Create app.py

app.py

@@ -0,0 +1,30 @@
+import requests
+import gradio as gr
+
+def extract_text_from_url(url):
+    try:
+        # Request data from the URL
+        response = requests.get(url)
+        response.raise_for_status()  # Raise an error for bad responses
+        data = response.json()
+        
+        # Extract 'text' from each row
+        rows = data.get("rows", [])
+        texts = [row["row"]["text"] for row in rows if "text" in row["row"]]
+        
+        # Return as a single string with newlines
+        return "\n".join(texts)
+    except Exception as e:
+        return f"An error occurred: {e}"
+
+# Gradio interface
+interface = gr.Interface(
+    fn=extract_text_from_url,
+    inputs=gr.Textbox(label="Dataset URL", placeholder="Enter the dataset URL"),
+    outputs=gr.Textbox(label="Extracted Texts", lines=20, placeholder="Extracted texts will appear here"),
+    title="Extract Text from Hugging Face Dataset",
+    description="Enter the URL of a Hugging Face dataset to extract and display the 'text' fields."
+)
+
+if __name__ == "__main__":
+    interface.launch()