Update app.py

app.py

@@ -15,28 +15,30 @@ API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 100
 
-def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
-    if prompt == "" or prompt == None:
+def query(prompt, negative_prompt, steps, cfg_scale, sampler, seed, strength, width, height):
+    if prompt == "" or prompt is None:
         return None
 
     key = random.randint(0, 999)
-    
-    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
-    headers = {"Authorization": f"Bearer {API_TOKEN}"}
-    
+
     prompt = GoogleTranslator(source='my', target='en').translate(prompt)
     print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
 
     prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
     print(f'\033[1mGeneration {key}:\033[0m {prompt}')
-    
+
     payload = {
         "inputs": prompt,
-        "is_negative": is_negative,
-        "steps": steps,
-        "cfg_scale": cfg_scale,
-        "seed": seed if seed != -1 else random.randint(1, 1000000000),
-        "strength": strength
+        "parameters": {
+            "negative_prompt": negative_prompt,
+            "steps": steps,
+            "cfg_scale": cfg_scale,
+            "sampler": sampler,
+            "seed": seed if seed != -1 else random.randint(1, 1000000000),
+            "strength": strength,
+            "width": width,
+            "height": height
+        }
     }
 
     response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
@@ -46,7 +48,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
         if response.status_code == 503:
             raise gr.Error(f"{response.status_code} : The model is being loaded")
         raise gr.Error(f"{response.status_code}")
-    
+
     try:
         image_bytes = response.content
         image = Image.open(io.BytesIO(image_bytes))
@@ -79,12 +81,14 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
                         method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
                         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)
+                        width = gr.Slider(label="Width", value=512, minimum=64, maximum=1024, step=64)
+                        height = gr.Slider(label="Height", value=512, minimum=64, maximum=1024, step=64)
 
         with gr.Row():
             text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
         with gr.Row():
             image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
-        
-        text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output)
 
-app.launch(show_api=False, share=True)
+        text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
+
+app.launch(show_api=False, share=True)