Update app.py

app.py

@@ -194,45 +194,45 @@ def img2img(input_image, denoising, prompt, negative_prompt, model, steps, sampl
 
 css = """
 #generate {
-    height: 100%;
+    height: 70%;
 }
 """
 
 with gr.Blocks(css=css) as demo:
     with gr.Row():
         with gr.Column(scale=6):
-            model = gr.Dropdown(interactive=True,value="absolutereality_v181.safetensors [3d9d4d2b]", show_label=True, label="Stable Diffusion Checkpoint", choices=prodia_client.list_models())
+            model = gr.Dropdown(interactive=True,value="absolutereality_v181.safetensors [3d9d4d2b]", show_label=True, label="Modelos de Inteligencia Artificial", choices=prodia_client.list_models())
 
     with gr.Tabs() as tabs:
         with gr.Tab("txt2img", id='t2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    prompt = gr.Textbox("", placeholder="Prompt", show_label=False, lines=3)
-                    negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, value="")
+                    prompt = gr.Textbox("", placeholder="Palabras", show_label=False, lines=3)
+                    negative_prompt = gr.Textbox(placeholder="Exclusión", show_label=False, lines=3, value="")
                 with gr.Column():
-                    text_button = gr.Button("Generate", variant='primary', elem_id="generate")
+                    text_button = gr.Button("Generar", variant='primary', elem_id="generate")
                     
             with gr.Row():
                 with gr.Column(scale=3):
                     with gr.Tab("Generation"):
                         with gr.Row():
                             with gr.Column(scale=1):
-                                sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
+                                sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampleo", choices=prodia_client.list_samplers())
                                 
                             with gr.Column(scale=1):
-                                steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=30, value=25, step=1)
+                                steps = gr.Slider(label="Pasos", minimum=1, maximum=30, value=25, step=1)
     
                         with gr.Row():
                             with gr.Column(scale=1):
-                                width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                width = gr.Slider(label="Ancho", maximum=1024, value=512, step=8)
+                                height = gr.Slider(label="Alto", maximum=1024, value=512, step=8)
                             
                             with gr.Column(scale=1):
-                                batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
-                                batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
+                                batch_size = gr.Slider(label="Tamaño", maximum=1, value=1)
+                                batch_count = gr.Slider(label="Cuenta", maximum=1, value=1)
     
-                        cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
-                        seed = gr.Number(label="Seed", value=-1)
+                        cfg_scale = gr.Slider(label="Escala", minimum=1, maximum=20, value=7, step=1)
+                        seed = gr.Number(label="Semillas", value=-1)
 
                 with gr.Column(scale=2):
                     image_output = gr.Image(value="https://huggingface.co/spaces/salomonsky/fast/raw/main/image.jpg")
@@ -243,10 +243,10 @@ with gr.Blocks(css=css) as demo:
         with gr.Tab("img2img", id='i2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    i2i_prompt = gr.Textbox("gypsy mystic shaman, fullbody beautiful, female, ultrarealistic, long chinese hair, 8k", placeholder="Prompt", show_label=False, lines=3)
-                    i2i_negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, value="3d, cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly")
+                    i2i_prompt = gr.Textbox("", placeholder="Busqueda", show_label=False, lines=3)
+                    i2i_negative_prompt = gr.Textbox(placeholder="Exclusión", show_label=False, lines=3, value="")
                 with gr.Column():
-                    i2i_text_button = gr.Button("Generate", variant='primary', elem_id="generate")
+                    i2i_text_button = gr.Button("Generar", variant='primary', elem_id="generate")
                     
             with gr.Row():
                 with gr.Column(scale=3):
@@ -255,23 +255,23 @@ with gr.Blocks(css=css) as demo:
 
                         with gr.Row():
                             with gr.Column(scale=1):
-                                i2i_sampler = gr.Dropdown(value="Euler a", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
+                                i2i_sampler = gr.Dropdown(value="Euler a", show_label=True, label="Sampleo", choices=prodia_client.list_samplers())
                                 
                             with gr.Column(scale=1):
-                                i2i_steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=30, value=25, step=1)
+                                i2i_steps = gr.Slider(label="Pasos", minimum=1, maximum=30, value=25, step=1)
 
                         with gr.Row():
                             with gr.Column(scale=1):
-                                i2i_width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                i2i_height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                i2i_width = gr.Slider(label="Ancho", maximum=1024, value=512, step=8)
+                                i2i_height = gr.Slider(label="Alto", maximum=1024, value=512, step=8)
                             
                             with gr.Column(scale=1):
-                                i2i_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
-                                i2i_batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
+                                i2i_batch_size = gr.Slider(label="Tamaño", maximum=1, value=1)
+                                i2i_batch_count = gr.Slider(label="Cuenta", maximum=1, value=1)
     
-                        i2i_cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
-                        i2i_denoising = gr.Slider(label="Denoising Strength", minimum=0, maximum=1, value=0.7, step=0.1)
-                        i2i_seed = gr.Number(label="Seed", value=-1)
+                        i2i_cfg_scale = gr.Slider(label="Escala", minimum=1, maximum=20, value=7, step=1)
+                        i2i_denoising = gr.Slider(label="Fuerza", minimum=0, maximum=1, value=0.7, step=0.1)
+                        i2i_seed = gr.Number(label="Semillas", value=-1)
 
                 with gr.Column(scale=2):
                     i2i_image_output = gr.Image(value="https://huggingface.co/spaces/salomonsky/fast/raw/main/image.jpg")
@@ -300,7 +300,7 @@ with gr.Blocks(css=css) as demo:
                     """.strip()+"\n"
     
                 if len(info) == 0:
-                    message = "Nothing found in the image."
+                    message = "Nada."
                     info = f"<div><p>{message}<p></div>"
     
                 return info
@@ -310,8 +310,8 @@ with gr.Blocks(css=css) as demo:
                     image_input = gr.Image(type="pil")
                     
                 with gr.Column():
-                    exif_output = gr.HTML(label="EXIF Data")
-                    send_to_txt2img_btn = gr.Button("Send to txt2img")
+                    exif_output = gr.HTML(label="Datos")
+                    send_to_txt2img_btn = gr.Button("Enviar")
     
             image_input.upload(get_exif_data, inputs=[image_input], outputs=exif_output)
             send_to_txt2img_btn.click(send_to_txt2img, inputs=[image_input], outputs=[tabs, prompt, negative_prompt,