Create app.py

app.py

@@ -0,0 +1,17 @@
+import torch, gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+MODEL_ID = "ogrnz/t5-chat-titles"
+TOKENIZER_ID = "google-t5/t5-small"
+
+tokenizer = AutoTokenizer.from_pretrained(TOKENIZER_ID)
+model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_ID)
+device = 0 if torch.cuda.is_available() else -1
+summarizer = pipeline("summarization", model=model, tokenizer=tokenizer, device=device)
+summarizer("warm‑up")
+
+def make_title(prompt: str) -> str:
+    return summarizer(prompt, max_length=16, min_length=3)[0]["summary_text"]
+
+demo = gr.Interface(fn=make_title, inputs="text", outputs="text", title="Title Generator")
+demo.launch(server_name="0.0.0.0", server_port=5000)