yo

app.py

@@ -0,0 +1,118 @@
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+MODEL_ID = "play451/Moron"
+HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACEHUB_API_TOKEN")
+
+client = InferenceClient(
+    model=MODEL_ID,
+    token=HF_TOKEN,
+)
+
+def generate(prompt, max_tokens, temperature, top_p):
+    """Generate a response from play451/Moron."""
+    prompt = (prompt or "").strip()
+    if not prompt:
+        return "Please enter a prompt."
+
+    try:
+        result = client.text_generation(
+            prompt,
+            max_new_tokens=int(max_tokens),
+            temperature=float(temperature),
+            top_p=float(top_p),
+            do_sample=True,
+            return_full_text=False,
+        )
+        return result
+    except Exception as e:
+        return (
+            "Inference failed.\n\n"
+            f"{type(e).__name__}: {e}\n\n"
+            "If the model requires authenticated inference, add an HF_TOKEN "
+            "secret in the Space settings."
+        )
+
+examples = [
+    ["Hello! Introduce yourself."],
+    ["Write a short explanation of what you can do."],
+    ["Give me a creative idea for a Minecraft mod."],
+]
+
+with gr.Blocks(
+    title="play451/Moron Demo",
+    theme=gr.themes.Soft(),
+) as demo:
+    gr.Markdown(
+        """
+# 🤖 play451/Moron
+
+Interactive demo for **[play451/Moron](https://huggingface.co/play451/Moron)**.
+
+Enter a prompt below and generate text with the model.
+"""
+    )
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            prompt = gr.Textbox(
+                label="Prompt",
+                placeholder="Enter your prompt...",
+                lines=8,
+            )
+
+            with gr.Row():
+                generate_btn = gr.Button("Generate", variant="primary")
+                clear_btn = gr.ClearButton([prompt])
+
+        with gr.Column(scale=2):
+            output = gr.Textbox(
+                label="Generated text",
+                lines=14,
+                show_copy_button=True,
+            )
+
+    with gr.Accordion("Generation settings", open=False):
+        max_tokens = gr.Slider(
+            minimum=16,
+            maximum=2048,
+            value=512,
+            step=1,
+            label="Max new tokens",
+        )
+        temperature = gr.Slider(
+            minimum=0.1,
+            maximum=2.0,
+            value=0.7,
+            step=0.05,
+            label="Temperature",
+        )
+        top_p = gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.9,
+            step=0.05,
+            label="Top-p",
+        )
+
+    gr.Examples(
+        examples=examples,
+        inputs=prompt,
+        label="Examples",
+    )
+
+    generate_btn.click(
+        fn=generate,
+        inputs=[prompt, max_tokens, temperature, top_p],
+        outputs=output,
+    )
+
+    prompt.submit(
+        fn=generate,
+        inputs=[prompt, max_tokens, temperature, top_p],
+        outputs=output,
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+huggingface_hub>=0.34.0
+