Spaces:
Sleeping
Sleeping
Update excel_chat.py
Browse files- excel_chat.py +45 -0
excel_chat.py
CHANGED
@@ -5,6 +5,51 @@ import os
|
|
5 |
import pandas as pd
|
6 |
import numpy as np
|
7 |
from groq import Groq
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
|
9 |
def ask_llm(query, input, client_index):
|
10 |
messages = [
|
|
|
5 |
import pandas as pd
|
6 |
import numpy as np
|
7 |
from groq import Groq
|
8 |
+
import requests
|
9 |
+
from bs4 import BeautifulSoup
|
10 |
+
|
11 |
+
|
12 |
+
|
13 |
+
|
14 |
+
def extract_statuses(url):
|
15 |
+
# Send a GET request to the webpage
|
16 |
+
response = requests.get(url)
|
17 |
+
|
18 |
+
# Parse the webpage content
|
19 |
+
soup = BeautifulSoup(response.content, 'html.parser')
|
20 |
+
|
21 |
+
# Find all links in the webpage
|
22 |
+
links = soup.find_all('a')
|
23 |
+
|
24 |
+
# Identify and download the Excel file
|
25 |
+
for link in links:
|
26 |
+
href = link.get('href')
|
27 |
+
if href and (href.endswith('.xls') or href.endswith('.xlsx')):
|
28 |
+
excel_url = href if href.startswith('http') else url + href
|
29 |
+
excel_response = requests.get(excel_url)
|
30 |
+
file_name = 'guide_status.xlsx' #excel_url.split('/')[-1]
|
31 |
+
|
32 |
+
# Save the file
|
33 |
+
with open(file_name, 'wb') as f:
|
34 |
+
f.write(excel_response.content)
|
35 |
+
|
36 |
+
# Read the Excel file
|
37 |
+
df = pd.read_excel(file_name)
|
38 |
+
|
39 |
+
# Check if 'TDoc Status' column exists and extract unique statuses
|
40 |
+
if 'TDoc Status' in df.columns:
|
41 |
+
unique_statuses = df['TDoc Status'].unique().tolist()
|
42 |
+
print(f'Downloaded {file_name} and extracted statuses: {unique_statuses}')
|
43 |
+
|
44 |
+
|
45 |
+
if 'withdrawn' in unique_statuses:
|
46 |
+
unique_statuses.remove('withdrawn')
|
47 |
+
return unique_statuses
|
48 |
+
else:
|
49 |
+
print(f"'TDoc Status' column not found in {file_name}")
|
50 |
+
return []
|
51 |
+
|
52 |
+
|
53 |
|
54 |
def ask_llm(query, input, client_index):
|
55 |
messages = [
|