Update app.py

app.py

@@ -49,14 +49,26 @@ def array_to_image_path(image_array):
     return full_path
     
 models = {
-    "Qwen/Qwen2.5-VL-7B-Instruct": Qwen2_5_VLForConditionalGeneration.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True, torch_dtype="auto").cuda().eval()
+    "Qwen/Qwen2.5-VL-7B-Instruct": Qwen2_5_VLForConditionalGeneration.from_pretrained(
+        "Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True, torch_dtype="auto"
+    ).cuda().eval(),
 
+    "medieval-data/qwen2.5-vl-old-church-slavonic": Qwen2_5_VLForConditionalGeneration.from_pretrained(
+        "medieval-data/qwen2.5-vl-old-church-slavonic", trust_remote_code=True, torch_dtype="auto"
+    ).cuda().eval()
 }
 
 processors = {
-    "Qwen/Qwen2.5-VL-7B-Instruct": AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True)
+    "Qwen/Qwen2.5-VL-7B-Instruct": AutoProcessor.from_pretrained(
+        "Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True
+    ),
+
+    "medieval-data/qwen2.5-vl-old-church-slavonic": AutoProcessor.from_pretrained(
+        "medieval-data/qwen2.5-vl-old-church-slavonic", trust_remote_code=True
+    )
 }
 
+
 DESCRIPTION = "This demo uses[Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)"
 
 kwargs = {}