Hugging Face's logo

Spaces:
Shyamnath
/
Inferencing
Sleeping

App Files Community
Inferencing
File size: 1,253 Bytes 
6ff1f88
 
 
 
 
 
 
 
 
 
 
 
 
 
b1f7fbe
6ff1f88
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
from typing import Dict

# API Provider mapping - Maps model provider names to their API key column names
PROVIDER_MAP: Dict[str, str] = {
    "GROQ MODELS": "GROQ API ",  # Note the trailing space
    "COHERE": "COHERE  AI",
    "SambaNova": "Samba api key",
    "GEMINI": "GEMINI API",
    # New providers will be automatically detected from MODELS.csv
    # Their API key column names should match the format: "{PROVIDER} API" or "{PROVIDER} api key"
}

# API Configuration
API_HOST = "0.0.0.0"
API_PORT = 7860

# CORS Configuration
CORS_SETTINGS = {
    "allow_origins": ["*"],
    "allow_credentials": True,
    "allow_methods": ["*"],
    "allow_headers": ["*"]
}

# Logging Configuration
LOG_CONFIG = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "standard": {
            "format": "%(asctime)s [%(levelname)s] %(name)s: %(message)s"
        }
    },
    "handlers": {
        "default": {
            "level": "INFO",
            "formatter": "standard",
            "class": "logging.StreamHandler",
            "stream": "ext://sys.stdout"
        }
    },
    "loggers": {
        "": {
            "handlers": ["default"],
            "level": "INFO",
            "propagate": True
        }
    }
}