Fix Dockerfile and README: update MODEL_ID to google/gemma-3n-E4B-it and optimize environment variables

Dockerfile

@@ -35,15 +35,14 @@ COPY . /app/
 # Créer les dossiers cache et donner les droits d'écriture
 RUN mkdir -p /app/cache/huggingface /tmp/hf_cache /tmp/model_offload && \
     chmod -R 777 /app/cache/huggingface /tmp/hf_cache /tmp/model_offload
-ENV HF_HOME=/app/cache/huggingface
-
-# Variables d'environnement optimisées pour Hugging Face Spaces
-ENV PORT=7860
-ENV HOST=0.0.0.0
-ENV MODEL_ID=google/gemma-3n-e2b-it
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV HF_HOME=/tmp/hf_home
+ENV TRANSFORMERS_CACHE=/tmp/hf_home/transformers
+ENV HF_HUB_ENABLE_HF_TRANSFER=0
+ENV MODEL_ID=google/gemma-3n-E4B-it
 ENV DEVICE_MAP=cpu
 ENV MAX_NEW_TOKENS=256
-ENV PYTHONPATH=/app/src
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \

README.md

@@ -54,16 +54,18 @@ curl -X POST \
   https://huggingface.co/spaces/sido1991/apiagrilens/diagnose
 ```
 
-## Model Information
+## Configuration
 
-- **Model**: google/gemma-3n-e2b-it
-- **Type**: Image-to-Text
-- **Purpose**: Plant disease diagnosis
-- **Language**: French responses
+### Variables d'environnement
 
-## Environment Variables
+- **Model**: google/gemma-3n-E4B-it
+- **Device**: CPU (optimisé pour Hugging Face Spaces)
+- **Max Tokens**: 256
+- **Cache Directory**: /tmp/hf_home
 
-- `MODEL_ID`: Model identifier (default: google/gemma-3n-e2b-it)
-- `DEVICE_MAP`: Device mapping (default: auto)
-- `MAX_NEW_TOKENS`: Maximum tokens for generation (default: 256)
-- `HF_TOKEN`: Hugging Face token for model access
+### Variables configurables
+
+- `MODEL_ID`: Model identifier (default: google/gemma-3n-E4B-it)
+- `DEVICE_MAP`: Device mapping (default: cpu)
+- `MAX_NEW_TOKENS`: Maximum new tokens for generation (default: 256)
+- `HF_HOME`: Hugging Face cache directory (default: /tmp/hf_home)