Update README.md

README.md

@@ -28,7 +28,7 @@ widget:
 - text: '<example_response>--code:def function_divide2(x): return x / 2--question:Document the code--doc:Description:This function takes a number and divides it by 2.Parameters:- x (numeric): The input value to be divided by 2.Returns:- float: The result of x divided by 2.Example:To call the function, use the following code:function_divide2(1.0)</example_response><function_code>def _plot_bounding_polygon(polygons_coordinates, output_html_path=bounding_polygon_map.html):map_center = [sum([coord[0]for polygon_coords in polygons_coordinatesfor coord in polygon_coords])/ sum([len(polygon_coords) for polygon_coords in polygons_coordinates]),sum([coord[1]for polygon_coords in polygons_coordinatesfor coord in polygon_coords])/ sum([len(polygon_coords) for polygon_coords in polygons_coordinates]),]my_map = folium.Map(location=map_center, zoom_start=12)for polygon_coords in polygons_coordinates:folium.Polygon(locations=polygon_coords,color=blue,fill=True,fill_color=blue,fill_opacity=0.2,).add_to(my_map)marker_cluster = MarkerCluster().add_to(my_map)for polygon_coords in polygons_coordinates:for coord in polygon_coords:folium.Marker(location=[coord[0], coord[1]], popup=fCoordinates: {coord}).add_to(marker_cluster)draw = Draw(export=True)draw.add_to(my_map)my_map.save(output_html_path)return output_html_path</function_code><question>Document the python code above giving function description ,parameters and return type and example how to call the function</question><doc>'
   example_title: example
 ---
-# pip-library-etl-1.3b
+# pip-code-bandit
 
 [pipableAi](https://www.pipable.ai/)
 
@@ -93,6 +93,38 @@ 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:
+
+```bash
+pip3 install git+https://github.com/PipableAI/pipflow.git
+```
+```python
+from pipflow import PipFlow
+
+generator = PipFlow()
+```
+
+We have hosted the model at https://playground.pipable.ai/infer. Hence, one can also make a POST request to this endpoint with the following payload:
+
+```json
+{
+    "model_name": "PipableAI/pip-code-bandit",
+    "prompt": "prompt",
+    "max_new_tokens": "400"
+}
+```
+
+```bash
+curl -X 'POST' \
+  'https://playground.pipable.ai/infer' \
+  -H 'accept: application/json' \
+  -H 'Content-Type: application/x-www-form-urlencoded' \
+  -d 'model_name=PipableAI%2Fpip-code-bandit&prompt="YOUR PROMPT"&max_new_tokens=400'
+```
+
+Alternatively, you can directly access UI endpoint at https://playground.pipable.ai/docs#/default/infer_infer_post.
+
+
 
 ### Library use