numpy force pip install in dockerfile

Dockerfile

@@ -22,6 +22,7 @@ COPY app.py .
 COPY qwen_classifier/ ./qwen_classifier/
 COPY setup.py . 
 RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir numpy
 
 # Install PyTorch with CUDA support
 RUN pip install --no-cache-dir \

qwen_classifier/config.py

@@ -19,4 +19,4 @@ TAG_NAMES = [
     'trees'
     ]
 
-EVAL_LIMIT = 20
+EVAL_LIMIT = 8

requirements.txt

@@ -1,5 +1,4 @@
-# Core requirements
-numpy>=1.23.0  # Explicitly added
+# Core requirements from setup.py
 torch>=2.1.0
 transformers>=4.36.0
 click>=8.1.0
@@ -9,11 +8,11 @@ requests>=2.31.0
 pandas>=2.0.0
 pydantic>=2.0.0
 datasets>=2.14.0
-matplotlib>=3.7.0
+matplotlib>=3.7.0  # Added visualization library
 
 # Additional Space-specific requirements
 fastapi>=0.95.0
 uvicorn>=0.22.0
 accelerate>=0.24.0
 sentencepiece>=0.1.99
-auto-gptq>=0.5.0; sys_platform != 'win32'
+auto-gptq>=0.5.0; sys_platform != 'win32'  # Windows compatibility