Update Dockerfile

Dockerfile

@@ -22,16 +22,7 @@ ENV TRANSFORMERS_CACHE=/tmp/hf_cache
 EXPOSE 7860
 
 # Precompute embeddings at build time (optional: adjust if dataset is large)
-#RUN python -c "\
-import os, torch, pandas as pd;\
-from sentence_transformers import SentenceTransformer;\
-model = SentenceTransformer('./muril_combined_multilingual_model');\
-df = pd.read_csv('./muril_multilingual_dataset.csv').dropna(subset=['question','answer']);\
-answers = df['answer'].tolist();\
-embeddings = model.encode(answers, convert_to_tensor=True);\
-torch.save(embeddings, './answer_embeddings.pt');\
-print('✅ Precomputed embeddings saved');\
-"
+
 
 # Run FastAPI with uvicorn
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "]()