Update app.py

app.py

@@ -151,17 +151,6 @@ def expand_snippet_area(soup: BeautifulSoup, snippet: str) -> Tag:
 def fine_tune_report(adjustment_request: str, openai_api_key: str, serpapi_api_key: str, report_html: str, 
                      initial_request: str, qa: str, target_style: str, knowledge_crumbs: str, 
                      complementary_guidance: str) -> (str, str):
-    """
-    ...
-    The function fine-tunes the report by:
-      1. Identifying unique strings in the area to adjust.
-      2. Using expand_snippet_area (which now receives a BeautifulSoup object) to locate the container.
-      3. Calling an LLM to produce an improved container and then replacing the original.
-      4. Optionally updating the reference table and appending a summary.
-    """
-    import os
-    import json
-
     os.environ["OPENAI_API_KEY"] = openai_api_key
     os.environ["SERPAPI_API_KEY"] = serpapi_api_key
 
@@ -172,7 +161,26 @@ def fine_tune_report(adjustment_request: str, openai_api_key: str, serpapi_api_k
     
     prompt_identify = (
         f"""You are a meticulous technical editor.
-...
+
+Below is the full report HTML and a user adjustment request.
+Extract one or more unique plain-text string(s) (without any HTML tags or formatting) that uniquely appear in the area(s) targeted by the adjustment request.
+
+// Examples
+
+    if the user request to "Add xyz in the conclusion", the unique string to identify should be specific to the conclusion
+    if the user request to "correct the graph after section 1.2", the unique string should be one of the string that appear specifically in the graph after section 1.2 (ex: the title)
+    if the user request is "Remove any mention about the car industry", the unique string(s) should be a sentence that would be in a paragraph of the report that would talk about car industry
+    --> The unique string is what would allow to identify precisely through a search the section targeted by the user request, it has to be concise and unique.
+
+Output them in a JSON object with the key "identified_unique_strings" mapped to a list of strings.
+Ensure these strings exactly match the content in the report.
+
+Full Report HTML:
+{report_html}
+
+User Adjustment Request:
+{adjustment_request}
+
 Only output valid JSON."""
     )
     response_identify = openai_call(prompt=prompt_identify, model="o3-mini", max_tokens_param=5000, temperature=0)