Update app.py

app.py

@@ -2,6 +2,8 @@ from transformers import pipeline
 from PIL import Image
 import gradio as gr
 import os
+import requests
+import json
 
 model_name = "larimei/food-classification-ai"
 
@@ -9,8 +11,46 @@ classifier = pipeline("image-classification", model=model_name)
 
 def predict_image(image):
     predictions = classifier(image)
-    return predictions[0]['label']
+    return getRecipe(predictions[0]['label'])
 
+def getRecipe(meal):
+    #meal = "hamburger"
+    app_id = "24bf0913"
+    app_key = "03c60f26520f9d25b0d0617e50993aaa"
+    #field = ["label"]
+    field = ["uri","label","image","ingredientLines","source","url"]
+    url = "https://api.edamam.com/api/recipes/v2"
+
+
+
+    #url2 = "https://api.edamam.com/api/recipes/v2?type=public&q=chicken%20curry&app_id=24bf0913&app_key=03c60f26520f9d25b0d0617e50993aaa"
+
+    querystring = {"type":"public",
+                    "q": meal.replace("_"," "),
+                    "app_id": app_id,
+                    "app_key": app_key,
+                    "field":  field}
+
+
+    response = requests.get(url, params=querystring)
+
+    #print(response.content)
+
+    json_object = response.json()
+
+    json_formatted_str = json.dumps(json_object["hits"][0], indent=2) #nur das erste der 20 aus der liste
+
+    #print(json_formatted_str)
+    #print(json_object)
+
+    #whole response
+    #return json_object
+
+    #just one result
+    #return json_object["hits"][0]
+
+    #just one result
+    return json_object["hits"][0]["recipe"]["ingredientLines"]
 
 title = "Recipifier"
 description = "blablabla"