Update app.py

app.py

@@ -1,33 +1,31 @@
-import gradio as gr
-import os
 from huggingface_hub import InferenceClient
 from PIL import Image
+import gradio as gr
+import os
 
 # Load token from environment
 token = os.environ["HF_TOKEN"]
 
-# Setup inference client
+# Create the client
 client = InferenceClient(
     model="artificialguybr/TshirtDesignRedmond-V2",
     provider="fal-ai",
     token=token,
 )
 
-# Trigger words as per model instructions
+# Trigger word for model
 trigger_word = "T shirt design, TshirtDesignAF, "
 
 def generate_image(prompt):
     full_prompt = f"{prompt} {trigger_word}"
-    print("Generating image with prompt:", full_prompt)
-    
-    # Generate image
+    print("Generating image with:", full_prompt)
+
+    # Call the HF inference client directly with correct parameters
     image = client.text_to_image(
-        full_prompt,
-        params={
-            "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details...)",
-            "num_inference_steps": 30,
-            "scheduler": "DPMSolverMultistepScheduler",
-        }
+        prompt=full_prompt,
+        negative_prompt="(worst quality, low quality, lowres, bad photo, ...)",
+        num_inference_steps=30,
+        guidance_scale=7.5,
     )
     return image