Update README.md

README.md

@@ -37,14 +37,41 @@ Known Limitations: Cannot provide information in other languages ​​and may h
 License: [cc-by-nc-sa4.0]
 Conditions of Use: The model is available for non-commercial and educational use. It is recommended to review the license terms.
 
-## Ejemplo de Uso
+## Example
 
-Puedes interactuar con el modelo AdemGPT utilizando la biblioteca Transformers de Hugging Face. Aquí tienes un ejemplo simple de cómo generar texto:
+Install request:
 
-```python
-from transformers import pipeline
+pip install requests
 
-generator = pipeline('text-generation', model='Trat80/AdemGPT')
-generated_text = generator("Una vez en un lugar lejano, ", max_length=100, num_return_sequences=1)
+After that, put that in you python:
 
-print(generated_text)
+import requests
+import json
+
+
+model_name = 'Trat80/AdemGPT'  
+api_token = 'tu_api_token'  # You token api
+
+
+input_text = "Hi! My Name Is AdemGPT!"
+
+
+headers = {
+    'Authorization': f'Bearer {api_token}',
+    'Content-Type': 'application/json'
+}
+
+data = {
+    'inputs': input_text,
+    'parameters': {
+        'max_new_tokens': 100
+    }
+}
+
+response = requests.post(f'https://api-inference.huggingface.co/models/{model_name}', headers=headers, data=json.dumps(data))
+
+if response.status_code == 200:
+    generated_text = response.json().get('generated_text')
+    print(generated_text)
+else:
+    print("Error en la solicitud:", response.status_code, response.text)