debugging

app.py

@@ -1,5 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import requests
+from PIL import Image
+from io import BytesIO
 
 # Initialize the client
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
@@ -48,13 +51,30 @@ def moderate_post(post):
 
 # Define the function to generate images
 def generate_image(prompt):
+    # Replace with actual model or API endpoint for image generation
     response = client.text_to_image(prompt)
-    return response.image
+    image = Image.open(BytesIO(response))
+    return image
 
 # Define the function to moderate images
 def moderate_image(image):
-    # Placeholder for actual moderation logic
-    return "Image adheres to community guidelines."
+    # Convert the PIL image to a format that can be sent for moderation
+    buffered = BytesIO()
+    image.save(buffered, format="JPEG")
+    image_bytes = buffered.getvalue()
+    
+    # Placeholder URL for an image moderation API
+    moderation_api_url = "https://example.com/moderation/api"
+    
+    # Send the image to the moderation API
+    response = requests.post(moderation_api_url, files={"file": image_bytes})
+    result = response.json()
+    
+    # Check the result from the moderation API
+    if result.get("moderation_status") == "approved":
+        return "Image adheres to community guidelines."
+    else:
+        return "Image does not adhere to community guidelines."
 
 # Create the Gradio interface
 demo = gr.Blocks()