Update app.py

app.py

@@ -21,19 +21,22 @@ def text_prompt(request, page_url, contraseña, temp):
     if num_tokens > 10 and num_tokens < 2000:
         openai.api_key = contraseña
         # get the response from openai API
-        response = openai.Completion.create(
-        engine="text-davinci-003",
-        prompt=request + "\n\n" + page.text,
-        max_tokens=2048,
-        temperature=temp,
-        top_p=0.9,
-        )
-        # get the response text
-        response_text = response.choices[0].text
-        # clean the response text
-        response_text = re.sub(r'\s+', ' ', response_text)
-        return response_text, num_tokens
-    return "--- Something went wrong! ---", num_tokens
+        try:
+            response = openai.Completion.create(
+                engine="text-davinci-003",
+                prompt=request + "\n\n" + page.text,
+                max_tokens=2048,
+                temperature=temp,
+                top_p=0.9,
+            )
+            # get the response text
+            response_text = response.choices[0].text
+            # clean the response text
+            response_text = re.sub(r'\s+', ' ', response_text)
+            return response_text, num_tokens
+        except Exception as e:
+            return f"--- Ha ocurrido un error al procesar la solicitud: {e} ---", num_tokens
+    return "--- Max number of tokens ---", num_tokens
 
 # define the gradio interface
 iface = gr.Interface(
@@ -48,4 +51,5 @@ iface = gr.Interface(
             ["Extract the main topics of the following text:", "https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html","",0.7]
     ]
 )
-iface.launch()
+
+iface.launch(inline=False)