changed model

app/config.py

@@ -11,7 +11,7 @@ class Settings(BaseSettings):
 settings = Settings()
 
 # --- T5 Model Configuration ---
-T5_MODEL_NAME = "Ayush472/Technical_mcq_model" 
+T5_MODEL_NAME = "Ayush472/T5QuestionGenerator" 
 
 # --- Google Gemini API Configuration ---
 GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")

app/distractor_generator.py

@@ -1,4 +1,3 @@
-'''
 import google.generativeai as genai
 from .config import GOOGLE_API_KEY, GEMINI_MODEL_NAME, DISTRACTOR_BATCH_SIZE, MAX_PARALLEL_DISTRACTOR_BATCHES
 from .utils import get_logger, parse_json_from_response
@@ -237,4 +236,4 @@ async def generate_distractors(qa_pairs):
         return final_qa_with_distractors
     except Exception as e:
         logger.error(f"Error generating distractors: {e}", exc_info=True)
-        return [dict(qa, distractors=[]) for qa in qa_pairs]
+        return [dict(qa, distractors=[]) for qa in qa_pairs]'''

requirements.txt

@@ -13,4 +13,4 @@ tqdm==4.67.1
 gunicorn==23.0.0
 pydantic-settings==2.3.4
 gensim
-huggingface_hub==0.20.3
+huggingface_hub==0.34.0

scripts/prepare_models.py

@@ -20,7 +20,7 @@ try:
 except ImportError:
     # Fallback to a safe location if config can't be imported
     CACHE_BASE_DIR = os.getenv("CACHE_BASE_DIR", "/tmp/opportunity_t5_model_cache")
-    T5_MODEL_NAME = "Ayush472/Technical_mcq_model"
+    T5_MODEL_NAME = "Ayush472/T5QuestionGenerator"
     logger.info(f"Could not import from config, using fallback cache directory: {CACHE_BASE_DIR}")
 
 # Paths for optimized models