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README.md

@@ -1,12 +1,25 @@
 ---
 title: Text Playground
-emoji: 💻
-colorFrom: pink
-colorTo: yellow
+emoji: ✍️
+colorFrom: indigo
+colorTo: purple
 sdk: gradio
-sdk_version: 6.0.2
+sdk_version: "6.0.2"
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## ✍️ Text Playground
+
+Generate creative text with Zephyr-7B via the HuggingFace Inference API.
+
+## Features
+
+- Adjustable temperature and max tokens
+- Creative text generation
+- No model downloads - uses API
+
+## Setup
+
+Add your `HF_TOKEN` as a Secret in Space Settings.

app.py

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+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Get token from environment (set in HF Space secrets)
+HF_TOKEN = os.environ.get("HF_TOKEN", "")
+client = InferenceClient(token=HF_TOKEN) if HF_TOKEN else InferenceClient()
+
+
+def generate(prompt: str, max_tokens: int, temperature: float) -> str:
+    """Generate text from prompt."""
+    if not prompt.strip():
+        return "✏️ Enter a prompt!"
+    
+    try:
+        response = client.chat.completions.create(
+            model="HuggingFaceH4/zephyr-7b-beta",
+            messages=[{"role": "user", "content": prompt}],
+            max_tokens=max_tokens,
+            temperature=temperature,
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"❌ Error: {e}"
+
+
+with gr.Blocks(title="Text Playground") as demo:
+    gr.Markdown("# ✍️ Text Playground\nGenerate creative text with powerful language models!")
+
+    prompt = gr.Textbox(
+        label="Your prompt",
+        placeholder="Write a haiku about coding...",
+        lines=3,
+        autofocus=True,
+    )
+
+    with gr.Row(equal_height=True):
+        max_tokens = gr.Slider(
+            minimum=10, maximum=200, value=100, step=10,
+            label="Max tokens"
+        )
+        temperature = gr.Slider(
+            minimum=0.1, maximum=1.5, value=0.7, step=0.1,
+            label="Temperature (creativity)"
+        )
+
+    output = gr.Textbox(label="Generated text", lines=6, interactive=False)
+    btn = gr.Button("Generate ✨", variant="primary")
+
+    btn.click(generate, inputs=[prompt, max_tokens, temperature], outputs=output)
+    prompt.submit(generate, inputs=[prompt, max_tokens, temperature], outputs=output)
+
+    gr.Examples(
+        examples=[
+            ["Write a haiku about machine learning", 50, 0.8],
+            ["Explain quantum computing to a 5-year-old", 150, 0.5],
+            ["Give me 3 creative startup ideas", 150, 0.9],
+        ],
+        inputs=[prompt, max_tokens, temperature],
+    )
+
+demo.queue()
+demo.launch()

requirements.txt

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+gradio>=6.0.0
+huggingface_hub>=0.23.0
+