app_2.py

import os
import threading
import gradio as gr
from google import genai
from google.genai import types

client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY"))
MODEL = "gemini-3.1-flash-lite-preview"

# Tools + Config (einmalig)
tools = [types.Tool(googleSearch=types.GoogleSearch())]
generate_content_config = types.GenerateContentConfig(
    thinking_config=types.ThinkingConfig(thinking_level="MINIMAL"),
    tools=tools,
)

def respond(message, history, state):
    if state is None:
        state = {
            "chat": client.chats.create(model=MODEL, config=generate_content_config),
            "lock": threading.Lock(),
        }
    
    history = history or []
    text = (message or {}).get("text", "")
    files = (message or {}).get("files", [])
    parts = []

   # 1. Dateien verarbeiten (Upload via API & UI-Vorbereitung)
    for file_path in files:
        # Erstelle einen sicheren Dateinamen (z.B. indem du nur den Basenamen nimmst 
        # und problematische Zeichen entfernst oder ignorierst)
        safe_name = os.path.basename(file_path).encode('ascii', 'ignore').decode('ascii')
        
        # Lade die Datei mit dem sicheren Namen hoch
        uploaded_file = client.files.upload(
            file=file_path, 
            config=types.UploadFileConfig(display_name=safe_name)
        )
        parts.append(uploaded_file)
        
        # Datei in der Gradio UI anzeigen
        history.append({"role": "user", "content": gr.FileData(path=file_path)})
        
    # 2. Text verarbeiten
    if text:
        parts.append(text)
        history.append({"role": "user", "content": text})

    if not parts:
        yield history, state
        return

    # 3. UI: Assistant Placeholder hinzufügen
    history.append({"role": "assistant", "content": ""})
    yield history, state

    # 4. Gemini: Senden + Streamen
    with state["lock"]:
        out = ""
        for chunk in state["chat"].send_message_stream(parts):
            if getattr(chunk, "text", None):
                out += chunk.text
                history[-1]["content"] = out
                yield history, state

def clear_msg():
    return {"text": "", "files": []}

with gr.Blocks() as demo:
    gr.Markdown("# Gemini AI Chat (Gradio 6.x & File API)")
    
    # Standard-Initialisierung für Gradio >= 6.0
    chatbot = gr.Chatbot(height=600)
    
    msg = gr.MultimodalTextbox(
        placeholder="Schreib was oder lade Dateien hoch…",
        file_count="multiple",
    )
    state = gr.State(None)
    
    msg.submit(respond, inputs=[msg, chatbot, state], outputs=[chatbot, state]) \
       .then(clear_msg, outputs=msg)
       
    gr.Button("Clear").click(
        lambda: ([], None, {"text": "", "files": []}),
        outputs=[chatbot, state, msg]
    )

if __name__ == "__main__":
    demo.launch()