Update app.py

app.py

@@ -447,7 +447,11 @@ def chat_logic(
     ocr_text = ""
     if image_input is not None:
         try:
-            if hasattr(image_input, "name"):
+            # Handle gradio image types: filepath (string), PIL Image, bytes/file-like
+            if isinstance(image_input, str):
+                img = Image.open(image_input)
+            elif hasattr(image_input, "name") and isinstance(image_input.name, str):
+                # uploaded file-like with .name
                 img = Image.open(image_input.name)
             elif isinstance(image_input, (bytes, bytearray)):
                 img = Image.open(io.BytesIO(image_input))
@@ -455,7 +459,10 @@ def chat_logic(
                 img = image_input
         except Exception:
             try:
-                img = Image.open(io.BytesIO(image_input.read()))
+                if hasattr(image_input, "read"):
+                    img = Image.open(io.BytesIO(image_input.read()))
+                else:
+                    img = None
             except Exception:
                 img = None
         if img is not None:
@@ -546,7 +553,9 @@ with gr.Blocks(title=APP_NAME, theme="soft") as demo:
             )
 
             with gr.Row():
-                image_inp = gr.Image(label="📷 প্ৰশ্নৰ ছবি (Optional)", type="file")
+                # Use a gr.Image type compatible with this Gradio version: 'filepath' or 'pil' or 'numpy'
+                # 'filepath' returns a string path in Spaces; code above handles it.
+                image_inp = gr.Image(label="📷 প্ৰশ্নৰ ছবি (Optional)", type="filepath")
                 audio_inp = gr.Audio(label="🎙️ কণ্ঠস্বৰ প্ৰশ্ন (Stub — not used now)", type="numpy")
 
             with gr.Row():