fix: update README example to reflect correct import and usage for predictions

Author: kshitijrajsharma

README.md

@@ -2,32 +2,24 @@
 
 Run your fAIr Model Predictions anywhere ! 
 
-## Example on Collab 
+## Example on python 
 ```python
 # Install 
 !pip install fairpredictor
 
-# Import 
-from predictor import predict, DEFAULT_OAM_TMS_MOSAIC, DEFAULT_RAMP_MODEL
-import asyncio 
+import asyncio
 
-# Parameters for your predictions 
-bbox=[100.56228021333352,13.685230854641182,100.56383321235313,13.685961853747969]
-model_path=DEFAULT_RAMP_MODEL
-zoom_level=20
-tms_url=DEFAULT_OAM_TMS_MOSAIC
+from predictor import DEFAULT_OAM_TMS_MOSAIC, DEFAULT_RAMP_MODEL, predict
 
-# Run your prediction 
-my_predictions=asyncio.run(predict(bbox,model_path,zoom_level,tms_url))
-print(my_predictions)
-
-## Visualize your predictions 
+# Parameters for your predictions
+bbox = [100.56228021333352, 13.685230854641182, 100.56383321235313, 13.685961853747969]
+model_path = DEFAULT_RAMP_MODEL
+zoom_level = 20
+tms_url = DEFAULT_OAM_TMS_MOSAIC
 
-import geopandas as gpd
-import matplotlib.pyplot as plt
-gdf = gpd.GeoDataFrame.from_features(my_predictions)
-gdf.plot()
-plt.show()
+# Run your prediction
+my_predictions = asyncio.run(predict(bbox, model_path, zoom_level, tms_url))
+print(my_predictions)
 ```
 
 Works on CPU ! Can work on serverless functions, No other dependencies to run predictions