Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(model="openai/gpt-oss-20b")  # No token
+
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    messages = [{"role": "system", "content": system_message}]
+    messages += history
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+    try:
+        for chunk in client.chat_completion(
+            messages=messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            if hasattr(chunk.choices[0].delta, "content"):
+                token = chunk.choices[0].delta.content
+                response += token
+                yield response
+    except Exception as e:
+        yield f"⚠️ Error: {e}"
+
+chatbot = gr.ChatInterface(
+    fn=respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a helpful assistant.", label="System Message"),
+        gr.Slider(minimum=64, maximum=2048, value=512, step=1, label="Max Tokens"),
+        gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p"),
+    ],
+    title="🧠 CouncilShell Prototype",
+    description="Send a message and receive a streamed reply from the OSS 20B model — no login required.",
+)
+
+if __name__ == "__main__":
+    chatbot.launch()