Update app.py

app.py

@@ -395,7 +395,9 @@ def openai_call(prompt: str, messages: list = None, model: str = "o3-mini",
         return err_msg
 
 def analyze_with_gpt4o(query: str, snippet: str, breadth: int, temperature: float = 0.7, max_tokens: int = 8000) -> dict:
-    # measure snippet length
+    # If snippet is a callable, call it to get the string.
+    if callable(snippet):
+        snippet = snippet()
     snippet_words = len(snippet.split())
     # decide a proportional max tokens (cap at 3000 for example)
     # e.g. 1 token ~ ~0.75 words, so we do something simplistic:
@@ -1347,7 +1349,8 @@ def iterative_deep_research_gen(initial_query: str, reportstyle: str, breadth: i
                 analysis = analyze_with_gpt4o(initial_query, semantically_rich_snippet, breadth)
                 
                 # Analyze the cleaned content with GPT-4o-mini
-                analysis = analyze_with_gpt4o(initial_query, clean_content, breadth)
+                cleaned_text = clean_content(raw_content)  # Call the function to get a string.
+                analysis = analyze_with_gpt4o(initial_query, cleaned_text, breadth)
                 analysis_summary = analysis.get("summary", "")
                 if isinstance(analysis_summary, (dict, list)):
                     analysis_summary = json.dumps(analysis_summary)