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README.md

@@ -1,12 +1,6 @@
 ---
-title: GPT-2 Prompt
-emoji: 🌖
-colorFrom: blue
-colorTo: pink
+title: GPT-2_Prompt
+app_file: runningboi.py
 sdk: gradio
 sdk_version: 5.4.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+gradio

runningboi.py

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+import gradio as gr
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+# Load the GPT-2 small model and tokenizer
+model_name = "gpt2"
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+model = GPT2LMHeadModel.from_pretrained(model_name)
+
+def generate_text(prompt):
+    # Encode the input prompt
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    
+    # Generate text
+    outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
+    
+    # Decode the generated text
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text
+
+# Set up the Gradio interface with dynamic generation
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(label="Enter Prompt", placeholder="Type your prompt here..."),
+    outputs=gr.Textbox(label="Generated Text"),
+    title="GPT-2 Text Generator",
+    description="Enter a prompt to generate text using GPT-2 small. The text will update dynamically as you type."
+    
+)
+
+# Launch the app
+iface.launch(
+    share=True 
+)