Update app.py

app.py

@@ -6,30 +6,30 @@ import os
 from PIL import Image
 from deep_translator import GoogleTranslator
 
-#os.makedirs('assets', exist_ok=True)
+# os.makedirs('assets', exist_ok=True)
 if not os.path.exists('icon.jpg'):
     os.system("wget -O icon.jpg https://i.pinimg.com/564x/64/49/88/644988c59447eb00286834c2e70fdd6b.jpg")
-API_URL_DEV ="https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
+API_URL_DEV = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
 API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
 timeout = 100
 
-def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, huggingface_api_key=None):
+def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, huggingface_api_key=None, use_dev=False):
+    # Determine which API URL to use
+    api_url = API_URL_DEV if use_dev else API_URL
+
     # Check if the request is an API call by checking for the presence of the huggingface_api_key
     is_api_call = huggingface_api_key is not None
 
     if is_api_call:
-        
         # Use the environment variable for the API key in GUI mode
         API_TOKEN = os.getenv("HF_READ_TOKEN")
         headers = {"Authorization": f"Bearer {API_TOKEN}"}
-        
     else:
         # Validate the API key if it's an API call
         if huggingface_api_key == "":
             raise gr.Error("API key is required for API calls.")
-        
         headers = {"Authorization": f"Bearer {huggingface_api_key}"}
-    
+
     if prompt == "" or prompt is None:
         return None
 
@@ -54,7 +54,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
         "strength": strength
     }
 
-    response = requests.post(API_URL_DEV, headers=headers, json=payload, timeout=timeout)
+    response = requests.post(api_url, headers=headers, json=payload, timeout=timeout)
     if response.status_code != 200:
         print(f"Error: Failed to get image. Response status: {response.status_code}")
         print(f"Response content: {response.text}")
@@ -87,13 +87,11 @@ css = """
     align-items: center;
     justify-content: center;
 }
-
 #title-icon {
     width: 32px; /* Adjust the width of the icon as needed */
     height: auto;
     margin-right: 10px; /* Space between icon and title */
 }
-
 #title-text {
     font-size: 24px; /* Adjust font size as needed */
     font-weight: bold;
@@ -124,16 +122,15 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
                         strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
                         seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
                         huggingface_api_key = gr.Textbox(label="Hugging Face API Key (required for API calls)", placeholder="Enter your Hugging Face API Key here", type="password", elem_id="api-key")
+                        use_dev = gr.Checkbox(label="Use Dev API", value=False, elem_id="use-dev-checkbox")
 
         with gr.Row():
             text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
         with gr.Row():
-            # Define two outputs: one for the image file path and one for the seed
-            #image_path_output = gr.Textbox(label="Image File Path", elem_id="gallery")
             image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
             seed_output = gr.Textbox(label="Seed Used", elem_id="seed-output")
         
-        # Adjust the click function to include the API key as an input
-        text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, huggingface_api_key], outputs=[image_output, seed_output])
+        # Adjust the click function to include the API key and use_dev as inputs
+        text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, huggingface_api_key, use_dev], outputs=[image_output, seed_output])
 
 app.launch(show_api=True, share=False)