Update app.py

app.py

@@ -7,7 +7,15 @@ tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
 model = GPT2LMHeadModel.from_pretrained("gpt2")
 
 def generate_text(prompt, max_length, temperature, top_k, top_p):
-    # [Ihr Code zur Textgenerierung hier]
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, 
+                             max_length=max_length, 
+                             temperature=temperature, 
+                             top_k=top_k, 
+                             top_p=top_p, 
+                             num_return_sequences=1)
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text
 
 iface = gr.Interface(
     fn=generate_text, 
@@ -20,4 +28,4 @@ iface = gr.Interface(
     ],
     outputs="text"
 )
-iface.launch()
+iface.launch()