Delete app.py

app.py

@@ -1,47 +0,0 @@
-import gradio as gr
-from gradio_client import Client
-
-def get_caption(image_in):
-    client = Client("https://vikhyatk-moondream1.hf.space/")
-    result = client.predict(
-		image_in,	# filepath  in 'image' Image component
-		"Describe the image",	# str  in 'Question' Textbox component
-		api_name="/answer_question"
-    )
-    print(result)
-    return result
-
-def get_lcm(prompt):
-    client = Client("https://latent-consistency-lcm-lora-for-sdxl.hf.space/")
-    result = client.predict(
-    		prompt,	# str  in 'parameter_5' Textbox component
-    		0.3,	# float (numeric value between 0.0 and 5) in 'Guidance' Slider component
-    		8,	# float (numeric value between 2 and 10) in 'Steps' Slider component
-    		0,	# float (numeric value between 0 and 12013012031030) in 'Seed' Slider component
-    		True,	# bool  in 'Randomize' Checkbox component
-    							api_name="/predict"
-    )
-    print(result)
-    return result[0]
-
-def infer(image_in):
-    caption = get_caption(image_in)
-    img_var = get_lcm(caption)
-    return img_var
-
-css = """
-footer { 
-    visibility: hidden; 
-}
-"""
-
-gr.Interface(css=css,
-    fn = infer,
-    inputs = [
-        gr.Image(type="filepath", label="Image input")
-    ],
-    outputs = [
-        gr.Image(label="LCM Image variation")
-    ]
-).queue(max_size=25).launch()
-