Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import requests
+
+# Hugging Face'i tõlkemudel
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-et-en")
+
+# Spoonacular API
+API_KEY = "YOUR_SPOONACULAR_API_KEY"
+API_URL = "https://api.spoonacular.com/recipes/findByIngredients"
+
+# Streamlit kasutajaliides
+st.title("Retseptide generaator")
+ingredients = st.text_area("Sisesta koostisosad eesti keeles (nt kinoa, tomat)")
+max_calories = st.number_input("Maksimaalsed kalorid (valikuline)", min_value=0, step=1, value=0)
+min_protein = st.number_input("Minimaalne proteiin (valikuline)", min_value=0, step=1, value=0)
+
+if st.button("Otsi retsepte"):
+    if ingredients:
+        # Tõlgi koostisosad
+        translated_ingredients = translator(ingredients)[0]['translation_text']
+        
+        # Tee päring Spoonacular API-le
+        params = {
+            "ingredients": translated_ingredients,
+            "number": 5,
+            "apiKey": API_KEY,
+        }
+        response = requests.get(API_URL, params=params)
+        if response.status_code == 200:
+            recipes = response.json()
+            st.write("Leitud retseptid:")
+            for recipe in recipes:
+                st.write(f"- **{recipe['title']}**")
+                st.write(f"[Vaata retsepti siin]({recipe['sourceUrl']})")
+        else:
+            st.error("Viga retseptide leidmisel!")
+    else:
+        st.warning("Palun sisesta koostisosad.")