fixed cmd

app.py

@@ -22,12 +22,12 @@ def run_evaluation(model_name):
     try:
         # Start manifest server in background with explicit CUDA_VISIBLE_DEVICES
         manifest_cmd = f"""
-        CUDA_VISIBLE_DEVICES=0 HF_TOKEN={os.environ['HF_TOKEN']} cd duckdb-nsql/ && 
-        python -m manifest.api.app 
-        --model_type huggingface 
-        --model_generation_type text-generation 
-        --model_name_or_path {model_name} 
-        --fp16 
+        CUDA_VISIBLE_DEVICES=0 HF_TOKEN={os.environ['HF_TOKEN']} cd duckdb-nsql/ && \
+        python -m manifest.api.app \
+        --model_type huggingface \
+        --model_generation_type text-generation \
+        --model_name_or_path {model_name} \
+        --fp16 \
         --device 0
         """
         manifest_process = subprocess.Popen(manifest_cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
@@ -35,16 +35,16 @@ def run_evaluation(model_name):
 
         # Run inference
         inference_cmd = f"""
-        cd duckdb-nsql/ &&
-        python eval/predict.py 
-        predict 
-        eval/data/dev.json 
-        eval/data/tables.json 
-        --output-dir output/ 
-        --stop-tokens ';' 
-        --overwrite-manifest 
-        --manifest-client huggingface 
-        --manifest-connection http://localhost:5000 
+        cd duckdb-nsql/ && \
+        python eval/predict.py \
+        predict \
+        eval/data/dev.json \
+        eval/data/tables.json \
+        --output-dir output/ \
+        --stop-tokens ';' \
+        --overwrite-manifest \
+        --manifest-client huggingface \
+        --manifest-connection http://localhost:5000 \
         --prompt-format duckdbinstgraniteshort
         """
         inference_result = subprocess.run(inference_cmd, shell=True, check=True, capture_output=True, text=True)
@@ -59,12 +59,12 @@ def run_evaluation(model_name):
 
         # Run evaluation
         eval_cmd = f"""
-        cd duckdb-nsql/ &&
-        python eval/evaluate.py evaluate 
-        --gold eval/data/dev.json 
-        --db eval/data/databases/ 
-        --tables eval/data/tables.json 
-        --output-dir output/ 
+        cd duckdb-nsql/ && \
+        python eval/evaluate.py evaluate \
+        --gold eval/data/dev.json \
+        --db eval/data/databases/ \
+        --tables eval/data/tables.json \
+        --output-dir output/ \
         --pred output/{json_file}
         """
         eval_result = subprocess.run(eval_cmd, shell=True, check=True, capture_output=True, text=True)