Make LCM client adaptive.

app.py

@@ -24,7 +24,22 @@ if not HF_TOKEN:
 API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
 headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 
-client = Client("https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/--replicas/0867lltlv/")
+
+def configure_image_client():
+    url = "https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/?view=api"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        content_text = response.text
+        pattern = r'"root":"(https://latent-consistency-super-fast-lcm-lora-sd1-5.hf.space/.*?)"'
+        match = re.findall(pattern, content_text)[0]
+        return Client(match)
+    except requests.RequestException as e:
+        print(f"Error fetching URL content: {e}")
+        raise e
+
+
+client = configure_image_client()
 
 
 def init_speech_to_text_model() -> Pipeline: