From 6bad38df52f8356b7e54b427b5a9c4dfbe0d0b47 Mon Sep 17 00:00:00 2001
From: Fahad Faruqi <fahadfaruqi1@gmail.com>
Date: Sun, 22 Oct 2023 02:42:30 -0400
Subject: [PATCH] nutritional information python file complete

---
 ml/nutritional.py     | 49 +++++++++++++++++++------------------------
 nutritional_info.json | 21 +++++++++++++++++++
 2 files changed, 43 insertions(+), 27 deletions(-)
 create mode 100644 nutritional_info.json

diff --git a/ml/nutritional.py b/ml/nutritional.py
index 47aa288..2ae7a4d 100644
--- a/ml/nutritional.py
+++ b/ml/nutritional.py
@@ -1,38 +1,33 @@
-import requests
-import csv
 import json
+import openai
+import csv
 
 # Replace with your GPT-4 API endpoint and API key
 GPT4_API_ENDPOINT = "https://api.openai.com/v1/chat/completions"
+# Set your OpenAI API key
 GPT4_API_KEY = json.load(open("ml/openAIKey.json"))["token"]
+openai.api_key = GPT4_API_KEY
 
-# Food item for which you want nutritional information
-food_item = "banana"
+# Define the conversation
+conversation = [
+    {"role": "user", "content": "Provide nutritional information for banana in json file format. Do not include any information that is not appropiate for the json file format"},
+]
 
-# Create a prompt for GPT-4
-prompt = f"Provide nutritional information for {food_item}"
-
-# Request data from GPT-4
-response = requests.post(
-    GPT4_API_ENDPOINT,
-    model="gpt-4",
-    headers={"Authorization": f"Bearer {GPT4_API_KEY}"},
-    json={"prompt": prompt, "max_tokens": 100},
+# Call the model
+response = openai.ChatCompletion.create(
+    model="gpt-4",  # Use the appropriate model
+    messages=conversation,
 )
-print("Response Status Code:", response.status_code)
-print("Response Content:", response.text)
-# if response.status_code == 200:
-#     # Extract nutritional information from the GPT-4 response
-#     nutritional_info = response.json()["choices"][0]["text"]
 
-#     # Save nutritional information to a CSV file
-#     with open("nutrition_info.csv", "w", newline="") as csv_file:
-#         writer = csv.writer(csv_file)
-#         writer.writerow(["Food Item", "Nutritional Information"])
-#         writer.writerow([food_item, nutritional_info])
+# Extract the nutritional information from the response
+nutritional_info = response["choices"][0]["message"]["content"]
+json_object = json.loads(nutritional_info)
+
+# Define the output JSON file name
+output_file = "nutritional_info.json"
 
-#     print(f"Nutritional information for {food_item} saved to nutrition_info.csv")
+# Write the nutritional information to a JSON file
+with open(output_file, "w") as file:
+    json.dump(json_object, file, indent=4)
 
-# else:
-#     print(response.status_code)
-#     print("Failed to retrieve nutritional information from GPT-4")
+print(f"Nutritional information saved to {output_file}")
\ No newline at end of file
diff --git a/nutritional_info.json b/nutritional_info.json
new file mode 100644
index 0000000..edbcab2
--- /dev/null
+++ b/nutritional_info.json
@@ -0,0 +1,21 @@
+{
+    "Banana": {
+        "Serving_Size": "1 medium (118g)",
+        "Calories": 105,
+        "Total_Fat": "0.3g",
+        "Sodium": "1mg",
+        "Potassium": "422mg",
+        "Total_Carbohydrate": "27g",
+        "Dietary_Fiber": "3.1g",
+        "Sugars": "14g",
+        "Protein": "1.3g",
+        "Vitamin_A": "1%",
+        "Vitamin_C": "17%",
+        "Calcium": "1%",
+        "Iron": "2%",
+        "Vitamin_D": "0%",
+        "Vitamin_B6": "20%",
+        "Vitamin_B12": "0%",
+        "Magnesium": "8%"
+    }
+}
\ No newline at end of file