Upload usage_example.py with huggingface_hub
Browse files- usage_example.py +28 -0
usage_example.py
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import json
|
2 |
+
from ollama import Client
|
3 |
+
|
4 |
+
# Load system prompt
|
5 |
+
with open('system_prompt.json', 'r') as f:
|
6 |
+
config = json.load(f)
|
7 |
+
SYSTEM_PROMPT = config['system_prompt']
|
8 |
+
|
9 |
+
# Initialize client
|
10 |
+
client = Client(
|
11 |
+
host="https://ollama.com",
|
12 |
+
headers={'Authorization': 'YOUR_OLLAMA_API_KEY'}
|
13 |
+
)
|
14 |
+
|
15 |
+
# Optimize a prompt
|
16 |
+
def optimize_prompt(input_text):
|
17 |
+
response = client.chat(
|
18 |
+
model="gpt-oss:20b",
|
19 |
+
messages=[
|
20 |
+
{'role': 'system', 'content': SYSTEM_PROMPT},
|
21 |
+
{'role': 'user', 'content': input_text}
|
22 |
+
],
|
23 |
+
options={'temperature': 0.7}
|
24 |
+
)
|
25 |
+
return response['message']['content']
|
26 |
+
|
27 |
+
# Example usage
|
28 |
+
print(optimize_prompt("como fazer uma aula boa?"))
|