Final fix

app.py

@@ -1,4 +1,5 @@
 import re
+import requests
 import gradio as gr
 from transformers import pipeline
 from transformers import AutoTokenizer
@@ -37,13 +38,29 @@ def predict_coordinates(text):
     outputs = coordinates_model(**encoding)
     return round(outputs[0][0][0].item(), 3), round(outputs[0][0][1].item(), 3)
 
+def reverse_geocode(lat, lon):
+    payload = {
+        'lat'             : lat, 
+        'lon'             : lon, 
+        'zoom'            : 12, 
+        'format'          : 'jsonv2',
+        'accept-language' : 'en'
+    }
+    try:
+        r = requests.get('https://geocode.maps.co/reverse', params=payload)
+        return f"Reverse geocoded coordinats: {r.json()['display_name']}"
+    except:
+        return "Service couldn't reverse geocode provided coordinates."
+
 def predict(text):
     text = process_tweet(text)
     relevancy_label, relevancy_score = predict_relevancy(text)
     if relevancy_label == 'relevant':
         lat, lon = predict_coordinates(text)
+        reverse_geocoded = reverse_geocode(lat, lon)
         return f"Confident for {round(relevancy_score * 100, 2)}% that tweet has the geolocation relevant information.\n" + \
-            f"Predicted coordinates are: lat: {lat} lon: {lon}"
+            f"Predicted coordinates are: lat: {lat} lon: {lon}.\n" + \
+            f"{reverse_geocoded}"
     return f"Confident for {relevancy_score * 100}% that tweet does not have the geolocation relevant information."
 
 iface = gr.Interface(fn=predict, inputs="text", outputs="text")