blob: 8f43039ad0259c67eda72d46ca75c5001e7f80ec (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
|
#!/bin/python3
#from google import genai
import os
import argparse
import requests
API_KEY=os.getenv('GEMINI_API_KEY')
API_URL=f'https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key={API_KEY}'
#client = genai.Client(api_key=os.getenv('GEMINI_API_KEY'))
#todo make modular
def main():
parser = argparse.ArgumentParser("gemini cli tool")
subparsers = parser.add_subparsers(dest='command', help='Command to execute')
parser_query = subparsers.add_parser('q', help='query the model')
parser_query.add_argument('query', nargs='+', help='the query string')
args = parser.parse_args()
if args.command == 'q':
query_text = ' '.join(args.query)
headers = {
'Content-Type': 'application/json'
}
data = { #todo options for other parameters
"contents": [
{
"parts": [
{
"text": query_text
}
]
}
]
}
#todo: also save the response to db
httpResponse = requests.post(API_URL, headers=headers, json=data)
json = httpResponse.json()
response = json['candidates'][0]['content']['parts'][0]['text']
print(response)
return
if __name__ == '__main__':
main()
|
