Update app.py

app.py

@@ -3,7 +3,7 @@ import requests
 import os
 
 # Configure the endpoint and authentication
-ENDPOINT_URL = os.environ.get("ENDPOINT_URL", "https://yoffo4n9o2y9reiw.us-east-1.aws.endpoints.huggingface.cloud")
+ENDPOINT_URL = os.environ.get("ENDPOINT_URL", "https://dz0eq6vxq3nm0uh7.us-east-1.aws.endpoints.huggingface.cloud")
 # HF_API_TOKEN = os.environ.get("HF_API_TOKEN")  # Get API token from environment variable
 HF_API_TOKEN = os.environ.get("HF_API_TOKEN", "").strip()  # Use strip() to remove extra whitespaces and newlines
 
@@ -14,58 +14,108 @@ def is_token_configured():
         return "⚠️ Warning: HF_API_TOKEN is not configured. The app won't work until you add this secret in your Space settings."
     return "✅ API token is configured"
 
-# Define the function to call your endpoint
-def check_safety(input_text):
-    if not input_text.strip():
-        return "Please enter some text to check"
+# # Define the function to call your endpoint
+# def check_safety(input_text):
+#     if not input_text.strip():
+#         return "Please enter some text to check"
     
-    # Prepare the payload for your endpoint
-    payload = {
-        "inputs": input_text
-    }
+#     # Prepare the payload for your endpoint
+#     payload = {
+#         "inputs": input_text
+#     }
+    
+#     # Set headers with authentication token
+#     headers = {
+#         "Content-Type": "application/json",
+#         "Authorization": f"Bearer {HF_API_TOKEN}"
+#     }
+    
+#     try:
+#         # Make the request to your endpoint
+#         response = requests.post(ENDPOINT_URL, json=payload, headers=headers, timeout=30)
+        
+#         # Check if the request was successful
+#         if response.status_code == 200:
+#             result = response.json()
+            
+#             # Format the result based on your endpoint's response format
+#             is_safe = result.get("is_safe", False)
+#             safety_result = result.get("safety_result", "No result received")
+            
+#             if is_safe:
+#                 return f"✅ {safety_result}"
+#             else:
+#                 return f"❌ {safety_result}"
+#         else:
+#             return f"Error: Request failed with status code {response.status_code}. Details: {response.text}"
+#     except requests.exceptions.Timeout:
+#         return "Error: Request timed out. The endpoint may be overloaded or unavailable."
+#     except requests.exceptions.ConnectionError:
+#         return "Error: Failed to connect to the endpoint. Please check the endpoint URL."
+#     except Exception as e:
+#         return f"Error: {str(e)}"
+def check_safety(input_text, uploaded_image):
+    if not input_text.strip() and uploaded_image is None:
+        return "⚠️ Please enter text or upload an image to check."
+    
+    payload = {}
     
-    # Set headers with authentication token
+    if input_text.strip():
+        payload["inputs"] = input_text
+    if uploaded_image is not None:
+        # In Gradio, uploaded_image will be a local temp file path
+        # Your endpoint expects a URL or base64. Here, we send as base64.
+        import base64
+        
+        with open(uploaded_image, "rb") as img_file:
+            img_bytes = img_file.read()
+            img_base64 = base64.b64encode(img_bytes).decode('utf-8')
+        
+        payload["image"] = img_base64  # Assume your backend can accept image this way
+
     headers = {
         "Content-Type": "application/json",
         "Authorization": f"Bearer {HF_API_TOKEN}"
     }
     
     try:
-        # Make the request to your endpoint
         response = requests.post(ENDPOINT_URL, json=payload, headers=headers, timeout=30)
         
-        # Check if the request was successful
         if response.status_code == 200:
             result = response.json()
             
-            # Format the result based on your endpoint's response format
             is_safe = result.get("is_safe", False)
-            safety_result = result.get("safety_result", "No result received")
-            
+            safety_result = result.get("safety_result", {})
+
+            safety = safety_result.get("Safety", "Unknown")
+            score = safety_result.get("Score", "")
+            categories = safety_result.get("Unsafe Categories", "")
+
             if is_safe:
-                return f"✅ {safety_result}"
+                return f"✅ Safe\n\nSafety: {safety}\nScore: {score}\nUnsafe Categories: {categories}"
             else:
-                return f"❌ {safety_result}"
+                return f"❌ Unsafe\n\nSafety: {safety}\nScore: {score}\nUnsafe Categories: {categories}"
+        
         else:
-            return f"Error: Request failed with status code {response.status_code}. Details: {response.text}"
+            return f"❗ Error: Request failed with status code {response.status_code}.\nDetails: {response.text}"
+    
     except requests.exceptions.Timeout:
-        return "Error: Request timed out. The endpoint may be overloaded or unavailable."
+        return "❗ Error: Request timed out."
+    
     except requests.exceptions.ConnectionError:
-        return "Error: Failed to connect to the endpoint. Please check the endpoint URL."
+        return "❗ Error: Failed to connect to the endpoint."
+    
     except Exception as e:
-        return f"Error: {str(e)}"
-
-# Define the Gradio interface
+        return f"❗ Error: {str(e)}"
 with gr.Blocks(title="Safety Content Classifier", css="footer {display: none !important}") as demo:
     gr.Markdown(f"# Safety Content Classifier")
     gr.Markdown(f"## Connected to external safety model endpoint")
     
-    # Add token status indicator
     token_status = gr.Markdown(is_token_configured())
     
     with gr.Accordion("About this demo", open=False):
         gr.Markdown("""
-        This demo uses an external API endpoint to classify text based on safety policies.
+        This demo uses an external API endpoint to classify text and images based on safety policies.
         It checks content against the following categories:
         - Harassment
         - Dangerous Content
@@ -82,29 +132,30 @@ with gr.Blocks(title="Safety Content Classifier", css="footer {display: none !im
                 placeholder="Type here...",
                 lines=5
             )
+            uploaded_image = gr.Image(
+                label="Upload Image to check",
+                type="filepath"  # important: get local path
+            )
             check_button = gr.Button("Check Safety", variant="primary")
         
         with gr.Column():
             output = gr.Textbox(
                 label="Safety Result",
-                lines=5
+                lines=8
             )
     
-    # Set up event handlers
-    check_button.click(fn=check_safety, inputs=input_text, outputs=output)
-    input_text.submit(fn=check_safety, inputs=input_text, outputs=output)
+    # Update event handlers
+    check_button.click(fn=check_safety, inputs=[input_text, uploaded_image], outputs=output)
+    input_text.submit(fn=check_safety, inputs=[input_text, uploaded_image], outputs=output)
     
-    # Example inputs
     gr.Examples(
         [
-            ["Hello, how are you today?"],
-            ["I love your work, it's amazing!"],
-            ["I want to learn how to make a bomb."],
-            ["I hate people from that country."],
-            ["Let's meet for coffee and discuss the project."],
+            ["Hello, how are you today?", None],
+            ["I want to learn how to make a bomb.", None],
+            ["", "example_images/unsafe_meme.png"],
+            ["", "example_images/normal_photo.jpg"],
         ],
-        input_text
+        inputs=[input_text, uploaded_image]
     )
 
-# Launch the app
 demo.launch()