Final fix

app.py

@@ -35,17 +35,16 @@ def predict_coordinates(text):
     encoding = tokenizer(text, padding="max_length", truncation=True, \
         max_length=128, return_tensors='pt')
     outputs = coordinates_model(**encoding)
-    print(outputs)
-    return outputs[0][0][0], outputs[0][0][1]
+    return round(outputs[0][0][0], 3), round(outputs[0][0][1], 3)
 
 def predict(text):
     text = process_tweet(text)
     relevancy_label, relevancy_score = predict_relevancy(text)
     if relevancy_label == 'relevant':
         lat, lon = predict_coordinates(text)
-        return f"Relevancy model is confident for {relevancy_score * 100}% that tweet has the geolocation relevant information.\n" + \
-            f"Precited location coordinates are: lat: {lat} lon: {lon}"
-    return f"Relevancy model is confident for {relevancy_score * 100}% that tweet does not have the geolocation relevant information."
+        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}"
+    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")
 iface.launch()