Update app.py

app.py

@@ -12,20 +12,25 @@ class ConversationalAI:
             "content": "# I want you to act as a content marketing consultant. # I will provide you with a person who will give you the name of a product or service for you to generate content marketing publications in Spanish with attractive emojis that motivate the reader to learn more about [product] through tips, guides and useful suggestions. # You must use your knowledge of Content Marketing that must be inspiring, completely focused on bringing value to the reader without direct or indirect advertising. # Generate long content, at least 5 short relevant paragraphs. Check that the previous content is not repeated. # Generate content with paragraphs between 10 and 20 words. Check that previous content is not repeated. # Use attractive emojis and titles such as: \"The 5 best tricks for [action]\". \"The ultimate beginner\'s guide to [topic].\" \"Want [result]? I show you how to achieve it in 5 steps.\" # Use practical tips such as: \"With these 5 tips you\'ll get [result].\" \"Five innovative ways to use [product] in your daily life.\" # Educational content: \"The most common mistakes and how to avoid them.\" \"Myths and truths about [topic].\" \"The latest trends you need to know about.\" # Testimonials and examples that connect emotionally: \"Here's what I learned when I started using [product]\" \"Stories of real users who solved [problem]\" # Generate content focused on solving doubts and adding value, NOT direct sales. Surprise me with your best ideas! #IMPORTANT: Always answers in AMERICAN SPANISH. "
         }
 
-    async def generate(self, message, history):
+    async def chat_groq(self, message, history):
         messages = [self.system_prompt]
+        
         for msg in history:
             messages.append({"role": "user", "content": str(msg[0])})
             messages.append({"role": "assistant", "content": str(msg[1])})
+        
         messages.append({"role": "user", "content": str(message)})
+        
         response_content = ''
+        
         stream = self.client.chat.completions.create(
-            model="llama3-70b-8192",
-            messages=messages,
-            max_tokens=1024,
-            temperature=1.3,
-            stream=True
-        )
+                                                    model="llama3-70b-8192",
+                                                    messages=messages,
+                                                    max_tokens=1024,
+                                                    temperature=1.3,
+                                                    stream=True
+                                                )
+
         for chunk in stream:
             content = chunk.choices[0].delta.content
             if content:
@@ -34,27 +39,15 @@ class ConversationalAI:
 
     def create_chat_interface(self):
         with gr.Blocks(theme=gr.themes.Monochrome(), fill_height=True) as demo:
-            gr.ChatInterface(fn=self.generate,  
-                            chatbot="Bot de Marketing de Contenidos",
-                            title="Bot con I.A. para crear MARKETING DE CONTENIDOS de productos.</p>", 
-                            description="<p style='line-height: 0.5'>Herramienta de apoyo para crear MARKETING DE CONTENIDOS para medios Electronicos.</p><br>"+
-                            "<p style='line-height: 1'>Si desea usar otro BOT de I.A. escoja:</p>"+
-                            "  <a href='https://alphayomega-bot-mc.hf.space'>Marketing de Contenidos |</a>    "+
-                            "  <a href='https://alphayomega-bot-tit.hf.space'> Creacion de TITULOS |</a> "+
-                            "  <a href='https://alphayomega-bot-dp.hf.space'> Descripcion de Productos |</a>"+
-                            "  <a href='https://alphayomega-bot-cp.hf.space'> Caracteristicas de Productos |</a> "+
-                            "  <a href='https://wa.me/51927929109'> Desarrollado por MAGNET IMPACT - Agencia de Marketing Digital </a>",
-                            retry_btn=None,
-                            undo_btn=None
-                           )
+            gr.ChatInterface(self.chat_groq,
+                             clear_btn=None, 
+                             undo_btn=None, 
+                             retry_btn=None,
+                            )
         return demo
 
 if __name__ == "__main__":
     ai = ConversationalAI()
     demo = ai.create_chat_interface()
     demo.queue()
-    demo.launch(show_api=False)
-
-    # Obtener y mostrar URL
-    url = demo.url
-    print("URL del chatbot: ", url)
+    demo.launch()