Update app.py

app.py

@@ -1,46 +1,3 @@
 import gradio as gr
-import gradio.components as comp
-import os
 
-api_key = os.environ.get("HUGGINGFACE_API_KEY")
-
-#model_list = [
-#    "stabilityai/stable-diffusion-xl-base-0.9",
-#    "stabilityai/stable-diffusion-2-1",
-#    "stabilityai/stable-diffusion-xl-refiner-0.9",
-#    "stabilityai/stable-diffusion-2-1-base",
-#    "stabilityai/stable-diffusion-2",
-#    "stabilityai/stable-diffusion-2-inpainting",
-#    "stabilityai/stable-diffusion-x4-upscaler",
-#    "stabilityai/stable-diffusion-2-depth",
-#    "stabilityai/stable-diffusion-2-base",
-#    "stabilityai/stable-diffusion-2-1-unclip",
-#    "helenai/stabilityai-stable-diffusion-2-1-base-ov",
-#    "helenai/stabilityai-stable-diffusion-2-1-ov",
-#    "stabilityai/stable-diffusion-2-1-unclip-small"
-#]
-
-#default_model = "stabilityai/stable-diffusion-2"
-#model_name = gr.inputs.Dropdown(choices=model_list, label="Select Model", default=default_model)
-
-#def generate_image(text, default_model):
-#    model = gr.load(default_model, source="huggingface", api_key=api_key)
-#    return model.predict(text)
-
-#input_text = gr.inputs.Textbox(label="Input Text")
-#output_image = comp.Image(label="Generated Image")
-
-#iface = gr.Interface(
-#    fn=generate_image,
-#    inputs=[input_text, default_model],
-#    outputs=output_image,
-#    title="Text to Image Generation",
-#    description="Generate an image from input text using a Hugging Face model."
-#)
-
-#iface.launch()
-
-title = ".mujo T ai art po O"
-gr.Interface.load("models/stabilityai/stable-diffusion-2-1", title=title).launch()
-
-#gr.load("models/stabilityai/stable-diffusion-2-1-base").launch(auth=("admin", "pass"))
+gr.Interface.load("models/lmsys/vicuna-13b-v1.5-16k").launch()