Update app.py

app.py

@@ -175,11 +175,24 @@ def analyze_emotion_from_image(image):
     try:
         # Ensure the input image is a PIL image
         print(f"Initial input type: {type(image)}")
-        if isinstance(image, dict) and "path" in image:
-            image = Image.open(requests.get(image["path"], stream=True).raw)
+        
+        # Check if the input is a URL (string)
+        if isinstance(image, str):
+            print(f"Loading image from URL: {image}")
+            response = requests.get(image, stream=True)
+            response.raise_for_status()  # Raise an error for bad responses
+            image = Image.open(response.raw).convert("RGB")  # Convert to RGB
             print("Loaded image from URL.")
+        
+        # Check if the input is a dictionary (for blob data)
+        elif isinstance(image, dict) and "blob" in image:
+            blob_data = image["blob"]
+            image = Image.open(blob_data).convert("RGB")  # Convert to RGB
+            print("Loaded image from Blob data.")
+        
+        # Check if the input is a NumPy array
         elif isinstance(image, np.ndarray):
-            image = Image.fromarray(image)
+            image = Image.fromarray(image).convert("RGB")  # Convert to RGB
             print("Converted image from NumPy array.")
 
         print(f"Image size: {image.size}, mode: {image.mode}")
@@ -206,8 +219,6 @@ def analyze_emotion_from_image(image):
 
 
 
-
-
 # Gradio interface to upload image files and perform analysis
 iface = gr.Interface(fn=analyze_emotion_from_image, inputs="image", outputs="text")