Update app.py

app.py

@@ -20,7 +20,7 @@ def text_prompt(request, page_url, contraseña, temp):
         page.parse()
 
     except Exception as e:
-        return "", f"--- Ha ocurrido un error al procesar la URL: {e} ---", ""
+        return "", f"--- An error occurred while processing the URL: {e} ---", ""
     
     tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
     sentences = page.text.split('.')
@@ -31,12 +31,12 @@ def text_prompt(request, page_url, contraseña, temp):
     for sentence in sentences:
         tokens.extend(tokenizer.tokenize(sentence))
         
-        # Recortar el texto a un máximo de 1800 tokens
+        # Trim text to a maximum of 1800 tokens
         if len(tokens) > 1800:
             break
         page_text += sentence + ". "
         
-    # Eliminar el ultimo espacio
+    # Delete the last space
     page_text = page_text.strip()
 
     num_tokens = len(tokens)
@@ -61,8 +61,8 @@ def text_prompt(request, page_url, contraseña, temp):
             response_text = response_text.strip()
             return page.text, response_text, total_tokens
         except Exception as e:
-            return page.text, f"--- Ha ocurrido un error al procesar la solicitud: {e} ---", num_tokens
-    return page.text, "--- Min number of tokens ---", num_tokens
+            return page.text, f"--- An error occurred while processing the request: {e} ---", num_tokens
+    return page.text, "--- Min number of tokens:", num_tokens
 
 # define the gradio interface
 iface = gr.Interface(
@@ -77,11 +77,11 @@ iface = gr.Interface(
             ["Generate a summary of the following text. Give me an overview of main business impact from the text following this template:\n- Summary:\n- Business Impact:\n- Companies:", "https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html","",0.7],
             ["Generate the next insights based on the following text. Indicates N/A if the information is not available in the text.\n- Summary:\n- Acquisition Price:\n- Why is this important for the acquirer:\n- Business Line for the acquirer:\n- Tech Focus for the acquired (list):","https://techcrunch.com/2022/09/28/eqt-acquires-billtrust-a-company-automating-the-invoice-to-cash-process-for-1-7b/","",0.3]
     ],
-    title="ChatGPT info extraction with newspaper3k",
-    description="This tool allows querying the text retrieved from the URL using OpenAI's [text-davinci-003] engine.\nThe URL text can be referenced in the prompt as \"following text\".\nA GPT2 tokenizer is included to ensure that the 2000 token limit for OpenAI queries is not exceeded. Provide a prompt with your request, the url for text retrieval, your api-key and temperature to process the text."
+    title="ChatGPT / GPT-3 info extraction from URL",
+    description="This tool allows querying the text retrieved from the URL with newspaper3k lib and using OpenAI's [text-davinci-003] engine.\nThe URL text can be referenced in the prompt as \"following text\".\nA GPT2 tokenizer is included to ensure that the 1.800 token limit for OpenAI queries is not exceeded. Provide a prompt with your request, the url for text retrieval, your api-key and temperature to process the text."
 )
 
-# captura de errores en la integración como componente
+# error capturing in integration as a component
 
 error_message = ""