Update app.py

app.py

@@ -11,7 +11,7 @@ def analyze_image_with_maira(image):
     """Analyzes the image using the Maira-2 model via the Hugging Face Inference API.
     """
     try:
-        # Prepare image data - no need to encode for InferenceClient if sending bytes directly
+        # Prepare image data - send as bytes directly to 'inputs'
         image_bytes = io.BytesIO()
         if image.mode == "RGBA":  # Handle RGBA images (if any)
             image = image.convert("RGB")
@@ -19,11 +19,15 @@ def analyze_image_with_maira(image):
         image_bytes = image_bytes.getvalue()  # Get the bytes
 
         client = InferenceClient()  # No token needed inside the Space
-        result = client.question_answering(
-            question="Analyze this chest X-ray image and provide detailed findings. Include any abnormalities, their locations, and potential diagnoses. Be as specific as possible.",
-            image=image_bytes,  # Pass the image bytes directly
-            model="microsoft/maira-2"  # Specify the model
+        result = client.run(
+            task="visual-question-answering", # Explicitly specify the task
+            model="microsoft/maira-2",  # Specify the model
+            inputs={
+                "image": image_bytes,
+                "question": "Analyze this chest X-ray image and provide detailed findings. Include any abnormalities, their locations, and potential diagnoses. Be as specific as possible.",
+            }
         )
+
         return result
 
     except Exception as e: