Update app.py

app.py

@@ -1,7 +1,51 @@
 import gradio as gr
+import requests
+import json
 
-def greet(name):
-    return "Hello " + name + "!!"
+# WARNING: It is not recommended to hardcode sensitive data like API tokens in code.
+# Consider using environment variables or other secure methods for production applications.
+API_URL = "https://deployment.datasaur.ai/api/deployment/8/2717/chat/completions"
+API_TOKEN = "ds-bb8f69148d3e4ae3aed327af3da5eb4a"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def magic_function(input_text):
+    """
+    Sends text to the Datasaur deployment API and returns the processed text.
+    """
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_TOKEN}",
+    }
+    data = {
+        "messages": [{"role": "user", "content": input_text}]
+    }
+    
+    try:
+        response = requests.post(API_URL, headers=headers, json=data)
+        response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)
+        
+        response_json = response.json()
+        
+        # Extract content from a standard chat completion response structure.
+        # This may need adjustment if the API has a different format.
+        content = response_json.get("choices", [{}])[0].get("message", {}).get("content", "Error: Could not parse response.")
+        return content
+        
+    except requests.exceptions.RequestException as e:
+        return f"API Request Error: {e}"
+    except (ValueError, KeyError, IndexError):
+        # Handle cases where response is not valid JSON or structure is unexpected
+        return f"Error processing API response: {response.text}"
+
+
+with gr.Blocks() as demo:
+    text_area = gr.Textbox(label="Your Text", lines=20)
+    magic_button = gr.Button("Magic Button")
+
+    magic_button.click(
+        fn=magic_function,
+        inputs=text_area,
+        outputs=text_area
+    )
+
+if __name__ == "__main__":
+    demo.launch()