Update app.py

app.py

@@ -1,76 +1,3 @@
-# import gradio as gr
-# import requests
-# import io
-# import os
-# from PIL import Image, ImageEnhance
-
-# API_URL = "https://api-inference.huggingface.co/models/sd-community/sdxl-flash"
-# API_KEY = os.getenv("HF_API_KEY")
-# headers = {"Authorization": f"Bearer {API_KEY}"}  # Corrected to use f-string
-
-# def query(payload):
-#     response = requests.post(API_URL, headers=headers, json=payload)
-#     if response.status_code != 200:
-#         return None
-#     return response.content
-
-# def gen_img(prompt, num_inference_steps, guidance_scale, contrast):
-#     payload = {
-#         "inputs": prompt,
-#         "parameters": {
-#             "num_inference_steps": num_inference_steps,
-#             "guidance_scale": guidance_scale
-#         }
-#     }
-#     image_bytes = query(payload)
-#     if image_bytes is None:
-#         return None
-#     image = Image.open(io.BytesIO(image_bytes))
-    
-#     enhancer = ImageEnhance.Contrast(image)
-#     image = enhancer.enhance(contrast)
-
-#     return image
-
-# with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.lime, spacing_size="md", radius_size="lg", 
-#                                     font=[gr.themes.GoogleFont("Copperplate"), "Fantasy", "sans-serif"])) as demo:
-    
-#     gr.Markdown("""
-#     <div style='text-align: center; 
-#                 font-size: 36px; 
-#                 font-family: Copperplate, Fantasy; 
-#                 color: orange;
-#                 /* background-color: green; 
-#                 padding: 5px; 
-#                 border-radius: 30px; */ '>
-#         Pencil Vision (a holofote product)
-#     </div>
-#     """)
-#     with gr.Row():
-#         prompt = gr.Textbox(label="Enter your prompt to generate the image")
-    
-#     with gr.Row():
-#         num_inference_steps = gr.Slider(minimum=1, maximum=15, value=6, step=3, label="Number of Inference Steps")
-#         guidance_scale = gr.Slider(minimum=1.0, maximum=5.0, value=2.5, step=1, label="Guidance Scale")
-#         contrast_scale = gr.Slider(minimum=1.0, maximum=3.0, value=1.0, step=0.1, label="Contrast Scale")  
-    
-#     with gr.Row():
-#         generate_button = gr.Button("Generate Image")
-    
-#     output_image = gr.Image(label="Generated Image")
-#     error_message = gr.Markdown(visible=False)
-    
-#     def handle_click(prompt, num_inference_steps, guidance_scale, contrast_scale):
-#         image = gen_img(prompt, num_inference_steps, guidance_scale, contrast_scale)
-#         if image is None:
-#             return None, gr.update(visible=True, value="Error generating image. Please try again.")
-#         return image, gr.update(visible=False)
-    
-#     generate_button.click(handle_click, inputs=[prompt, num_inference_steps, guidance_scale, contrast_scale], outputs=[output_image, error_message])
-
-# demo.launch(share=True)
-
-#------------------------------------------------------------------------------------------------------------------------------------------------------------
 import gradio as gr
 import requests
 import io