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.dockerignore

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+__pycache__
+*.pyc
+.git

Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+CMD ["python", "app.py"]

app.py

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+import gradio as gr
+import sqlite3
+import os
+from huggingface_hub import InferenceClient
+from gtts import gTTS
+from PIL import Image
+import io
+
+# SQLite DB (ephemeral)
+DB = "aio_ai.db"
+conn = sqlite3.connect(DB, check_same_thread=False)
+conn.execute("CREATE TABLE IF NOT EXISTS users (username TEXT PRIMARY KEY, password TEXT)")
+conn.execute("CREATE TABLE IF NOT EXISTS characters (id INTEGER PRIMARY KEY, username TEXT, name TEXT, prompt TEXT)")
+
+client = InferenceClient()
+
+def register(username, password):
+    try:
+        conn.execute("INSERT INTO users VALUES (?, ?)", (username, password))
+        conn.commit()
+        return "✅ Registriert!"
+    except:
+        return "❌ Username existiert bereits"
+
+def login(username, password):
+    res = conn.execute("SELECT * FROM users WHERE username=? AND password=?", (username, password)).fetchone()
+    return "✅ Willkommen!" if res else "❌ Falsche Daten"
+
+def create_character(username, name, system_prompt):
+    conn.execute("INSERT INTO characters (username, name, prompt) VALUES (?, ?, ?)", (username, name, system_prompt))
+    conn.commit()
+    return f"✅ Charakter '{name}' erstellt!"
+
+def get_characters(username):
+    return [row[1] for row in conn.execute("SELECT * FROM characters WHERE username=?", (username,)).fetchall()]
+
+def chat(message, username, character_name):
+    chars = conn.execute("SELECT prompt FROM characters WHERE username=? AND name=?", (username, character_name)).fetchone()
+    prompt = chars[0] if chars else "Du bist ein hilfreicher Assistent."
+    full_prompt = f"{prompt}\nUser: {message}"
+    response = client.text_generation(full_prompt, model="microsoft/Phi-3-mini-4k-instruct", max_new_tokens=512)
+    return response
+
+def generate_image(prompt):
+    img_bytes = client.text_to_image(prompt, model="stabilityai/stable-diffusion-2-1")
+    return Image.open(io.BytesIO(img_bytes))
+
+def generate_code(prompt):
+    full = f"Schreibe sauberen Code für: {prompt}"
+    return client.text_generation(full, model="microsoft/Phi-3-mini-4k-instruct", max_new_tokens=1024)
+
+def text_to_speech(text):
+    tts = gTTS(text, lang="de")
+    tts.save("output.mp3")
+    return "output.mp3"
+
+# Gradio UI
+with gr.Blocks(title="AIO AI") as demo:
+    gr.Markdown("# 🤖 AIO AI – All-in-One KI Plattform")
+    
+    with gr.Tab("🔑 Login / Registrierung"):
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("### Registrieren")
+                u1 = gr.Textbox(label="Username")
+                p1 = gr.Textbox(label="Passwort", type="password")
+                reg_btn = gr.Button("Registrieren")
+                reg_out = gr.Textbox()
+                reg_btn.click(register, [u1, p1], reg_out)
+            with gr.Column():
+                gr.Markdown("### Anmelden")
+                u2 = gr.Textbox(label="Username")
+                p2 = gr.Textbox(label="Passwort", type="password")
+                login_btn = gr.Button("Anmelden")
+                login_out = gr.Textbox()
+                login_btn.click(login, [u2, p2], login_out)
+    
+    with gr.Tab("👤 Charaktere"):
+        username = gr.Textbox(label="Dein Username", visible=True)
+        name = gr.Textbox(label="Charakter-Name")
+        prompt = gr.Textbox(label="System-Prompt", lines=5)
+        create_btn = gr.Button("Charakter erstellen")
+        create_out = gr.Textbox()
+        create_btn.click(create_character, [username, name, prompt], create_out)
+        
+        char_list = gr.Dropdown(label="Deine Charaktere", choices=[])
+        refresh_btn = gr.Button("Liste aktualisieren")
+        refresh_btn.click(lambda u: get_characters(u), username, char_list)
+    
+    with gr.Tab("💬 Chat"):
+        chat_char = gr.Dropdown(label="Charakter wählen")
+        msg = gr.Textbox(label="Deine Nachricht")
+        chat_btn = gr.Button("Senden")
+        chat_output = gr.Textbox(label="Antwort")
+        chat_btn.click(chat, [msg, username, chat_char], chat_output)
+    
+    with gr.Tab("🖼️ Bildgenerierung"):
+        img_prompt = gr.Textbox(label="Beschreibe das Bild")
+        img_btn = gr.Button("Bild erzeugen")
+        img_output = gr.Image()
+        img_btn.click(generate_image, img_prompt, img_output)
+    
+    with gr.Tab("💻 Code-Generator"):
+        code_prompt = gr.Textbox(label="Was soll der Code tun?")
+        code_btn = gr.Button("Code generieren")
+        code_output = gr.Code(language="python")
+        code_btn.click(generate_code, code_prompt, code_output)
+    
+    with gr.Tab("🔊 Text-to-Speech"):
+        tts_text = gr.Textbox(label="Text zum Vorlesen")
+        tts_btn = gr.Button("Sprache erzeugen")
+        tts_output = gr.Audio()
+        tts_btn.click(text_to_speech, tts_text, tts_output)
+
+demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

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+gradio>=4.0
+huggingface_hub
+gtts
+pillow
+sqlite3