Spaces:
Sleeping
Sleeping
fix
Browse files- classifiers/llm.py +25 -10
classifiers/llm.py
CHANGED
|
@@ -7,6 +7,11 @@ import random
|
|
| 7 |
import json
|
| 8 |
import asyncio
|
| 9 |
from typing import List, Dict, Any, Optional
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
from prompts import CATEGORY_SUGGESTION_PROMPT, TEXT_CLASSIFICATION_PROMPT
|
| 11 |
|
| 12 |
from .base import BaseClassifier
|
|
@@ -28,11 +33,16 @@ class LLMClassifier(BaseClassifier):
|
|
| 28 |
)
|
| 29 |
|
| 30 |
try:
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
)
|
| 37 |
|
| 38 |
# Parse JSON response
|
|
@@ -87,11 +97,16 @@ class LLMClassifier(BaseClassifier):
|
|
| 87 |
prompt = CATEGORY_SUGGESTION_PROMPT.format("\n---\n".join(sample_texts))
|
| 88 |
|
| 89 |
try:
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
)
|
| 96 |
|
| 97 |
# Parse response to get categories
|
|
|
|
| 7 |
import json
|
| 8 |
import asyncio
|
| 9 |
from typing import List, Dict, Any, Optional
|
| 10 |
+
import sys
|
| 11 |
+
import os
|
| 12 |
+
|
| 13 |
+
# Add the project root to the Python path
|
| 14 |
+
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
| 15 |
from prompts import CATEGORY_SUGGESTION_PROMPT, TEXT_CLASSIFICATION_PROMPT
|
| 16 |
|
| 17 |
from .base import BaseClassifier
|
|
|
|
| 33 |
)
|
| 34 |
|
| 35 |
try:
|
| 36 |
+
# Use the synchronous client method but run it in a thread pool
|
| 37 |
+
loop = asyncio.get_event_loop()
|
| 38 |
+
response = await loop.run_in_executor(
|
| 39 |
+
None,
|
| 40 |
+
lambda: self.client.chat.completions.create(
|
| 41 |
+
model=self.model,
|
| 42 |
+
messages=[{"role": "user", "content": prompt}],
|
| 43 |
+
temperature=0,
|
| 44 |
+
max_tokens=200,
|
| 45 |
+
)
|
| 46 |
)
|
| 47 |
|
| 48 |
# Parse JSON response
|
|
|
|
| 97 |
prompt = CATEGORY_SUGGESTION_PROMPT.format("\n---\n".join(sample_texts))
|
| 98 |
|
| 99 |
try:
|
| 100 |
+
# Use the synchronous client method but run it in a thread pool
|
| 101 |
+
loop = asyncio.get_event_loop()
|
| 102 |
+
response = await loop.run_in_executor(
|
| 103 |
+
None,
|
| 104 |
+
lambda: self.client.chat.completions.create(
|
| 105 |
+
model=self.model,
|
| 106 |
+
messages=[{"role": "user", "content": prompt}],
|
| 107 |
+
temperature=0.2,
|
| 108 |
+
max_tokens=100,
|
| 109 |
+
)
|
| 110 |
)
|
| 111 |
|
| 112 |
# Parse response to get categories
|