Update app.py

app.py

@@ -0,0 +1,42 @@
+import gradio as gr
+import requests
+
+# Define Hugging Face API endpoint and token
+API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
+API_TOKEN = "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"  # Replace with your actual token
+
+# Function to query Hugging Face API for text summarization
+def query_summarization(input_text):
+    headers = {
+        "Authorization": f"Bearer {API_TOKEN}",
+        "Content-Type": "application/json",
+    }
+    payload = {
+        "inputs": input_text
+    }
+    try:
+        # Sending POST request to the Hugging Face API
+        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"]
+        else:
+            return "Sorry, an error occurred. Please try again later."
+    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..."),  # Input text area
+    outputs=gr.Textbox(placeholder="Summary will appear here..."),  # Output summary text
+    title="Text Summarization with Hugging Face",
+    description="Enter text to get a summarized version using Hugging Face's BART model.",
+    live=True  # Set to True for live updates (optional)
+)
+
+# Launch the interface
+iface.launch()