README.md

@@ -96,27 +96,6 @@ detections, features = api.process_spectrogram(spec)
 
 You can integrate the detections or the extracted features to your custom analysis pipeline.
 
-#### Using the Python API with HTTP
-
-```python
-from batdetect2 import api
-import io
-import requests
-
-AUDIO_URL = "<insert your audio url here>"
-
-# Process a whole file from a url
-results = api.process_url(AUDIO_URL)
-
-# Or, load audio and compute spectrograms
-# 'requests.get(AUDIO_URL).content' fetches the raw bytes. You are free to use other sources to fetch the raw bytes
-audio = api.load_audio(io.BytesIO(requests.get(AUDIO_URL).content))
-spec = api.generate_spectrogram(audio)
-
-# And process the audio or the spectrogram with the model
-detections, features, spec = api.process_audio(audio)
-detections, features = api.process_spectrogram(spec)
-```
 
 ## Training the model on your own data
 Take a look at the steps outlined in finetuning readme [here](batdetect2/finetune/readme.md) for a description of how to train your own model.