Create app.py

app.py

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+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+import gradio as gr
+
+# Model ve tokenizer'ı yükle
+model_name = "eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep"
+tokenizer = GPT2Tokenizer.from_pretrained("ytu-ce-cosmos/turkish-gpt2")
+tokenizer.pad_token = tokenizer.eos_token
+model = GPT2LMHeadModel.from_pretrained(model_name)
+# parametrelere bağlı olarak text üretmek
+generation_config = {
+    'temperature': 0.1,       # rastgelelik için artırabilirim
+    "do_sample": True,
+    "max_new_tokens": 50,
+    'top_p': 0.9,             # Use top-p sampling
+    'repetition_penalty': 1.1, # tekrarı azaltır fakat anlamı bozabilir.
+    'eos_token_id': tokenizer.eos_token_id, # Set eos_token_id
+    'pad_token_id': tokenizer.pad_token_id,  # Set pad_token_id
+}
+
+def launch(input):
+    input_ids = tokenizer.encode(input, return_tensors="pt")
+    output = model.generate(input_ids, num_return_sequences=1, **generation_config)
+    output = tokenizer.decode(output[0], skip_special_tokens=True)
+    return output
+
+iface = gr.Interface(launch,
+                         inputs="text", 
+                         outputs="text",
+                         title="Text Generation with GPT-2",
+                         description="Enter a prompt and generate text using GPT-2.",
+                         theme="default")
+
+iface.launch()