Update app.py

Add model selector

app.py

@@ -1,5 +1,25 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import json, os
+
+MODEL_FILE = "models.json"
+
+def load_models():
+    if os.path.exists(MODEL_FILE):
+        return json.load(open(MODEL_FILE))
+    return {"Default (GPT‑OSS‑20B)": "openai/gpt-oss-20b"}
+
+def save_models(models):
+    json.dump(models, open(MODEL_FILE, "w"))
+
+models = load_models()
+
+
+def add_model(link):
+    name = link.split("/")[-1]
+    models[name] = link
+    save_models(models)
+    return gr.Dropdown.update(choices=list(models.keys()), value=name)
 
 
 def respond(
@@ -9,17 +29,14 @@ def respond(
     max_tokens,
     temperature,
     top_p,
+    model_choice,
     hf_token: gr.OAuthToken,
 ):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+    model_id = models[model_choice]
+    client = InferenceClient(token=hf_token.token, model=model_id)
 
     messages = [{"role": "system", "content": system_message}]
-
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -40,31 +57,26 @@ def respond(
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-chatbot = gr.ChatInterface(
-    respond,
-    type="messages",
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
 with gr.Blocks() as demo:
     with gr.Sidebar():
         gr.LoginButton()
-    chatbot.render()
+        gr.Markdown("### Add a new model")
+        new_model = gr.Textbox(label="Model repo (e.g. meta-llama/Llama-3-8B)")
+        model_dropdown = gr.Dropdown(list(models.keys()), label="Choose model")
+        add_button = gr.Button("Add model")
+        add_button.click(add_model, new_model, model_dropdown)
 
+    chatbot = gr.ChatInterface(
+        respond,
+        type="messages",
+        additional_inputs=[
+            gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+            gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+            gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
+            model_dropdown,
+        ],
+    )
 
 if __name__ == "__main__":
     demo.launch()