Update app.py

app.py

@@ -1,101 +1,138 @@
-import os; import numpy as np; import random; from pathlib import Path; from PIL import Image; import streamlit as st; from huggingface_hub import AsyncInferenceClient; import asyncio; import yaml
-
-with open("config.yaml") as f: config = yaml.safe_load(f); username = config["credentials"]["username"]; password = config["credentials"]["password"]
-
-client = AsyncInferenceClient(); DATA_PATH = Path("./data"); DATA_PATH.mkdir(exist_ok=True); MAX_SEED = np.iinfo(np.int32).max; PREDEFINED_SEED = random.randint(0, MAX_SEED)
-
+import os
+import numpy as np
+import random
+from pathlib import Path
+from PIL import Image
+import streamlit as st
+from huggingface_hub import AsyncInferenceClient
+import asyncio
+import yaml
+
+# Configuración de cliente de inferencia
+client = AsyncInferenceClient()
+DATA_PATH = Path("./data")
+DATA_PATH.mkdir(exist_ok=True)
+
+# Cargar credenciales desde archivo YAML
+with open("credentials.yaml", "r") as file:
+    credentials = yaml.safe_load(file)
+
+# Variables de estado
+if 'logged_in' not in st.session_state:
+    st.session_state.logged_in = False
+if 'prompt' not in st.session_state:
+    st.session_state.prompt = ""
+
+# Función de generación de imágenes
 async def generate_image(prompt, width, height, seed):
     try:
-        seed = int(seed) if seed != -1 else PREDEFINED_SEED
-        image = await client.text_to_image(prompt=prompt, height=height, width=width, model="enhanceaiteam/Flux-uncensored")
-        return image, seed
+        if seed == -1:
+            seed = random.randint(0, np.iinfo(np.int32).max)
+        image = await client.text_to_image(
+            prompt=prompt, height=height, width=width, model="enhanceaiteam/Flux-uncensored"
+        )
+        return image
     except Exception as e:
-        return f"Error al generar imagen: {e}", None
+        return f"Error al generar imagen: {e}"
 
+# Función para guardar prompts
 def save_prompt(prompt_text, seed):
     try:
         prompt_file_path = DATA_PATH / f"prompt_{seed}.txt"
-        with open(prompt_file_path, "w") as prompt_file: prompt_file.write(prompt_text)
-        return prompt_file_path
+        with open(prompt_file_path, "w") as prompt_file:
+            prompt_file.write(prompt_text)
+        return str(prompt_file_path)
     except Exception as e:
-        st.error(f"Error al guardar el prompt: {e}"); return None
-
-async def gen(prompt, width, height):
-    seed = PREDEFINED_SEED; progress_bar = st.progress(0)
-    image, seed = await generate_image(prompt, width, height, seed)
-    progress_bar.progress(100)
-    if isinstance(image, str) and image.startswith("Error"): progress_bar.empty(); return [image, None]
-    return [save_image(image, seed), save_prompt(prompt, seed)]
+        st.error(f"Error al guardar el prompt: {e}")
+        return None
 
+# Función para guardar imágenes
 def save_image(image, seed):
     try:
         image_path = DATA_PATH / f"image_{seed}.jpg"
         image.save(image_path, format="JPEG")
-        return image_path
+        return str(image_path)
     except Exception as e:
-        st.error(f"Error al guardar la imagen: {e}"); return None
+        st.error(f"Error al guardar la imagen: {e}")
+        return None
 
+# Función para obtener archivos almacenados
 def get_storage():
-    files = sorted(DATA_PATH.glob("*.jpg"), key=lambda x: x.stat().st_mtime, reverse=True)
-    usage = sum(file.stat().st_size for file in files)
+    files = [file for file in DATA_PATH.glob("*.jpg") if file.is_file()]
+    files.sort(key=lambda x: x.stat().st_mtime, reverse=True)
+    usage = sum([file.stat().st_size for file in files])
     return [str(file.resolve()) for file in files], f"Uso total: {usage/(1024.0 ** 3):.3f}GB"
 
-def get_prompts():
-    return {file.stem.replace("prompt_", ""): file for file in DATA_PATH.glob("*.txt") if file.is_file()}
+# Función principal
+async def gen(prompt, width, height):
+    seed = random.randint(0, np.iinfo(np.int32).max)
+    progress_bar = st.progress(0)
+    image = await generate_image(prompt, width, height, seed)
+    progress_bar.progress(100)
+
+    if isinstance(image, str) and image.startswith("Error"):
+        progress_bar.empty()
+        return [image, None]
+
+    image_path = save_image(image, seed)
+    prompt_file_path = save_prompt(prompt, seed)
+
+    return [image_path, prompt_file_path]
 
 def main():
     st.set_page_config(layout="wide")
     st.title("Generador de Imágenes FLUX")
 
