:see_no_evil: hide unused functions to avoid cluttering api pane.

app.py

@@ -96,23 +96,25 @@ def build_model_choices():
 
 model_choices = build_model_choices()
 
-def initial_model(referer=None):
-    return "Qwen/Qwen2.5-72B"
-
-    # if referer == 'http://127.0.0.1:7860/':
-    #     return 'Sao10K/Venomia-1.1-m7'
-
-    # if referer and referer.startswith("https://huggingface.co/"):
-    #     possible_model = referer[23:]
-    #     full_model_list = functools.reduce(lambda x,y: x+y, model_cache.values(), [])
-    #     model_is_supported = possible_model in full_model_list
-    #     if model_is_supported:
-    #         return possible_model
-
-    # # let's use a random but different model each day.
-    # key=os.environ.get('RANDOM_SEED', 'kcOtfNHA+e')
-    # o = random.Random(f"{key}-{datetime.date.today().strftime('%Y-%m-%d')}")
-    # return o.choice(model_choices)[1]
+initial_model = QWEN25_72B
+# this doesn't work in HF spaces because we're iframed :(
+# def initial_model(referer=None):
+#     return REFLECTION
+
+#     if referer == 'http://127.0.0.1:7860/':
+#         return 'Sao10K/Venomia-1.1-m7'
+
+#     if referer and referer.startswith("https://huggingface.co/"):
+#         possible_model = referer[23:]
+#         full_model_list = functools.reduce(lambda x,y: x+y, model_cache.values(), [])
+#         model_is_supported = possible_model in full_model_list
+#         if model_is_supported:
+#             return possible_model
+
+#     # let's use a random but different model each day.
+#     key=os.environ.get('RANDOM_SEED', 'kcOtfNHA+e')
+#     o = random.Random(f"{key}-{datetime.date.today().strftime('%Y-%m-%d')}")
+#     return o.choice(model_choices)[1]
 
 logo = open('./logo.svg').read()
 logo_small = open('./logo-small.svg').read()
@@ -195,9 +197,9 @@ with gr.Blocks(title_text, css=css) as demo:
             <div class="row">and follow us&nbsp;<a href="https://x.com/featherless.ai">on twitter</a>!</div> -->
         </div>
     """)
-    def update_initial_model_choice(request: gr.Request):
-        return initial_model(request.headers.get('referer'))
+    # def update_initial_model_choice(request: gr.Request):
+    #     return initial_model(request.headers.get('referer'))
 
-    demo.load(update_initial_model_choice, outputs=model_selector)
+    # demo.load(update_initial_model_choice, outputs=model_selector)
 
 demo.launch()