improving prompt

app.py

@@ -162,20 +162,19 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
     
     if is_full_text:
         prompt = f"""
-            Analyze the following text (likely a transcript or document) and:
-            
             FIRST ASSESS THE TEXT:
             - Check if it's primarily self-introduction, biographical information, or conclusion
             - Check if it's too short or lacks meaningful content (less than 100 words of substance)
             - If either case is true, respond with a simple JSON: {{"status": "insufficient", "reason": "Brief explanation"}}
+        
+            Analyze the following text (likely a transcript or document) and:
             
-            IF THE TEXT HAS SUFFICIENT MEANINGFUL CONTENT:
-            1. Identify DISTINCT key topics within the text
+            1. First, do text segmentation and identify DISTINCT key topics within the text
             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
                - Write a brief summary of that segment (3-5 sentences)
-               - Create 5 quiz questions based DIRECTLY on the content in that segment, ONLY if the segment contains factual information
+               - Create 5 quiz questions based DIRECTLY on the content in that segment
             
             For each quiz question:
             - Create one correct answer that comes DIRECTLY from the text
@@ -188,7 +187,6 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
             
             Format your response as JSON with the following structure:
             {{
-                "status": "processed",
                 "segments": [
                     {{
                         "topic_name": "Name of segment 1",
@@ -218,32 +216,24 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
                     // More segments...
                 ]
             }}
-            
-            OR if the text is just introductory, concluding, or insufficient:
-            {{
-                "status": "insufficient",
-                "reason": "Brief explanation of why (e.g., 'Text is primarily self-introduction', 'Text is too short', etc.)"
-            }}
         """
     else:
         prompt = f"""
-            Analyze the following text segment and:
-            
             FIRST ASSESS THE TEXT:
             - Check if it's primarily self-introduction, biographical information, or conclusion
             - Check if it's too short or lacks meaningful content (less than 100 words of substance)
             - If either case is true, respond with a simple JSON: {{"status": "insufficient", "reason": "Brief explanation"}}
-            
-            IF THE TEXT HAS SUFFICIENT MEANINGFUL CONTENT:
+
+            Analyze the following text segment and provide:
             1. A SPECIFIC and DESCRIPTIVE topic name (3-5 words) that precisely captures the main focus
             2. 3-5 key concepts discussed
             3. A brief summary (6-7 sentences)
-            4. Create 5 quiz questions based DIRECTLY on the text content (not from your summary), ONLY if the segment contains factual information
+            4. Create 5 quiz questions based DIRECTLY on the text content (not from your summary)
             
             For each quiz question:
             - Create one correct answer that comes DIRECTLY from the text
             - Create two plausible but incorrect answers
-            - IMPORTANT: Ensure all answer options have similar length (± 3 words)
+            - IMPORTANT and STRICTLY: Ensure all answer options have similar length (± 3 words)
             - Ensure the correct answer is clearly indicated
             
             Text segment:
@@ -251,7 +241,6 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
             
             Format your response as JSON with the following structure:
             {{
-                "status": "processed",
                 "topic_name": "Name of the topic",
                 "key_concepts": ["concept1", "concept2", "concept3"],
                 "summary": "Brief summary of the text segment.",
@@ -276,12 +265,6 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
                     // More questions...
                 ]
             }}
-            
-            OR if the text is just introductory, concluding, or insufficient:
-            {{
-                "status": "insufficient",
-                "reason": "Brief explanation of why (e.g., 'Text is primarily self-introduction', 'Text is too short', etc.)"
-            }}
         """
 
 def process_document_with_quiz(text):