Update app.py

app.py

@@ -19,7 +19,7 @@ def query_summarization(input_text):
         response = requests.post(API_URL, headers=headers, json=payload)
         response.raise_for_status()  # Raise error for bad responses (4xx, 5xx)
         result = response.json()
-        
+
         # Extract and return the summary
         if result and "summary_text" in result[0]:
             return result[0]["summary_text"]
@@ -28,28 +28,8 @@ def query_summarization(input_text):
     except requests.exceptions.RequestException as e:
         return f"Error: {e}"
 
-# Create Gradio interface for text summarization
-iface = gr.Interface(
-    fn=query_summarization,  # Function to call
-    inputs=gr.Textbox(
-        lines=10, 
-        placeholder="Enter your text here...", 
-        label="Input Text",
-        elem_id="input-text"
-    ),  # Input text area
-    outputs=gr.Textbox(
-        placeholder="Summary will appear here...", 
-        label="Summary",
-        elem_id="summary-output"
-    ),  # Output summary text
-    title="AI Text Summarization",
-    description="Enter text to get a summarized version using Hugging Face's BART model.",
-    theme="huggingface",  # Apply Hugging Face theme
-    live=True,  # Set to True for live updates (optional)
-)
-
 # Custom CSS styling
-css = """
+custom_css = """
 #input-text {
     font-size: 18px;
     border: 2px solid #8a2be2;
@@ -96,5 +76,24 @@ h1 {
 }
 """
 
-# Launch the interface with custom styling
-iface.launch(share=True, css=css)
+# Create Gradio interface with custom CSS
+iface = gr.Interface(
+    fn=query_summarization,  # Function to call
+    inputs=gr.Textbox(
+        lines=10, 
+        placeholder="Enter your text here...", 
+        label="Input Text",
+        elem_id="input-text"
+    ),  # Input text area
+    outputs=gr.Textbox(
+        placeholder="Summary will appear here...", 
+        label="Summary",
+        elem_id="summary-output"
+    ),  # Output summary text
+    title="AI Text Summarization",
+    description="Enter text to get a summarized version using Hugging Face's BART model.",
+    css=custom_css  # Apply custom CSS here
+)
+
+# Launch the interface
+iface.launch(share=True)