Fix command path in docs (#109)

* fix command path

* fix bash -> python

docs/tutorial.configs.rst

@@ -8,7 +8,7 @@ To replicate the experiments, just run these bash scripts. For example, to train
 
 .. code-block::
 
-    bash run_scripts/lavis/blip/train/train_retrieval_coco.sh
+    bash run_scripts/blip/train/train_retrieval_coco.sh
 
 Inside the scripts, we can see 
 

docs/tutorial.evaluation.rst

@@ -12,7 +12,7 @@ most of the public dataset, to download MSCOCO dataset, simply run
 
 .. code-block:: bash
 
-    cd lavis/datasets/download_scripts && bash download_coco.py
+    cd lavis/datasets/download_scripts && python download_coco.py
 
 This will put the downloaded dataset at a default cache location ``cache`` used by LAVIS.
 
@@ -31,10 +31,10 @@ To evaluate pre-trained model, simply run
 
 .. code-block:: bash
 
-    bash run_scripts/lavis/blip/eval/eval_coco_cap.sh
+    bash run_scripts/blip/eval/eval_coco_cap.sh
 
 Or to evaluate a large model:
 
 .. code-block:: bash
 
-    bash run_scripts/lavis/blip/eval/eval_coco_cap_large.sh
+    bash run_scripts/blip/eval/eval_coco_cap_large.sh

docs/tutorial.training-example.rst

@@ -7,7 +7,7 @@ To finetune the model, we have prepared a run script for you, which can run as f
 
 .. code-block:: bash
 
-    bash run_scripts/lavis/blip/train/train_caption_coco_large.sh
+    bash run_scripts/blip/train/train_caption_coco_large.sh
 
 This will finetune the pre-trained BLIP large model into a new model that can be used for captioning.
 
@@ -142,4 +142,4 @@ Here we specify runner-related arguments, including
 Available Configurations
 #########################
 
-See :ref:`config` for the full list of available configurations and their descriptions.
+See :ref:`config` for the full list of available configurations and their descriptions.