Update app.py

app.py

@@ -193,22 +193,35 @@ class get_recipe_name(BaseModel):
 def generate_recipe_name(base64_image):
     # Example of how the JSON should look to make it clearer
     example_json_structure = {
-        "recipe_name": [""],
-        "ingredients": [
-            ["", "", "", "", "", "", ""],
-            ["", "", "", "", "", "", ""]
-        ]
-    }
+    "recipe_name": "Chicken Karhai",
+    "ingredients": [
+        "chicken",
+        "tomatoes",
+        "onions",
+        "ginger",
+        "garlic",
+        "green chilies",
+        "yogurt",
+        "cumin seeds",
+        "coriander powder",
+        "red chili powder",
+        "turmeric powder",
+        "garam masala",
+        "fresh coriander leaves",
+        "oil",
+        "salt"
+    ]
+}
 
     # Generating the query prompt to ask for ingredients
     text_query = f'''What are the ingredients used in these dishes? Do not add any explanation, just write the names of the ingredients in proper JSON according to the following format:
     The JSON object must follow this schema:
     {json.dumps(get_recipe_name.model_json_schema(), indent=2)}
-
+    
     Example format:
     {json.dumps(example_json_structure, indent=2)}
-
-    Write the name of the dish and then write the ingredients used for each recipe According to the Pakistani Food Items.
+    
+    Write the name of the dish and then list the ingredients used for each recipe, focusing on traditional Pakistani ingredients and terminology.
     '''
 
     chat_completion = client.chat.completions.create(
@@ -231,15 +244,9 @@ def generate_recipe_name(base64_image):
         model="llama-3.2-90b-vision-preview")
     return json.loads(chat_completion.choices[0].message.content)
 
-
-
-
-
 app = FastAPI()
 
 
-
-
 @app.post("/get_recipe/{token}")
 async def get_recipe_response(token: str, recipe_user: RecipeData):
     user = user_collection.find_one({"token": token})