Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -18,9 +18,9 @@ def fetch_weather_info(lat, lon):
|
|
18 |
return response.json()
|
19 |
|
20 |
# Function to fetch website content using the updated actor
|
21 |
-
def fetch_website_content(
|
22 |
apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
|
23 |
-
run_input = {
|
24 |
run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input)
|
25 |
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
26 |
return items if items else None
|
@@ -54,21 +54,50 @@ if website_name:
|
|
54 |
progress_bar.progress(50)
|
55 |
|
56 |
if google_maps_data:
|
57 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
google_maps_url = google_maps_data.get('url')
|
59 |
-
|
60 |
progress_bar.progress(75)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
61 |
|
62 |
if website_content_data:
|
63 |
website_df = pd.DataFrame(website_content_data)
|
64 |
st.table(website_df)
|
65 |
else:
|
66 |
st.write("Unable to retrieve website content.")
|
67 |
-
|
68 |
-
# Fetch customer reviews from the new API and display them
|
69 |
-
reviews_data = fetch_customer_reviews(google_maps_url)
|
70 |
-
reviews_df = pd.DataFrame(reviews_data)[['text']]
|
71 |
-
st.subheader("Customer Reviews from New API")
|
72 |
-
st.table(reviews_df)
|
73 |
else:
|
74 |
st.write("No results found for this website / company name on Google Maps.")
|
|
|
18 |
return response.json()
|
19 |
|
20 |
# Function to fetch website content using the updated actor
|
21 |
+
def fetch_website_content(website_url):
|
22 |
apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
|
23 |
+
run_input = {}
|
24 |
run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input)
|
25 |
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
26 |
return items if items else None
|
|
|
54 |
progress_bar.progress(50)
|
55 |
|
56 |
if google_maps_data:
|
57 |
+
# Display website link
|
58 |
+
website_link = google_maps_data.get('website')
|
59 |
+
st.text_area("Website Link:", website_link)
|
60 |
+
|
61 |
+
# Display location and fetch weather info
|
62 |
+
lat = google_maps_data["location"]["lat"]
|
63 |
+
lng = google_maps_data["location"]["lng"]
|
64 |
+
st.map(pd.DataFrame({'lat': [lat], 'lon': [lng]}))
|
65 |
+
weather_data = fetch_weather_info(lat, lng)
|
66 |
+
current_weather = weather_data.get("current", {})
|
67 |
+
temp = current_weather.get('temp')
|
68 |
+
temp_in_celsius = temp - 273.15
|
69 |
+
st.write(f"**Location:** {lat}, {lng}")
|
70 |
+
st.write(f"**Temperature:** {temp_in_celsius:.2f}°C")
|
71 |
+
st.write(f"**Weather:** {current_weather.get('weather')[0].get('description')}")
|
72 |
+
|
73 |
+
# Display Occupancy Data
|
74 |
+
st.subheader("Occupancy Data")
|
75 |
+
occupancy_data = google_maps_data.get('popularTimesHistogram', {})
|
76 |
+
for day, day_data in occupancy_data.items():
|
77 |
+
hours = [entry['hour'] for entry in day_data]
|
78 |
+
occupancy = [entry['occupancyPercent'] for entry in day_data]
|
79 |
+
st.write(day)
|
80 |
+
st.bar_chart(pd.Series(occupancy, index=hours))
|
81 |
+
|
82 |
+
# Fetch customer reviews from the new API
|
83 |
google_maps_url = google_maps_data.get('url')
|
84 |
+
reviews_data = fetch_customer_reviews(google_maps_url)
|
85 |
progress_bar.progress(75)
|
86 |
+
|
87 |
+
# Display the reviews from the new API
|
88 |
+
reviews_df = pd.DataFrame(reviews_data)[['text']]
|
89 |
+
st.subheader("Customer Reviews from New API")
|
90 |
+
st.table(reviews_df)
|
91 |
+
|
92 |
+
# Fetch and Display Website Content
|
93 |
+
st.subheader("Website Content")
|
94 |
+
website_content_data = fetch_website_content(website_link)
|
95 |
+
progress_bar.progress(100)
|
96 |
|
97 |
if website_content_data:
|
98 |
website_df = pd.DataFrame(website_content_data)
|
99 |
st.table(website_df)
|
100 |
else:
|
101 |
st.write("Unable to retrieve website content.")
|
|
|
|
|
|
|
|
|
|
|
|
|
102 |
else:
|
103 |
st.write("No results found for this website / company name on Google Maps.")
|