Update app.py

app.py

@@ -1,6 +1,30 @@
 import gradio as gr
+import torch
+from transformers import pipeline
 
-gr.load("models/black-forest-labs/FLUX.1-schnell").launch(guidance_scale=0.0,
-    num_inference_steps=4,
-    max_sequence_length=256,
-    generator=torch.Generator("cpu").manual_seed(0))
+# Load your model pipeline (e.g., text generation or similar tasks)
+model = pipeline("text-generation", model="black-forest-labs/FLUX.1-schnell")
+
+# Define a function that includes parameters
+def generate_text(prompt, seed, num_inference_steps):
+    # Set the random seed for reproducibility
+    generator = torch.manual_seed(seed)
+    
+    # Generate text with additional parameters
+    output = model(prompt, num_return_sequences=1, max_length=256, 
+                   do_sample=True, generator=generator)
+    return output[0]['generated_text']
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(label="Input Prompt"),
+        gr.Number(label="Seed", default=0),
+        gr.Number(label="Inference Steps", default=50)
+    ],
+    outputs=gr.Textbox(label="Generated Text")
+)
+
+# Launch the interface
+interface.launch()