             if species_type == "Birds":
+
                 if cls != "Aves":
                     continue
 
-                # remove invasive / introduced species
-                if status in ["INTRODUCED", "ASSISTED COLONIZATION"]:
+                if status in ["INTRODUCED", "ASSISTED COLONIZATION", "MANAGED"]:
+                    continue
+
+                # remove urban-only birds (optional but important)
+                urban = ["Columba livia", "Passer domesticus", "Cairina moschata"]
+                if sp in urban:
+                    continue
+
+            # REPTILES ONLY CLEAN
+            elif species_type == "Reptiles":
+
+                if cls != "Reptilia":
                     continue
 
+                if kingdom != "Animalia":
+                    continue
+
+            # PLANTS
             elif species_type == "Plants":
                 if kingdom != "Plantae":
                     continue
 
+            # OTHER ANIMALS
             else:
                 if kingdom != "Animalia":
                     continue
@@ -164,23 +187,13 @@ def get_species_links(species_name, country):
         ).json()
 
         if "usageKey" in r:
-            links.append(
-                f"- [GBIF](https://www.gbif.org/species/{r['usageKey']})"
-            )
+            links.append(f"- [GBIF](https://www.gbif.org/species/{r['usageKey']})")
     except:
         pass
 
-    links.append(
-        f"- [Wikipedia](https://en.wikipedia.org/wiki/{clean.replace(' ','_')})"
-    )
-
-    links.append(
-        f"- [iNaturalist](https://www.inaturalist.org/search?q={q})"
-    )
-
-    links.append(
-        f"- [Google Scholar](https://scholar.google.com/scholar?q={q}+{c})"
-    )
+    links.append(f"- [Wikipedia](https://en.wikipedia.org/wiki/{clean.replace(' ','_')})")
+    links.append(f"- [iNaturalist](https://www.inaturalist.org/search?q={q})")
+    links.append(f"- [Google Scholar](https://scholar.google.com/scholar?q={q}+{c})")
 
     return links
 
@@ -202,12 +215,7 @@ species_type = st.selectbox(
 
 if st.button("Search Biodiversity"):
 
-    country_clean = country.strip().lower()
-    country_code = country_codes.get(country_clean)
-
-    if not country:
-        st.warning("Enter country")
-        st.stop()
+    country_code = country_codes.get(country.strip().lower())
 
     if not country_code:
         st.error("Country not supported")
@@ -228,7 +236,7 @@ if st.button("Search Biodiversity"):
         st.write("•", sp)
 
     # =================================================
-    # AI
+    # AI ANALYSIS
     # =================================================
 
     prompt = f"""
@@ -240,7 +248,7 @@ Group: {species_type}
 Species:
 {chr(10).join(species_list)}
 
-Analyze only real native biodiversity. Avoid hallucination.
+Only use verified scientific knowledge. No hallucination.
 """
 
     st.subheader("🤖 AI Analysis")