Update app.py

app.py

@@ -1,73 +1,41 @@
-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
-    )
+import gradio as gr
 
-# --------------------------------------
-# FastAPI-Server für eigene API
-# --------------------------------------
 app = FastAPI()
 
+def generate_recipe(required, available, max_ingredients):
+    # Platzhalter-Logik
+    return f"Rezept mit {required}, {available}, max. {max_ingredients} Zutaten."
+
+# API-Endpunkt für curl etc.
 @app.post("/generate")
 async def generate(request: Request):
-    data = await request.json()
-    required = data.get("required", "")
-    available = data.get("available", "")
-    max_ingredients = int(data.get("max_ingredients", 6))
-    result = generate_recipe_api(required, available, max_ingredients)
-    return JSONResponse(content=json.loads(result))
-
-# --------------------------------------
-# Beide Server starten
-# --------------------------------------
-def launch_gradio():
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
-
-threading.Thread(target=launch_gradio).start()
-
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7861)
+    try:
+        data = await request.json()
+        required = data.get("required", "")
+        available = data.get("available", "")
+        max_ingredients = data.get("max_ingredients", 5)
+        result = generate_recipe(required, available, max_ingredients)
+        return {"recipe": result}
+    except Exception as e:
+        return JSONResponse(status_code=400, content={"error": str(e)})
+
+# Gradio-UI
+def gradio_interface(required, available, max_ingredients):
+    return generate_recipe(required, available, max_ingredients)
+
+demo = gr.Interface(
+    fn=gradio_interface,
+    inputs=[
+        gr.Textbox(label="Benötigte Zutaten"),
+        gr.Textbox(label="Verfügbare Zutaten"),
+        gr.Slider(1, 10, value=5, label="Maximale Zutatenanzahl")
+    ],
+    outputs="text",
+    title="Rezeptgenerator"
+)
+
+@app.get("/")
+def gradio_root():
+    return gr.mount_gradio_app(app, demo, path="/")