Update app.py

app.py

@@ -19,15 +19,20 @@ def text_prompt(request, page_url, contraseña, temp):
     tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
 
     tokens = tokenizer.tokenize(page.text)
+    
+    # Recortar el texto a un máximo de 1000 tokens
     num_tokens = len(tokens)
+    if num_tokens > 1800:
+    tokens = tokens[:1800]
+    page_text = " ".join(tokens)
 
-    if num_tokens > 10 and num_tokens < 2000:
+    if num_tokens > 10:
         openai.api_key = contraseña
         # get the response from openai API
         try:
             response = openai.Completion.create(
                 engine="text-davinci-003",
-                prompt=request + "\n\n" + page.text,
+                prompt=request + "\n\n" + page_text,
                 max_tokens=2048,
                 temperature=temp,
                 top_p=0.9,
@@ -39,7 +44,7 @@ def text_prompt(request, page_url, contraseña, temp):
             return page.text, response_text, num_tokens
         except Exception as e:
             return page.text, f"--- Ha ocurrido un error al procesar la solicitud: {e} ---", num_tokens
-    return page.text, "--- Max number of tokens ---", num_tokens
+    return page.text, "--- Min number of tokens ---", num_tokens
 
 # define the gradio interface
 iface = gr.Interface(