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README.md

@@ -1,14 +1,11 @@
 ---
-title: Adaption Opus 100 Translation Demo
-emoji: 🌖
-colorFrom: yellow
-colorTo: blue
+title: Adaption OPUS 100 Translation SFT 31B
+emoji: 🌐
+colorFrom: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 6.19.0
-python_version: '3.13'
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient()
+
+def translate(prompt, max_tokens=256, temperature=0.3, top_p=0.9):
+    output = client.text_generation(
+        prompt,
+        model="google/gemma-4-31B-it",
+        max_new_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p,
+    )
+    return output
+
+demo = gr.Interface(
+    fn=translate,
+    inputs=[
+        gr.Textbox(label="Translation Prompt", placeholder="Translate to French: The weather is nice today.", lines=3),
+        gr.Slider(minimum=64, maximum=1024, value=256, step=64, label="Max Tokens"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.3, step=0.05, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top P"),
+    ],
+    outputs=gr.Textbox(label="Translation", lines=6),
+    title="Adaption OPUS 100 Translation SFT 31B",
+    description="LoRA adapter fine-tuned on 20K parallel translation pairs across 100 languages using Adaption's AutoScientist platform. Base model: Gemma 4 31B.",
+)
+
+if __name__ == "__main__":
+    demo.launch()