diff --git a/api-example.py b/api-example.py
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+'''
+
+This is an example on how to use the API for oobabooga/text-generation-webui.
+
+Make sure to start the web UI with the following flags:
+
+python server.py --model MODEL --listen --no-stream
+
+Optionally, you can also add the --share flag to generate a public gradio URL,
+allowing you to use the API remotely.
+
+'''
+
+import requests
+
+# Server address
+server = "127.0.0.1"
+
+# Generation parameters
+# Reference: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
+params = {
+    'max_new_tokens': 200,
+    'do_sample': True,
+    'temperature': 0.5,
+    'top_p': 0.9,
+    'typical_p': 1,
+    'repetition_penalty': 1.05,
+    'top_k': 0,
+    'min_length': 0,
+    'no_repeat_ngram_size': 0,
+    'num_beams': 1,
+    'penalty_alpha': 0,
+    'length_penalty': 1,
+    'early_stopping': False,
+}
+
+# Input prompt
+prompt = "What I would like to say is the following: "
+
+response = requests.post(f"http://{server}:7860/run/textgen", json={
+    "data": [
+        prompt,
+        params['max_new_tokens'],
+        params['do_sample'],
+        params['max_new_tokens'],
+        params['temperature'],
+        params['top_p'],
+        params['typical_p'],
+        params['repetition_penalty'],
+        params['top_k'],
+        params['min_length'],
+        params['no_repeat_ngram_size'],
+        params['num_beams'],
+        params['penalty_alpha'],
+        params['length_penalty'],
+        params['early_stopping'],
+    ]
+}).json()
+
+reply = response["data"][0]
+print(reply)