Update app.py

app.py

@@ -6,27 +6,25 @@ from datetime import datetime
 
 gmaps = googlemaps.Client(key='AIzaSyDybq2mxujekZVivmr03Y5-GGHXesn4TLI')
 
-# Geocoding an address
-geocode_result = gmaps.geocode('1600 Amphitheatre Parkway, Mountain View, CA')
-
-# Look up an address with reverse geocoding
-reverse_geocode_result = gmaps.reverse_geocode((40.714224, -73.961452))
-
-# Request directions via public transit
-now = datetime.now()
-directions_result = gmaps.directions("Sydney Town Hall",
-                                     "Parramatta, NSW",
-                                     mode="transit",
-                                     departure_time=now)
-
-# Validate an address with address validation
-addressvalidation_result =  gmaps.addressvalidation(['1600 Amphitheatre Pk'], 
-                                                    regionCode='US',
-                                                    locality='Mountain View', 
-                                                    enableUspsCass=True)
-
 
+def GetMapInfo(inputText):
+    geocode_result = gmaps.geocode('640 Jackson Street, St. Paul, MN 55101')
+    geo_address = geocode_result[0]['formatted_address']
+    geo_directions = geocode_result[0]['geometry']['location']
+    geo_geocode = geocode_result[0]['geometry']['location_type']
+    
+    lat = geo_directions['lat']
+    lng = geo_directions['lng']
+    
+    reverse_geocode_result = gmaps.reverse_geocode((lat, lng))
+    
+    now = datetime.now()
+    directions_result = gmaps.directions("Sydney Town Hall","Parramatta, NSW",mode="transit", departure_time=now)
+    #addressvalidation_result =  gmaps.addressvalidation(['1600 Amphitheatre Pk'], regionCode='US', locality='Mountain View', enableUspsCass=True)
 
+    #return geocode_result, reverse_geocode_result, directions_result, addressvalidation_result
+    #return geo_address, geo_directions, geo_geocode, reverse_geocode_result, directions_result, addressvalidation_result
+    return geo_address, geo_directions, geo_geocode
 
 from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
 import torch
@@ -123,8 +121,8 @@ description = """Chatbot With persistent memory dataset allowing multiagent syst
 def get_base(filename): 
         basedir = os.path.dirname(__file__)
         print(basedir)
-        #loadPath = basedir + "\\" + filename # works on windows
-        loadPath = basedir + filename # works on ubuntu
+        loadPath = basedir + "\\" + filename # works on windows
+        #loadPath = basedir + filename # works on ubuntu
         print(loadPath)
         return loadPath
     
@@ -163,6 +161,7 @@ with gr.Blocks() as demo:
   with gr.Row():
     t1 = gr.Textbox(lines=1, default="", label="Chat Text:")
     b1 = gr.Button("Respond and Retrieve Messages")
+    b2 = gr.Button("Get Map Information")
     
   with gr.Row(): # inputs and buttons
     s1 = gr.State([])
@@ -170,7 +169,13 @@ with gr.Blocks() as demo:
   with gr.Row(): # inputs and buttons
     file = gr.File(label="File")
     s2 = gr.Markdown()
-
+  with gr.Row():
+    df21 = gr.Textbox(lines=4, default="", label="Geocode1:")
+    df22 = gr.Textbox(lines=4, default="", label="Geocode2:")
+    df23 = gr.Textbox(lines=4, default="", label="Geocode3:")
+    df3 = gr.Dataframe(wrap=True, max_rows=1000, overflow_row_behaviour= "paginate")
+    df4 = gr.Dataframe(wrap=True, max_rows=1000, overflow_row_behaviour= "paginate")
   b1.click(fn=chat, inputs=[t1, s1], outputs=[s1, df1, file]) 
+  b2.click(fn=GetMapInfo, inputs=[t1], outputs=[df21, df22, df23]) 
     
 demo.launch(debug=True, show_error=True)