Create generate_with_claude.py

generate_with_claude.py

@@ -0,0 +1,88 @@
+def generate_with_claude(text, api_key, course_name="", section_name="", lesson_name=""):
+    client = Anthropic(api_key=api_key)
+    
+    segment_analysis_schema = TextSegmentAnalysis.model_json_schema()
+    
+    tools = [
+        {
+            "name": "build_segment_analysis",
+            "description": "Build the text segment analysis with quiz questions",
+            "input_schema": segment_analysis_schema
+        }
+    ]
+    
+    system_prompt = """You are a helpful assistant specialized in text analysis and educational content creation. 
+    You analyze texts to identify distinct segments, create summaries, and generate quiz questions."""
+    
+    prompt = f"""Analyze the following text and identify distinct segments within it and do text segmentation:
+1. Segments should be STRICTLY max=15
+2. For each segment/topic you identify:
+   - Provide a SPECIFIC and UNIQUE topic name (3-5 words) that clearly differentiates it from other segments
+   - List 3-5 key concepts discussed in that segment (be precise and avoid repetition between segments)
+   - Write a brief summary of that segment (3-5 sentences)
+   - Create 5 high-quality, meaningful quiz questions based DIRECTLY on the content in that segment only
+   - Questions and answers should be only from the content of the segment
+
+For each quiz question:
+- Create cognitively demanding questions that test COMPREHENSION and ANALYSIS, not just recall
+- Focus on CORE PRINCIPLES, key insights, and conceptual understanding
+- Questions should require readers to think critically about the material
+- AVOID superficial questions about statistics, numbers, or trivial details 
+- AVOID questions about the document structure or presentation
+- Create one correct answer that comes DIRECTLY from the text
+- Create two plausible but incorrect answers that require discernment
+- Ensure all answer options have similar length (± 2 words)
+- Ensure the correct answer is clearly indicated with a ✓ symbol
+
+IMPORTANT QUIZ QUESTION CRITERIA:
+- Questions should assess understanding of fundamental concepts and principles
+- Questions should require application of knowledge, not just memorization
+- Questions should focus on important ideas that have educational value
+- Questions should be meaningful in an educational context
+- Questions should challenge the reader to think about implications and connections
+- No need for questions on the introduction, conclusion or the demonstration from the context
+
+    ADDITIONAL REQUIREMENT:
+    - **First, detect the language of the original text.**
+    - **Generate ALL output (topic names, key concepts, summaries, and quizzes) in the same language as the original text.**
+    - If the text is in Russian, generate all responses in Russian.
+    - If the text is in another language, generate responses in that original language.
+
+
+Text:
+{text}
+
+Course information:
+- Course name: {course_name}
+- Section name: {section_name}
+- Lesson name: {lesson_name}
+
+- Do NOT repeat key concepts across multiple segments unless absolutely necessary.
+- Ensure the quiz questions challenge the reader and are not easily guessable.
+- FOCUS ON CONCEPTUAL UNDERSTANDING, not trivial facts or statistics.
+"""
+
+    try:
+        response = client.messages.create(
+            model="claude-3-5-sonnet-20241022",
+            max_tokens=8192,
+            temperature=0.7,
+            system=system_prompt,
+            messages=[
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            tools=tools,
+            tool_choice={"type": "tool", "name": "build_segment_analysis"}
+        )
+        
+        # Extract the tool call content
+        if response.content and len(response.content) > 0 and hasattr(response.content[0], 'input'):
+            function_call = response.content[0].input
+            return function_call
+        else:
+            raise Exception("No valid tool call found in the response")
+    except Exception as e:
+        raise Exception(f"Error calling Anthropic API: {str(e)}")