Update app.py

app.py

@@ -27,8 +27,6 @@ mmodels = {
     "CleanLinearMix": "https://api-inference.huggingface.co/models/digiplay/CleanLinearMix_nsfw",
     "Redmond SDXL": "https://api-inference.huggingface.co/models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2"
 }
-API_TOKEN = os.getenv("HF_READ_TOKEN")
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 100
 # PLEASE ❤ like ❤ this space. Please like me. I am 12 years old, one of my projects is: https://ai-hub.rf.gd . I live in Russia, I don't know English very well. Therefore, I apologize that there is only Russian here, but I think it will not be difficult to translate all this. (For example, using gpt)
 
@@ -82,10 +80,8 @@ def query(prompt, model, is_negative=False, steps=30, cfg_scale=7, sampler="DPM+
         else:
             # Если произошла ошибка, возвращаем сообщение об ошибке
             print(f"Error: {response.status_code} - {response.text}")
-    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")])
-    headers = {
-            'Authorization': f'Bearer {API_TOKEN}'
-    }
+    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")]) # it is free
+    headers = {"Authorization": f"Bearer {API_TOKEN}"}
     prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
     print(f'\033[1mГенерация {key} перевод:\033[0m {prompt}')