Update beat_the_ai.py

beat_the_ai.py

@@ -1,62 +1,62 @@
-import os
-from openai import OpenAI
-
-client = OpenAI(
-    base_url="https://api.groq.com/openai/v1",
-    api_key=os.getenv("GROQ_API_KEY")
-)
-# client = OpenAI(api_key = os.getenv("OPENAI_API_KEY"))
-
-def beat_the_ai(theme, score):
-    ques_prompt = (
-        f"Generate a unique, factually accurate quiz question on the theme of {theme} \n"
-        f"The user's current score is {score} out of 100. Use this score to adaptively determine the difficulty of the question — higher scores should correspond to higher difficulty levels.\n"
-        "Ensure that:\n"
-        "1. The question is factually accurate, unique, and not similar to previous questions. Make the question as innovative as possible so that it doesn't get repeated.\n"
-        "2. Options: A, B, C, D.\n"
-        "3. The correct answer is accurate and clearly marked.\n"
-        "4. Difficulty: Easy, Medium, Hard. The difficulty level is dynamically adjusted based on the user’s performance in the challenge:\n"
-                "-If the user score(out of 100) is high: Increase the difficulty of subsequent questions.\n"
-                "-If the user score(out of 100) is low: Lower the difficulty to provide a chance to regain confidence, but maintain a challenge level that requires learning and growth.\n"
-        f"4. Assign a difficulty level (Easy, Medium, or Hard) to the question.\n"
-f"   Evaluate the difficulty using the following weighted criteria (total score out of 10):\n"
-f"   - Concept Complexity (30%):\n"
-f"     * 1 = Basic, 2 = Intermediate, 3 = Advanced\n"
-f"   - Application Level (25%):\n"
-f"     * 1 = Pure recall, 2 = Application-based, 3 = Higher-order thinking\n"
-f"   - Ambiguity (15%):\n"
-f"     * 1 = Clear and straightforward, 2 = Moderate trickiness, 3 = Ambiguous or misleading\n"
-f"   - Time Requirement (15%):\n"
-f"     * 1 = <15 seconds, 2 = 15–45 seconds, 3 = >45 seconds to solve\n"
-f"   - Prerequisite Knowledge (15%):\n"
-f"     * 1 = None or very basic, 2 = Requires some prior understanding, 3 = Requires strong foundational knowledge\n"
-f"   Calculate the total weighted score and assign difficulty as follows:\n"
-f"     * 1.0 - 3.5  = Easy\n"
-f"     * 3.6 - 6.5  = Medium\n"
-f"     * 6.6 - 10.0 = Hard\n\n"
-        "Provide response in this format:\n"
-        "Theme: [Theme]\n"
-        "Question: [Your question here]\n"
-        "A) [Option A]\n"
-        "B) [Option B]\n"
-        "C) [Option C]\n"
-        "D) [Option D]\n"
-        "Correct answer: [Correct option letter]\n"
-        "Difficulty level: [Easy/Medium/Hard]"
-        "Do not provide the parameter details just consider them for yourself."
-    )
-
-    response = client.chat.completions.create(
-        model="gpt-4-1106-preview",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant who generates quizzes."},
-            {"role": "user", "content": ques_prompt}
-        ],
-        temperature=0.5,
-        max_tokens=1024
-    )
-    
-    return response.choices[0].message.content.strip()
-
-
+import os
+from openai import OpenAI
+
+# client = OpenAI(
+#     base_url="https://api.groq.com/openai/v1",
+#     api_key=os.getenv("GROQ_API_KEY")
+# )
+client = OpenAI(api_key = os.getenv("OPENAI_API_KEY"))
+
+def beat_the_ai(theme, score):
+    ques_prompt = (
+        f"Generate a unique, factually accurate quiz question on the theme of {theme} \n"
+        f"The user's current score is {score} out of 100. Use this score to adaptively determine the difficulty of the question — higher scores should correspond to higher difficulty levels.\n"
+        "Ensure that:\n"
+        "1. The question is factually accurate, unique, and not similar to previous questions. Make the question as innovative as possible so that it doesn't get repeated.\n"
+        "2. Options: A, B, C, D.\n"
+        "3. The correct answer is accurate and clearly marked.\n"
+        "4. Difficulty: Easy, Medium, Hard. The difficulty level is dynamically adjusted based on the user’s performance in the challenge:\n"
+                "-If the user score(out of 100) is high: Increase the difficulty of subsequent questions.\n"
+                "-If the user score(out of 100) is low: Lower the difficulty to provide a chance to regain confidence, but maintain a challenge level that requires learning and growth.\n"
+        f"4. Assign a difficulty level (Easy, Medium, or Hard) to the question.\n"
+f"   Evaluate the difficulty using the following weighted criteria (total score out of 10):\n"
+f"   - Concept Complexity (30%):\n"
+f"     * 1 = Basic, 2 = Intermediate, 3 = Advanced\n"
+f"   - Application Level (25%):\n"
+f"     * 1 = Pure recall, 2 = Application-based, 3 = Higher-order thinking\n"
+f"   - Ambiguity (15%):\n"
+f"     * 1 = Clear and straightforward, 2 = Moderate trickiness, 3 = Ambiguous or misleading\n"
+f"   - Time Requirement (15%):\n"
+f"     * 1 = <15 seconds, 2 = 15–45 seconds, 3 = >45 seconds to solve\n"
+f"   - Prerequisite Knowledge (15%):\n"
+f"     * 1 = None or very basic, 2 = Requires some prior understanding, 3 = Requires strong foundational knowledge\n"
+f"   Calculate the total weighted score and assign difficulty as follows:\n"
+f"     * 1.0 - 3.5  = Easy\n"
+f"     * 3.6 - 6.5  = Medium\n"
+f"     * 6.6 - 10.0 = Hard\n\n"
+        "Provide response in this format:\n"
+        "Theme: [Theme]\n"
+        "Question: [Your question here]\n"
+        "A) [Option A]\n"
+        "B) [Option B]\n"
+        "C) [Option C]\n"
+        "D) [Option D]\n"
+        "Correct answer: [Correct option letter]\n"
+        "Difficulty level: [Easy/Medium/Hard]"
+        "Do not provide the parameter details just consider them for yourself."
+    )
+
+    response = client.chat.completions.create(
+        model="gpt-4-1106-preview",
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant who generates quizzes."},
+            {"role": "user", "content": ques_prompt}
+        ],
+        temperature=0.5,
+        max_tokens=1024
+    )
+    
+    return response.choices[0].message.content.strip()
+
+
 print(beat_the_ai("Science", 75))