Update app.py

app.py

@@ -1,19 +1,28 @@
-import gradio as gr
-from inference import load_for_inference, predict
-
-REPO_ID = "MUERIS/TurkishVLMTAMGA"
-
-model, tokenizer, device = load_for_inference(REPO_ID)
-
-def answer(image, question):
-    return predict(model, tokenizer, device, image, question)
-
-gr.Interface(
-    fn=answer,
-    inputs=[
-        gr.Image(type="pil"),
-        gr.Textbox(label="Question")
-    ],
-    outputs="text",
-    title="CLIP2MT5 Visual Question Answering"
-).launch()
+import gradio as gr
+from inference import load_for_inference, predict
+from PIL import Image
+
+REPO_ID = "Mueris/TurkishVLMTAMGA"
+
+# Load the model only once
+model, tokenizer, device = load_for_inference(REPO_ID)
+
+def answer(image, question):
+    if image is None or not question.strip():
+        return "Lütfen bir görsel ve soru girin."
+
+    image = Image.fromarray(image)
+    return predict(model, tokenizer, device, image, question)
+
+demo = gr.Interface(
+    fn=answer,
+    inputs=[
+        gr.Image(type="numpy", label="Görsel Yükle"),
+        gr.Textbox(label="Soru (Türkçe VQA)")
+    ],
+    outputs="text",
+    title="🇹🇷 TAMGA - Türk Savunma Sanayii VLM",
+    description="Görsel yükleyin, savunma sanayii odaklı bir soru sorun."
+)
+
+demo.launch()