Fix space

app.py

@@ -62,30 +62,6 @@ def parse_llm_output(output):
     return dataframe, rationale
 
 
-class AsyncLRUCache:
-    def __init__(self, maxsize=100):
-        self.cache = OrderedDict()
-        self.maxsize = maxsize
-
-    async def get(self, key):
-        if key not in self.cache:
-            return None
-        self.cache.move_to_end(key)
-        return self.cache[key]
-
-    async def aset(self, key, value):
-        self.set(key, value)
-
-    def set(self, key, value):
-        if key in self.cache:
-            self.cache.move_to_end(key)
-        self.cache[key] = value
-        if len(self.cache) > self.maxsize:
-            self.cache.popitem(last=False)
-
-# Instantiate the cache
-cache = AsyncLRUCache(maxsize=500)
-
 preset_values = {
     "Fisherman's Wharf, San Francisco": {'lat': 37.808332, 'lon': -122.415715},
     'Ghirardelli Square, San Francisco': {'lat': 37.80587075, 'lon': -122.42294914207058},
@@ -133,15 +109,11 @@ preset_values = {
     'Fort Point National Historic Site, San Francisco': {'lat': 37.81045495, 'lon': -122.47713831312802},
     'Presidio of San Francisco': {'lat': 37.798745600000004, 'lon': -122.46458892410745}
 }
-for key, value in preset_values.items():
-    cache.set(key, value)
-
 
 async def geocode_address(address):
     # Check if the result is in cache
-    cached_location = await cache.get(address)
-    if cached_location:
-        return cached_location
+    if address in preset_values:
+        return preset_values[address]
 
     # If not in cache, perform the geolocation request
     async with Nominatim(
@@ -151,8 +123,6 @@ async def geocode_address(address):
         location = await geolocator.geocode(address, timeout=10)
         if location:
             coords = {'lat': location.latitude, "lon": location.longitude}
-            # Save the result in cache for future use
-            await cache.aset(address, coords)
             return coords
         return None
 
@@ -162,11 +132,14 @@ async def ageocode_addresses(addresses):
     return locations
 
 def geocode_addresses(addresses):
-    loop = asyncio.get_event_loop()
+    try:
+        loop = asyncio.get_event_loop()
+    except RuntimeError:
+        loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(loop)
     result = loop.run_until_complete(ageocode_addresses(addresses))
     return result
 
-
 def create_map_from_markers(dataframe):
     coordinates = geocode_addresses(dataframe["name"])
     print({name: coordinates[i] for i, name in enumerate(dataframe["name"].to_list())})
@@ -228,7 +201,7 @@ with gr.Blocks(
         secondary_hue=gr.themes.colors.blue,
     )
 ) as demo:
-    gr.Markdown("# 🗺️ AI Travel Planner 🏕️\nThis personal travel planner is based on Mixtral-8x7B, called through the Hugging Face API. Describe your ideal trip below, and let our AI assistant guide you!\n Beware, the model does not really have access to train or plane schedules, it is relying on general world knowledge for its propositions.")
+    gr.Markdown("# 🗺️ AI Travel Planner 🏕️\nThis personal travel planner is based on Llama-3-70B-Instruct, called through the Hugging Face API. Describe your ideal trip below, and let our AI assistant guide you!\n Beware, the model does not really have access to train or plane schedules, it is relying on general world knowledge for its propositions.")
     text = gr.Textbox(
         label="Describe your ideal trip:",
         value=description_taiwan,