Update app.py

app.py

@@ -5,9 +5,6 @@ from diffusers import FluxPipeline
 from groq import Groq  # Import the Groq library
 from cryptography.fernet import Fernet
 from huggingface_hub import login
-
-# Replace 'your_access_token' with your actual token
-
 def get_hf_token(encrypted_token):
     # Retrieve the decryption key from an environment variable
     key = "K4FlQbffvTcDxT2FIhrOPV1eue6ia45FFR3kqp2hHbM="
@@ -22,6 +19,7 @@ def get_hf_token(encrypted_token):
     # Decrypt and decode the token
     decrypted_token = f.decrypt(encrypted_token).decode()
     return decrypted_token
+groq_client = Groq(api_key="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")
 decrypted_token = get_hf_token("gAAAAABn3GfShExoJd50nau3B5ZJNiQ9dRD1ACO3XXMwVaIQMkmi59cL-MKGr6SYnsB0E2gGITJG2j29Ar9yjaZP-EC6hHsCBmwKSj4aFtTor9_n0_NdMBv1GtlxZRmwnQwriB-Xr94e")
 login(token=decrypted_token)
 pipe = FluxPipeline.from_pretrained(
@@ -29,7 +27,6 @@ pipe = FluxPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 )
 pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
-groq_client = Groq(api_key="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")
 
 def enhance_prompt(user_prompt):
     """Enhances the given prompt using Groq and returns the refined prompt."""