updated image pipe

app.py

@@ -85,7 +85,22 @@ def image_analyzer(image_url: str):
             )
             logging.info("--- Image Analyzer pipeline initialized. ---")
 
-        description = image_to_text_pipeline(image_url)[0]["generated_text"]
+        # More robustly handle the pipeline output
+        pipeline_output = image_to_text_pipeline(image_url)
+        if (
+            pipeline_output
+            and isinstance(pipeline_output, list)
+            and len(pipeline_output) > 0
+        ):
+            description = pipeline_output[0].get(
+                "generated_text", "Error: Could not find text in image analysis result."
+            )
+        else:
+            logging.error(
+                f"Image analyzer returned no or invalid output for URL: {image_url}"
+            )
+            description = "Error: Could not analyze image."
+
         return description
     except Exception as e:
         logging.error(f"Error analyzing image: {e}")
@@ -374,8 +389,7 @@ with gr.Blocks() as demo:
         3.  Click 'Run Evaluation & Submit All Answers' to fetch the questions, run the agent, submit the answers, and see your score.
         ---
         **Disclaimer:**
-        -   Once you click the submit button, please be patient. 
-        The agent needs time to process all the questions, which can take several minutes depending on the model and hardware.
+        -   Once you click the submit button, please be patient. The agent needs time to process all the questions, which can take several minutes depending on the model and hardware.
         """
     )