Update app.py

app.py

@@ -52,9 +52,6 @@ def upload(files: Optional[List[str]], chatbot: CHAT_HISTORY) -> CHAT_HISTORY:
 def user(text_prompt: str, chatbot: CHAT_HISTORY):
     if text_prompt:
         chatbot.append((text_prompt, None))
-    else:
-        # Si no hay texto en el prompt, solicitamos que se ingrese
-        chatbot.append(("Please provide a text prompt.", None))
     return "", chatbot
 
 def bot(
@@ -78,31 +75,24 @@ def bot(
     if not system_instruction:
         system_instruction = ""  # O puedes poner un valor predeterminado como "No system instruction provided."
 
-    # Extraer texto y prepararlo para el prompt
     text_prompt = [chatbot[-1][0]] if chatbot and chatbot[-1][0] and isinstance(chatbot[-1][0], str) else []
     image_prompt = [preprocess_image(Image.open(file).convert('RGB')) for file in files] if files else []
-
+    
     model = genai.GenerativeModel(
         model_name=model_choice,
         generation_config=generation_config,
         system_instruction=system_instruction  # Usar el valor por defecto si está vacío
     )
 
-    # Si hay texto en el prompt, generamos contenido
-    if text_prompt:
-        response = model.generate_content(text_prompt + image_prompt, stream=True, generation_config=generation_config)
-
-        chatbot[-1][1] = ""
-        for chunk in response:
-            for i in range(0, len(chunk.text), 10):
-                section = chunk.text[i:i + 10]
-                chatbot[-1][1] += section
-                time.sleep(0.01)
-                yield chatbot
-    else:
-        # Si no hay texto, solicitamos que se ingrese uno
-        chatbot.append(("Please provide a text prompt.", None))
-        yield chatbot
+    response = model.generate_content(text_prompt + image_prompt, stream=True, generation_config=generation_config)
+
+    chatbot[-1][1] = ""
+    for chunk in response:
+        for i in range(0, len(chunk.text), 10):
+            section = chunk.text[i:i + 10]
+            chatbot[-1][1] += section
+            time.sleep(0.01)
+            yield chatbot
 
 # Componente para el acordeón que contiene el cuadro de texto para la instrucción del sistema
 system_instruction_component = gr.Textbox(
@@ -123,27 +113,8 @@ model_choice_component = gr.Dropdown(
     scale=2
 )
 
-# Nuevos dropdowns para personalizar la entrada
-genre_component = gr.Dropdown(
-    choices=["History", "Poem", "Short Story", "Quote"],
-    label="Select Genre",
-    scale=2
-)
-
-language_component = gr.Dropdown(
-    choices=["English", "Spanish", "French"],
-    label="Select Language",
-    scale=2
-)
-
-mood_component = gr.Dropdown(
-    choices=["Happy", "Sad", "Romantic", "Horror", "Comical"],
-    label="Select Mood",
-    scale=2
-)
-
 user_inputs = [text_prompt_component, chatbot_component]
-bot_inputs = [upload_button_component, model_choice_component, system_instruction_component, chatbot_component, genre_component, language_component, mood_component]
+bot_inputs = [upload_button_component, model_choice_component, system_instruction_component, chatbot_component]
 
 # Definir la interfaz de usuario
 with gr.Blocks() as demo:
@@ -162,11 +133,6 @@ with gr.Blocks() as demo:
         with gr.Accordion("System Instruction", open=False):  # Acordeón cerrado por defecto
             system_instruction_component.render()
 
-        # Agregar los nuevos desplegables (dropdowns) para personalización
-        genre_component.render()
-        language_component.render()
-        mood_component.render()
-
     run_button_component.click(
         fn=user,
         inputs=user_inputs,