Change comments to english

app.py

@@ -1,40 +1,40 @@
 import gradio as gr
 import requests
-import os  # Importiere das os-Modul, um Secrets zu verwenden
+import os  # Import the os module to use environment variables
 
-# Hugging Face API Key wird aus den Hugging Face Secrets geladen
+# Load Hugging Face API Key from Hugging Face Secrets
 HF_API_KEY = os.getenv("IBMGraniteTextSummary")  
 
-# IBM Granite 3B Modell
+# IBM Granite 3B model
 MODEL_NAME = "ibm-granite/granite-3.1-1b-a400m-instruct"
 
-# Funktion zur Textzusammenfassung
+# Function for text summarization
 def summarize_text(text):
     if not HF_API_KEY:
-        return "Fehler: Kein API-Key gefunden. Bitte überprüfe die Hugging Face Secrets."
+        return "Error: No API key found. Please check your Hugging Face Secrets."
     
     url = f"https://api-inference.huggingface.co/models/{MODEL_NAME}"
     headers = {"Authorization": f"Bearer {HF_API_KEY}"}
-    prompt = f"Summarize the following text in 5 sentences. Concentrate on the main points.:\n\n{text}"
+    prompt = f"Summarize the following text in 5 sentences. Focus on the key points:\n\n{text}"
     payload = {"inputs": prompt}
 
     response = requests.post(url, headers=headers, json=payload)
     
     if response.status_code == 200:
         result = response.json()
-        return result[0]["generated_text"] if result else "Keine Antwort erhalten."
+        return result[0]["generated_text"] if result else "No response received."
     else:
-        return f"Fehler: {response.status_code} - {response.text}"
+        return f"Error: {response.status_code} - {response.text}"
 
 # Gradio UI
 iface = gr.Interface(
     fn=summarize_text,
-    inputs=gr.Textbox(label="Gib deinen Text ein", lines=5),
-    outputs=gr.Textbox(label="Zusammenfassung"),
+    inputs=gr.Textbox(label="Enter your text", lines=5),
+    outputs=gr.Textbox(label="Summary"),
     title="IBM Granite Text Summarizer",
-    description="Dieses Tool nutzt IBM Granite-3B, um Texte zusammenzufassen. Gib einen langen Text ein, und Granite erstellt eine kurze Zusammenfassung!"
+    description="This tool uses IBM Granite-3B to summarize texts. Enter a long text, and Granite will generate a concise summary!"
 )
 
-# App starten
+# Launch the app
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()