Removed the dynamic url

app.py

@@ -5,12 +5,40 @@ import numpy as np
 import io
 from PIL import Image
 import base64
-
+import os
+import requests
 #client = Client("https://duchaba-friendly-text-moderation.hf.space/--replicas/gffry/")
-client = Client("https://duchaba-friendly-text-moderation.hf.space/--replicas/6rx2j/")
+#client = Client("https://duchaba-friendly-text-moderation.hf.space/--replicas/6rx2j/")
+
+# Load Hugging Face token from environment variable
+HF_TOKEN = os.getenv("HF_TOKEN", "your_default_hf_token")
+
+def get_dynamic_endpoint():
+    """
+    Fetch the dynamic endpoint using the Hugging Face API.
+
+    Returns:
+        str: The current dynamic endpoint.
+    """
+    api_url = "https://api.huggingface.co/space/duchaba/friendly-text-moderation"
+    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+    response = requests.get(api_url, headers=headers)
+    response.raise_for_status()  # Raise an error for bad status codes
+
+    # Extract the endpoint from the response
+    data = response.json()
+    endpoint = data.get("url")
+    return endpoint
+
 
 
 def moderate_text(text, safer_value):
+    # Fetch the dynamic endpoint
+    dynamic_endpoint = get_dynamic_endpoint()
+
+    # Initialize the client with the dynamic endpoint
+    client = Client(dynamic_endpoint, hf_token=HF_TOKEN)
     result = client.predict(
         text,
         safer_value,

fetchURL.txt

@@ -0,0 +1,111 @@
+import os
+import requests
+import gradio as gr
+from gradio_client import Client
+import matplotlib.pyplot as plt
+import io
+from PIL import Image
+import base64
+
+# Load Hugging Face token from environment variable
+HF_TOKEN = os.getenv("HF_TOKEN", "your_default_hf_token")
+
+def get_dynamic_endpoint():
+    """
+    Fetch the dynamic endpoint using the Hugging Face API.
+
+    Returns:
+        str: The current dynamic endpoint.
+    """
+    api_url = "https://api.huggingface.co/space/duchaba/friendly-text-moderation"
+    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+    response = requests.get(api_url, headers=headers)
+    response.raise_for_status()  # Raise an error for bad status codes
+
+    # Extract the endpoint from the response
+    data = response.json()
+    endpoint = data.get("url")
+    return endpoint
+
+# Fetch the dynamic endpoint
+dynamic_endpoint = get_dynamic_endpoint()
+
+# Initialize the client with the dynamic endpoint
+client = Client(dynamic_endpoint, hf_token=HF_TOKEN)
+
+def moderate_text(text, safer_value):
+    """
+    Moderates the given text using the Hugging Face API and returns the result and moderation pie chart.
+
+    Args:
+        text (str): The text to be moderated.
+        safer_value (float): The safer value for text moderation.
+
+    Returns:
+        result (dict): The moderation result.
+        img (PIL.Image): The moderation pie chart.
+    """
+    result = client.predict(
+        text,
+        safer_value,
+        api_name="/censor_me"
+    )
+
+    # Example structure of the result
+    base64_data = result.get('plot', '').split(',')[1]
+
+    # Decode base64 to bytes
+    img_data = base64.b64decode(base64_data)
+
+    # Convert bytes to PIL Image
+    img = Image.open(io.BytesIO(img_data))
+
+    return result, img
+
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=moderate_text,
+    inputs=[
+        gr.Textbox(label="Enter Text:", placeholder="Type your text here...", lines=5),
+        gr.Slider(minimum=0.005, maximum=0.1, value=0.005, label="Personalize Safer Value: (larger value is less safe)")
+    ],
+    outputs=[
+        gr.Textbox(label="Moderated Text:", lines=5),
+        gr.Image(type="pil", label="Moderation Pie Chart")
+    ],
+    title="Friendly Text Moderator",
+    description="Enter text to be moderated and adjust the safer value to see how it affects the moderation.",
+    theme="compact"
+)
+
+# Customize the CSS
+custom_css = """
+body {
+    background-color: #f5f5f5;
+    font-family: Arial, sans-serif;
+}
+.gradio-container {
+    max-width: 800px;
+    margin: auto;
+    padding: 20px;
+    background-color: white;
+    border: 1px solid #ddd;
+    border-radius: 8px;
+    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
+}
+.gr-button {
+    background-color: #4CAF50;
+    color: white;
+}
+.gr-button:hover {
+    background-color: #45a049;
+}
+"""
+
+# Add the custom CSS to the Gradio app
+demo.css = custom_css
+
+# Launch the app
+demo.launch()
+