Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from transformers import pipeline
+tokenizer = AutoTokenizer.from_pretrained("Imran1/gpt2-urdu-news")
+model = AutoModelForCausalLM.from_pretrained("Imran1/gpt2-urdu-news")
+pipe = pipeline('text-generation',model=model, tokenizer=tokenizer)
+
+
+def text_generate(text):
+    generate_text = pipe(f"{text}", max_length = 200,top_k=200, temperature=0.7, top_p=0.95)
+    return generate_text[0]['generated_text']
+    
+
+import gradio as gr
+exmp=["درمدی قیمتوں میں","ایک فیصلے میں کہا کہ"]
+
+gr.Interface(fn=text_generate, inputs="text", outputs="text", examples=exmp,title= "FINE TUNE GPT2 FOR URDU NEWS TEXT GENERATION").launch()