Update app.py

app.py

@@ -1,11 +1,72 @@
 import gradio as gr
+import requests
 
+# Function to send a request to Inflection AI API
+def idea_mirror(input_idea, context=""):
+    try:
+        # API endpoint for Inflection AI (replace with the actual endpoint)
+        api_url = "https://layercake.pubwestus3.inf7ks8.com/external/api/inference"
+        
+        # Construct the payload
+        payload = {
+            "context": [
+                {"text": input_idea, "type": "Human"},
+                {"text": context, "type": "Human"} if context else {}
+            ],
+            "config": "inflection_3_pi"
+        }
+        
+        # Headers with API Key
+        headers = {
+            "Authorization": "Bearer VRks3d8elJWfQ34pVqdkjydFL6S93taWsPCxFIgUWFc",
+            "Content-Type": "application/json"
+        }
+        
+        # Send the request
+        response = requests.post(api_url, json=payload, headers=headers)
+        
+        # Handle the response
+        if response.status_code == 200:
+            response_data = response.json()
+            result = response_data.get("result", "No se pudo obtener un resultado.")
+            return f"Idea Refinada: {result}"
+        else:
+            return f"Error: {response.status_code}, {response.text}"
+    except Exception as e:
+        return f"Error procesando la idea: {e}"
 
-def greet(name):
-    return "Hello " + name + "!"
+# Gradio Interface
+with gr.Blocks() as interfaz:
+    gr.Markdown(
+        """
+        ## **Idea Mirror**
+        ### Refinamos tus ideas con claridad y empatía.
+        """
+    )
+    
+    with gr.Row():
+        idea_input = gr.Textbox(
+            label="Ingresa tu idea", 
+            placeholder="Escribe aquí tu idea principal...",
+            lines=3
+        )
+        context_input = gr.Textbox(
+            label="Contexto (opcional)", 
+            placeholder="Añade más detalles sobre tu idea o audiencia...",
+            lines=2
+        )
+    
+    output_box = gr.Textbox(
+        label="Resultado", 
+        placeholder="Aquí aparecerá tu idea refinada...",
+        lines=6, 
+        interactive=False
+    )
+    
+    refine_button = gr.Button("Refinar Idea")
 
+    # Link the refinement function to the button
+    refine_button.click(idea_mirror, inputs=[idea_input, context_input], outputs=output_box)
 
-demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
-
-if __name__ == "__main__":
-    demo.launch()
+# Launch the Gradio app
+interfaz.launch()