Create app.py

app.py

@@ -0,0 +1,40 @@
+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 precisely the image in one sentence.",	# str  in 'Question' Textbox component
+		api_name="/answer_question"
+    )
+    print(result)
+    return result
+
+def get_clm(prompt):
+    client = Client("https://fffiloni-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
+
+def infer(image_in):
+    caption = get_caption(image_in)
+    img_var = get_lcm(caption)
+    return img_var
+
+gr.Interface(
+    fn = infer,
+    intputs = [
+        gr.Image(type="filepath")
+    ],
+    outputs = [
+        gr.Image()
+    ]
+).launch()