Upload 2 files

APP.py

@@ -0,0 +1,34 @@
+#  GPT-2 Text Generation App with Gradio
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+import gradio as gr
+
+# Load GPT-2 model and tokenizer
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+
+#  Define a function to generate text
+def generate_text(prompt, max_length=50, temperature=1.0, top_p=0.95):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(
+        inputs.input_ids,
+        max_length=max_length,
+        do_sample=True,
+        temperature=temperature,
+        top_p=top_p,
+        pad_token_id=tokenizer.eos_token_id
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+#  Build the Gradio app interface
+gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(lines=2, label="Enter your prompt here"),
+        gr.Slider(20, 100, value=50, step=10, label="Max Length"),
+        gr.Slider(0.1, 2.0, value=1.0, step=0.1, label="Temperature"),
+        gr.Slider(0.5, 1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+    ],
+    outputs="textbox",
+    title="🔮 GPT-2 Text Generator",
+    description="Write a prompt and let GPT-2 continue the text. Adjust the sliders for more creative control!"
+).launch()

requirements.txt

@@ -1 +1,3 @@
-huggingface_hub==0.25.2
+transformers 
+torch
+gradio