-    if "logged_in" not in st.session_state: st.session_state.logged_in = False
-
+    # Inicio de sesión
     if not st.session_state.logged_in:
-        st.sidebar.header("Inicio de Sesión")
-        input_username = st.sidebar.text_input("Usuario")
-        input_password = st.sidebar.text_input("Contraseña", type="password")
+        username = st.sidebar.text_input("Usuario")
+        password = st.sidebar.text_input("Contraseña", type="password")
 
         if st.sidebar.button("Iniciar Sesión"):
-            if input_username == username and input_password == password:
+            if username == credentials["username"] and password == credentials["password"]:
                 st.session_state.logged_in = True
-                st.sidebar.success("Inicio de sesión exitoso!")
             else:
-                st.sidebar.error("Usuario o contraseña incorrectos.")
-    else:
-        prompt = st.sidebar.text_input("Descripción de la imagen", max_chars=500)
-        width, height = (720, 1280) if st.sidebar.selectbox("Formato", ["9:16", "16:9"]) == "9:16" else (1280, 720)
-
-        if st.sidebar.button("Generar Imagen"):
-            with st.spinner("Generando imagen..."):
-                result = asyncio.run(gen(prompt, width, height))
-                image_paths = result[0]
-                prompt_file = result[1]
-
-                if image_paths and Path(image_paths).exists():
-                    st.image(image_paths, caption="Imagen Generada")
-                else:
-                    st.error("El archivo de imagen no existe.")
-                if prompt_file and Path(prompt_file).exists():
-                    st.write(f"Prompt utilizado: {Path(prompt_file).read_text()}")
-                else:
-                    st.write("El archivo del prompt no está disponible.")
-
-        files, usage = get_storage()
-        st.text(usage)
-        cols = st.columns(6)
-        prompts = get_prompts()
-
-        for idx, file in enumerate(files):
-            with cols[idx % 6]:
-                image = Image.open(file)
-                prompt_file = prompts.get(Path(file).stem.replace("image_", ""), None)
-                st.image(image, caption=f"Imagen {idx+1}")
-                st.write(f"Prompt: {Path(prompt_file).read_text() if prompt_file else 'No disponible'}")
-                if st.button(f"Borrar Imagen {idx+1}", key=f"delete_{idx}"):
-                    try:
-                        os.remove(file)
-                        os.remove(prompt_file) if prompt_file else None
-                        st.success(f"Imagen {idx+1} y su prompt fueron borrados.")
-                    except Exception as e:
-                        st.error(f"Error al borrar la imagen o prompt: {e}")
-
-if __name__ == "__main__": main()
+                st.error("Credenciales incorrectas.")
+        return
+
+    # Opciones después de iniciar sesión
+    prompt = st.sidebar.text_input("Descripción de la imagen", max_chars=500)
+    format_option = st.sidebar.selectbox("Formato", ["9:16", "16:9"])
+
+    width, height = (720, 1280) if format_option == "9:16" else (1280, 720)
+
+    if st.sidebar.button("Generar Imagen"):
+        with st.spinner("Generando imagen..."):
+            result = asyncio.run(gen(prompt, width, height))
+            image_paths = result[0]
+            prompt_file = result[1]
+
+        if image_paths and Path(image_paths).exists():
+            st.image(image_paths, caption="Imagen Generada")
+            if prompt_file and Path(prompt_file).exists():
+                prompt_text = Path(prompt_file).read_text()
+                st.write(f"Prompt utilizado: {prompt_text}")
+        else:
+            st.error("El archivo de imagen no existe.")
+
+    files, usage = get_storage()
+    st.text(usage)
+    cols = st.columns(6)
+
+    for idx, file in enumerate(files):
+        with cols[idx % 6]:
+            image = Image.open(file)
+            prompt_text = Path(DATA_PATH / f"prompt_{file.stem.replace('image_', '')}.txt").read_text() if Path(DATA_PATH / f"prompt_{file.stem.replace('image_', '')}.txt").exists() else "No disponible"
+            st.image(image, caption=f"Imagen {idx+1}")
+            st.write(f"Prompt: {prompt_text}")
+
+            if st.button(f"Borrar Imagen {idx+1}", key=f"delete_{idx}"):
+                try:
+                    os.remove(file)
+                    os.remove(DATA_PATH / f"prompt_{file.stem.replace('image_', '')}.txt")
+                    st.success(f"Imagen {idx+1} y su prompt fueron borrados.")
+                except Exception as e:
+                    st.error(f"Error al borrar la imagen o prompt: {e}")
+
+if __name__ == "__main__":
+    main()