Update app.py

app.py

@@ -1,7 +1,55 @@
+import gradio as gr
+import json
 from fastapi import FastAPI, Request
 from fastapi.responses import JSONResponse
 import uvicorn
+import threading
+
+# --------------------------------------
+# Rezept-Logik
+# --------------------------------------
+def generate_recipe(required, available, max_ingredients):
+    # Dummy-Logik – hier kannst du dein echtes Rezeptmodell verwenden
+    recipe = f"""Rezept mit maximal {max_ingredients} Zutaten:
+    
+Verwendete Zutaten:
+- Benötigt: {required}
+- Verfügbar: {available}
+
+Zubereitung:
+1. Schneide alle Zutaten klein.
+2. Koche sie zusammen in einem Topf.
+3. Würze nach Geschmack und serviere heiß.
+"""
+    return recipe
+
+def generate_recipe_api(required, available, max_ingredients):
+    recipe = generate_recipe(required, available, max_ingredients)
+    return json.dumps({"recipe": recipe})
+
+# --------------------------------------
+# Gradio UI
+# --------------------------------------
+with gr.Blocks() as demo:
+    gr.Markdown("## KI-Rezept-Generator")
 
+    with gr.Row():
+        required_input = gr.Textbox(label="Benötigte Zutaten", placeholder="z.B. chicken, rice")
+        available_input = gr.Textbox(label="Verfügbare Zutaten", placeholder="z.B. onions, garlic, tomatoes")
+
+    max_ingredients_input = gr.Slider(label="Maximale Anzahl Zutaten", minimum=3, maximum=12, value=6, step=1)
+    output = gr.Textbox(label="Generiertes Rezept")
+
+    generate_btn = gr.Button("Rezept generieren")
+    generate_btn.click(
+        fn=generate_recipe,
+        inputs=[required_input, available_input, max_ingredients_input],
+        outputs=output
+    )
+
+# --------------------------------------
+# FastAPI-Server für eigene API
+# --------------------------------------
 app = FastAPI()
 
 @app.post("/generate")
@@ -10,16 +58,16 @@ async def generate(request: Request):
     required = data.get("required", "")
     available = data.get("available", "")
     max_ingredients = int(data.get("max_ingredients", 6))
-    response = generate_recipe_api(required, available, max_ingredients)
-    return JSONResponse(content=json.loads(response))
+    result = generate_recipe_api(required, available, max_ingredients)
+    return JSONResponse(content=json.loads(result))
 
-# Kombiniere FastAPI und Gradio
-import threading
+# --------------------------------------
+# Beide Server starten
+# --------------------------------------
 def launch_gradio():
-    demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True, share=False)
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
 
 threading.Thread(target=launch_gradio).start()
 
-# Starte FastAPI Server
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7861)