Update everything

app.py

@@ -5,57 +5,55 @@ import random
 import os
 from PIL import Image
 
-API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
-API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
+API_BASE_URL = "https://api-inference.huggingface.co/models/"
+MODEL_LIST = [
+    "openskyml/dalle-3-xl",
+    "Linaqruf/animagine-xl-2.0",
+    "Lykon/dreamshaper-7",
+    "Linaqruf/animagine-xl",
+    "runwayml/stable-diffusion-v1-5",
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    "prompthero/openjourney-v4",
+    "nerijs/pixel-art-xl",
+    "Linaqruf/anything-v3.0"
+]
+API_TOKEN = os.getenv("HF_READ_TOKEN")  # Make sure to set your Hugging Face token
+HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}
 
 def select_model(model_name):
-    models_list = [
-        "openskyml/dalle-3-xl",
-        "Linaqruf/animagine-xl-2.0",
-        "Lykon/dreamshaper-7",
-        "Linaqruf/animagine-xl",
-        "runwayml/stable-diffusion-v1-5",
-        "stabilityai/stable-diffusion-xl-base-1.0",
-        "prompthero/openjourney-v4",
-        "nerijs/pixel-art-xl",
-        "Linaqruf/anything-v3.0"
-    ]
+    if model_name in MODEL_LIST:
+        return API_BASE_URL + model_name
+
+def query(prompt, selected_model, is_negative=False, steps=1, cfg_scale=6, seed=None):
+    model_url = select_model(selected_model)
+    API_URL = f"{model_url}"
 
-def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
     payload = {
         "inputs": prompt,
         "is_negative": is_negative,
         "steps": steps,
         "cfg_scale": cfg_scale,
         "seed": seed if seed is not None else random.randint(-1, 2147483647)
-        }
+    }
 
-    image_bytes = requests.post(API_URL, headers=headers, json=payload).content
-    image = Image.open(io.BytesIO(image_bytes))
+    response = requests.post(API_URL, headers=HEADERS, json=payload)
+    response.raise_for_status()
+    
+    image_bytes = io.BytesIO(response.content)
+    image = Image.open(image_bytes)
     return image
 
-
 with gr.Blocks(theme="soft") as playground:
     gr.HTML(
         """
-            <div style="text-align: center; margin: 0 auto;">
-              <div
-                style="
-                  display: inline-flex;
-                  align-items: center;
-                  gap: 0.8rem;
-                  font-size: 1.75rem;
-                "
-              >
-                <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
-                  Play with SD Models
-                </h1> 
-              </div>
-              <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
-                Create your AI art with Stable Diffusion models!
-              </p>
-            </div>
+        <div style="text-align: center; margin: 0 auto;">
+          <div style="display: inline-flex; align-items: center; gap: 0.8rem; font-size: 1.75rem;">
+            <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">Play with SD Models</h1> 
+          </div>
+          <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
+            Create your AI art with Stable Diffusion models!
+          </p>
+        </div>
         """
     )
 
@@ -63,11 +61,12 @@ with gr.Blocks(theme="soft") as playground:
         image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
         with gr.Column(elem_id="prompt-container"):
             text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
+            model_dropdown = gr.Dropdown(label="Select Model", choices=MODEL_LIST, elem_id="model-dropdown")
             text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
 
     with gr.Accordion("Advanced settings", open=False):
         negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")
 
-    text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)
+    text_button.click(query, inputs=[text_prompt, model_dropdown, negative_prompt], outputs=image_output)
 
 playground.launch(show_api=False)