Update app.py

app.py

@@ -8,7 +8,7 @@ import torch
 import huggingface_hub
 
 # Replace with your actual Groq API key
-api_key = "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"
+api_key = os.getenv("GROQ_API_KEY")
 client = Groq(api_key=api_key)
 
 # Set Hugging Face API key
@@ -26,14 +26,14 @@ model_id1 = "dreamlike-art/dreamlike-diffusion-1.0"
 model_id2 = "stabilityai/stable-diffusion-xl-base-1.0"
 restricted_model_id = "ByteDance/SDXL-Lightning"  # Model you want to access using HF_API_KEY
 
-# Initialize Stable Diffusion pipeline based on device
-if torch.cuda.is_available():
-    pipe = StableDiffusionPipeline.from_pretrained(model_id2, torch_dtype=torch.float16)
-else:
-    pipe = StableDiffusionPipeline.from_pretrained(model_id2)  # Omit torch_dtype for CPU
+# # Initialize Stable Diffusion pipeline based on device
+# if torch.cuda.is_available():
+#     pipe = StableDiffusionPipeline.from_pretrained(model_id2, torch_dtype=torch.float16)
+# else:
+#     pipe = StableDiffusionPipeline.from_pretrained(model_id2)  # Omit torch_dtype for CPU
 
-# Move model to the selected device (either GPU or CPU)
-pipe = pipe.to(device)
+# # Move model to the selected device (either GPU or CPU)
+# pipe = pipe.to(device)
 
 # Function to transcribe, translate, and analyze sentiment
 def process_audio(audio_path, image_option):