Create Gpt1

Gpt1

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the uncensoredgpt model and tokenizer
+model_name = "gpt2"  # Replace with the actual uncensoredgpt model name if available
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_text(prompt, max_length=100):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=max_length, num_return_sequences=1)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+    outputs="text",
+    title="UncensoredGPT",
+    description="A simple interface for the uncensoredgpt model."
+)
+
+# Launch the interface
+iface.launch()