-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathredme_model.py
More file actions
84 lines (60 loc) · 2.13 KB
/
Copy pathredme_model.py
File metadata and controls
84 lines (60 loc) · 2.13 KB
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
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
import google.generativeai as genai
from dotenv import load_dotenv
import os
load_dotenv()
api_key = os.environ['GOOGLE_API_KEY']
with open('readme-sys-prpt.txt', 'r') as file:
sys_prpt = file.read()
genai.configure(api_key=api_key)
model = genai.GenerativeModel('gemini-1.5-pro', system_instruction=sys_prpt)
class ReadmeGenerator:
"""
A class to generate README files using the Gemini 1.5 Pro model.
Attributes:
chat (genai.Chat): The chat instance for interacting with the model.
"""
def __init__(self):
"""
Initializes the ReadmeGenerator instance.
Creates a new chat instance with the Gemini 1.5 Pro model.
"""
self.chat = model.start_chat(history=[])
def generate_readme(self, prompt: str) -> str:
"""
Generates a README file based on the given prompt.
Args:
prompt (str): The prompt to generate the README file.
Returns:
str: The generated README file content.
"""
response = self.chat.send_message(prompt)
return response.text
def provide_feedback(self, feedback: str) -> str:
"""
Provides feedback to the model for the generated README file.
Args:
feedback (str): The feedback to provide to the model.
Returns:
str: The response from the model after providing feedback.
"""
response = self.chat.send_message(feedback)
return response.text
readme_generator = ReadmeGenerator()
def get_final_response(prompt: str) -> str:
"""
Generates a README file based on the given prompt.
Args:
prompt (str): The prompt to generate the README file.
Returns:
str: The generated README file content.
"""
return readme_generator.generate_readme(prompt)
def update_with_feedback(feedback: str) -> str:
"""
Provides feedback to the model for the generated README file.
Args:
feedback (str): The feedback to provide to the model.
Returns:
str: The response from the model after providing feedback.
"""
return readme_generator.provide_feedback(feedback)