Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+import transformers
+from transformers import AutoModelForCausalLM, AutoModelWithLMHead, AutoTokenizer, pipeline
+from transformers import GPT2Tokenizer, GPT2Model
+
+
+general_model = AutoModelForCausalLM.from_pretrained('gpt2')
+general_generator = pipeline("text-generation", model=general_model, tokenizer="gpt2")
+general_result = general_generator("Today is ", max_length=700)
+general_result[0]["generated_text"]
+
+
+def generator(start_your_text = ''):
+  result = general_generator(start_your_text) 
+  return result[0]["generated_text"]
+
+iface = gr.Interface(fn=generator, inputs="text", outputs="text")
+iface.launch()