hiding gemini key

src/gpt_method.py

@@ -154,4 +154,80 @@ def get_answers_parallel(client, system_prompt, user_prompt, n=1, printing=False
         for future in futures:
             answers.append(future.result())
 
-    return answers 
+    return answers 
+
+def generate_lesson_plan(lesson_name, lesson_theme, grade_level, objectives, materials, duration, steps, assessment):
+    """
+    Generate a complete lesson plan using the provided components.
+    """
+    system_prompt = """You are an expert educator. Create a comprehensive lesson plan using the provided components.
+    Format the output in a clear, professional manner with appropriate sections and bullet points."""
+    
+    user_prompt = f"""Create a lesson plan with the following details:
+    
+    Course Name: {lesson_name}
+    Theme: {lesson_theme}
+    Grade Level: {grade_level}
+    
+    Learning Objectives:
+    {objectives}
+    
+    Materials Needed:
+    {materials}
+    
+    Duration: {duration} minutes
+    
+    Lesson Steps:
+    {steps}
+    
+    Assessment:
+    {assessment}
+    
+    Please format this into a professional lesson plan with clear sections and bullet points."""
+    
+    return get_answer_single(None, system_prompt, user_prompt)
+
+def generate_objectives(lesson_theme):
+    """
+    Generate learning objectives based on Bloom's Taxonomy.
+    """
+    system_prompt = """You are an expert educator. Generate clear, measurable learning objectives based on Bloom's Taxonomy
+    for the given lesson theme. Include objectives at different levels of Bloom's Taxonomy."""
+    
+    user_prompt = f"Generate 3-5 learning objectives for teaching {lesson_theme}. Format each objective as a bullet point."
+    
+    return get_answer_single(None, system_prompt, user_prompt)
+
+def generate_materials(lesson_theme, grade_level):
+    """
+    Generate a list of required materials for the lesson.
+    """
+    system_prompt = """You are an expert educator. Generate a comprehensive list of materials needed for the lesson,
+    considering the grade level and theme. Include both physical materials and digital resources if applicable."""
+    
+    user_prompt = f"List all materials needed to teach {lesson_theme} to {grade_level} students. Format as bullet points."
+    
+    return get_answer_single(None, system_prompt, user_prompt)
+
+def generate_steps(lesson_theme, grade_level, duration):
+    """
+    Generate detailed lesson steps with timing.
+    """
+    system_prompt = """You are an expert educator. Create a detailed, step-by-step lesson plan that includes timing
+    for each activity. Consider the grade level and ensure the steps are age-appropriate."""
+    
+    user_prompt = f"""Create a {duration}-minute lesson plan for teaching {lesson_theme} to {grade_level} students.
+    Include specific timing for each step and clear instructions. Format as numbered steps with timing."""
+    
+    return get_answer_single(None, system_prompt, user_prompt)
+
+def generate_assessment(lesson_theme, grade_level):
+    """
+    Generate assessment methods for the lesson.
+    """
+    system_prompt = """You are an expert educator. Create appropriate assessment methods for the lesson,
+    considering the grade level and learning objectives. Include both formative and summative assessments."""
+    
+    user_prompt = f"Generate assessment methods for evaluating student understanding of {lesson_theme} at the {grade_level} level. Include both formative and summative assessments."
+    
+    return get_answer_single(None, system_prompt, user_prompt) 

src/test_gemini.py

@@ -2,10 +2,13 @@ from genmi_method import History, get_answer, get_answer_generator, get_answer_s
 
 import google.generativeai as genai
 from google.generativeai import types
+import os
 
 # Configure the API
-genai.configure(api_key="AIzaSyBkA8hnF1ZNLzUPu9nDiEOwpSOHlyxfnTs")
-
+GOOGLE_API_KEY = os.getenv('Gemini_API_key')
+if not GOOGLE_API_KEY:
+    raise ValueError("GOOGLE_API_KEY environment variable is not set")
+genai.configure(api_key=GOOGLE_API_KEY)
 # Initialize the model
 model = genai.GenerativeModel('gemini-2.5-flash')