Update README.md

README.md

@@ -47,10 +47,9 @@ widget:
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/658d8095a2a6a6e0da8bb8a6/NuTFBTMAsPgFwMxCjdqFv.png)
 
 
-Given a goal and tools can Ai intelligently use the tools to reach the goal ?
-What if it has a meagre 1.3b params/neurons akin to that of an owl ? 
-Can it follow instructions and plan to reach a goal ? 
-Apparently it can. 
+Given a goal and tools, can AI intelligently use the tools to reach the goal?
+What if it has a meagre 1.3b params/neurons akin to that of an owl? Can it follow instructions and plan to reach a goal? 
+Apparently it can!
 Releasing `pip-code-bandit` and `pipflow` 
 -- a model and a library to manage and run goal oriented agentic system.
 
@@ -61,17 +60,18 @@ Releasing `pip-code-bandit` and `pipflow`
 -- number of params ~ 1.3b [2.9 Gb GPU memory footprint]
 -- sequence length ~ 16.3k [Can go higher but will show performance degradation]
 -- license - apache 2.0
+-- instruction following , RL tuned.
 -- tasks:
-1. complex planning of sequential function calls with right params to accomplish a goal | a list of callables
-2. function calling | doc or code and goal
-3. code generation | plan and goal
-4. code generation | goal
-5. doc generation | code
-6. code generation | doc
-7. file recreated in json | any raw data
-8. corrected generation | new instruction with error
+1. complex planning(plan) of sequential function calls | a list of callables and goal
+2. corrected plan | feedback instructions with error
+3. function calling | doc or code and goal
+4. code generation | plan and goal
+5. code generation | goal
+6. doc generation | code
+7. code generation | doc
+8. file parsed to json | any raw data
+9. sql generation | schema, question, instructions and examples
 
--- instruction following , RL tuned.
 ```
 
 
@@ -93,7 +93,7 @@ complete open sourced - apache 2.0. License
 ### NOTE:
 
 
-If you wish to try this model without utilizing your GPU, we have hosted the model on our end. To execute the library using the hosted playground model, initialize the generator as shown below:
+If you wish to try this model without utilizing your GPU, we have hosted the model on our end. To execute the library using the hosted model, initialize the generator as shown below:
 
 ```bash
 pip3 install git+https://github.com/PipableAI/pipflow.git
@@ -137,11 +137,11 @@ For detailed usage refer to the [colab_notebook](https://colab.research.google.c
 ### Model Use
 
 ```bash
-pip install transformers
-pip install accelerate
+pip install transformers accelerate torch
 ```
 
 ```python
+import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from accelerate import Accelerator
 model =AutoModelForCausalLM.from_pretrained("PipableAI/pip-code-bandit",torch_dtype=torch.bfloat16,device_map="auto")