Create app.py

app.py

@@ -0,0 +1,18 @@
+import os
+os.system("pip install gradio transformers")
+
+import gradio as gr
+import torch
+from transformers import GPT2Tokenizer, GPT2LMHeadModel
+
+tokenizer = GPT2Tokenizer.from_pretrained("RandomNameAnd6/DharGPT-Tokenizer")
+model = GPT2LMHeadModel.from_pretrained("RandomNameAnd6/DharGPT").eval()
+
+def generate_text(prompt):
+  input_ids = tokenizer.encode(prompt, return_tensors="pt")
+  output = model.generate(input_ids, max_length=512, temperature=0.9, do_sample=True)
+  text = tokenizer.decode(output[0], skip_special_tokens=True)
+  return text
+
+demo = gr.Interface(fn=generate_text, inputs="text", outputs="text", live=True)
+demo.launch()