Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+model_name = "rohangbs/fine-tuned-gpt2"
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+model = GPT2LMHeadModel.from_pretrained(model_name)
+
+def generate_text(prompt):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=200, num_return_sequences=1)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Fine-Tuned GPT-2",
+    description="A GPT-2 model fine-tuned for custom Company dataset.",
+)
+
+interface.launch()