app_2

app.py

@@ -159,6 +159,12 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
         timeout=None,
         max_retries=3
     )
+
+    if len(cluster_text.split()) < 50:  
+        return {
+            "status": "insufficient",
+            "reason": f"Text is too short ({len(cluster_text.split())} words). Minimum 50 words required for analysis."
+        }
     
     if is_full_text:
         prompt = f"""
@@ -167,8 +173,19 @@ def analyze_segment_with_gemini(cluster_text, is_full_text=False):
             - 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:
+            Analyze the following text:
+            FIRST ASSESS THE TEXT:
+            - Is it primarily self-introduction, biographical information, or conclusion?
+            - Does it lack meaningful content for analysis?
+            
+            IF THE TEXT IS INSUFFICIENT (introductory, concluding, or lacking substance):
+            Return ONLY this JSON structure:
+            {{
+                "status": "insufficient",
+                "reason": "Brief explanation (e.g., 'Text is primarily self-introduction', 'Text lacks substantive content')"
+            }}
             
+            IF THE TEXT HAS SUFFICIENT MEANINGFUL CONTENT:          
             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
@@ -216,25 +233,22 @@ 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"""
-            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 segment and provide:
+            FIRST ASSESS THE TEXT:
+            - Is it primarily self-introduction, biographical information, or conclusion?
+            - Does it lack meaningful content for analysis?
+            
+            IF THE TEXT IS INSUFFICIENT (introductory, concluding, or lacking substance):
+            Return ONLY this JSON structure:
+            {{
+                "status": "insufficient",
+                "reason": "Brief explanation (e.g., 'Text is primarily self-introduction', 'Text lacks substantive content')"
+            }}
+            
+            IF THE TEXT HAS SUFFICIENT MEANINGFUL CONTENT:            
             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)
@@ -275,14 +289,6 @@ 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.)"
-            }}
-
-            
         """
 
     response = llm.invoke(prompt)