Get rid of try except to see error

app.py

@@ -197,51 +197,51 @@ def bot(
 
     # Use processor if images are present
     if processor is not None and has_images:
-        try:
-            processor_history = []
-            for msg in history:
-                role = msg.get("role", "user")
-                content = msg.get("content")
-
-                if isinstance(content, str):
-                    processor_history.append({"role": role, "content": content})
-                elif isinstance(content, tuple):
-                    formatted_content = []
-                    tmp_path, _ = content 
-                    pil_image = Image.open(tmp_path)
-
-                    if pil_image is not None:
-                        # formatted_content.append({"type": "image", "image": pil_image})
-                        buffered = io.BytesIO()
-                        pil_image.save(buffered, format="JPEG")
-                        img_base64 = base64.b64encode(buffered.getvalue()).decode()
-                        image_input = {
-                            "type": "image_url",
-                            "image_url": {"url": f"data:image/jpeg;base64,{img_base64}"},
-                        }
-                    if processor_history[-1].get('role') == 'user':
-                        if isinstance(processor_history[-1].get('content'), str):
-                            previous_message = processor_history[-1].get('content')
-                            formatted_content.append({"type": "text", "text": previous_message})
-                            formatted_content.append(image_input)
-                            processor_history[-1]['content'] = formatted_content
-                        elif isinstance(processor_history[-1].get('content'), list):
-                            processor_history[-1]['content'].append(image_input)
-                    else:
-                        if formatted_content:
-                            processor_history.append({"role": role, "content": formatted_content})
-
-            print(processor_history)
-
-            model_inputs = processor(
-                messages=processor_history,
-                return_tensors="pt",
-                add_generation_prompt=True,
-            ).to(model.device)
-            print("Using processor for vision input")
-        except Exception as exc:
-            print(f"Processor failed: {exc}")
-            model_inputs = None
+        # try:
+        processor_history = []
+        for msg in history:
+            role = msg.get("role", "user")
+            content = msg.get("content")
+
+            if isinstance(content, str):
+                processor_history.append({"role": role, "content": content})
+            elif isinstance(content, tuple):
+                formatted_content = []
+                tmp_path, _ = content 
+                pil_image = Image.open(tmp_path)
+
+                if pil_image is not None:
+                    # formatted_content.append({"type": "image", "image": pil_image})
+                    buffered = io.BytesIO()
+                    pil_image.save(buffered, format="JPEG")
+                    img_base64 = base64.b64encode(buffered.getvalue()).decode()
+                    image_input = {
+                        "type": "image_url",
+                        "image_url": {"url": f"data:image/jpeg;base64,{img_base64}"},
+                    }
+                if processor_history[-1].get('role') == 'user':
+                    if isinstance(processor_history[-1].get('content'), str):
+                        previous_message = processor_history[-1].get('content')
+                        formatted_content.append({"type": "text", "text": previous_message})
+                        formatted_content.append(image_input)
+                        processor_history[-1]['content'] = formatted_content
+                    elif isinstance(processor_history[-1].get('content'), list):
+                        processor_history[-1]['content'].append(image_input)
+                else:
+                    if formatted_content:
+                        processor_history.append({"role": role, "content": formatted_content})
+
+        print(processor_history)
+
+        model_inputs = processor(
+            messages=processor_history,
+            return_tensors="pt",
+            add_generation_prompt=True,
+        ).to(model.device)
+        print("Using processor for vision input")
+        # except Exception as exc:
+        #     print(f"Processor failed: {exc}")
+        #     model_inputs = None
 
     # Fallback to tokenizer for text-only
     if model_inputs is None: