Update app.py

app.py

@@ -15,7 +15,7 @@ from datetime import datetime
 from threading import RLock
 lock = RLock()
 HF_TOKEN = os.environ.get("ohgoddamn") if os.environ.get("ohgoddamn") else None # If private or gated models aren't used, ENV setting is unnecessary.
-
+token=  os.environ.get("ohgoddamn") if os.environ.get("ohgoddamn") else None # If private or gated models aren't used, ENV setting is unnecessary.
 
 stop_event = asyncio.Event()
 default_models = models[:howManyModelsToUse]
@@ -39,19 +39,29 @@ def random_choices():
     return random.choices(models, k=num_models)
 
 
-load_fn(models,HF_TOKEN)
 
 
-client = InferenceClient(    provider="hf-inference",
-    api_key=HF_TOKEN,)
-image = client.text_to_image(    "Astronaut riding a horse",    model="charliebaby2023/cybrpny",)
-print(f"{image}")
 
+url = "https://api-inference.huggingface.co/models/charliebaby2023/cybrpny"
+headers = {    "Authorization": f"Bearer {token}"}
+response = requests.get(url, headers=headers)
+print(response.status_code)
+print(response.text)
+
+
+load_fn(models,HF_TOKEN)
+
+
+#client = InferenceClient(    provider="hf-inference",    api_key=HF_TOKEN,)
+#image = client.text_to_image(    "Astronaut riding a horse",    model="charliebaby2023/cybrpny",)
+#print(f"{image}")
+model_id = "CompVis/stable-diffusion-v1-4-original"
+endpoint = f"/models/{model_id}"
 
 # === CONFIG ===
 host = "api-inference.huggingface.co"
-endpoint = "/models/charliebaby2023/cybrpny"
-token = HF_TOKEN 
+#endpoint = "/models/charliebaby2023/cybrpny"
+#token = HF_TOKEN 
 prompt = "a futuristic city on Mars at sunset"
 
 # === REQUEST SETUP ===