Update app.py

app.py

@@ -173,14 +173,16 @@ def analyze_emotion_from_text(text):
 def analyze_emotion_from_image(image):
     try:
         # Ensure the input image is a PIL image
-        if isinstance(image, np.ndarray):
+        if isinstance(image, dict) and "path" in image:
+            image = Image.open(requests.get(image["path"], stream=True).raw)  # Load image from URL
+        elif isinstance(image, np.ndarray):
             image = Image.fromarray(image)  # Convert to PIL Image if it's a NumPy array
 
         # Analyze colors
         dominant_colors = analyze_colors(image)
         if dominant_colors is None:
             return "Error analyzing colors"
-
+        
         color_emotions, stress_levels = color_emotion_analysis(dominant_colors)
 
         # Analyze patterns
@@ -191,11 +193,11 @@ def analyze_emotion_from_image(image):
 
         return overall_result
     except Exception as e:
-        print(f"Error processing image: {str(e)}") 
         return f"Error processing image: {str(e)}"
 
 
 
+
 # Gradio interface to upload image files and perform analysis
 iface = gr.Interface(fn=analyze_emotion_from_image, inputs="image", outputs="text")