Add system

system/pledge_tracking.py

@@ -85,7 +85,12 @@ def run_pipeline(claim, pledge_date, pledge_author, start_date, timestamp, user_
             questions = {line["question"] for line in json.load(f)["evidence"]}
             line_count = len(questions)
         if update_fn: 
-            update_fn(step_id, f"{line_count} relevant queries are generated")
+            update_fn(step_id, f"{line_count} relevant queries are generated, for example:\n"
+                      f"{questions[0]}\n"
+                      f"{questions[1]}\n"
+                      f"{questions[2]}\n"
+                      f"{questions[3]}\n"
+                      f"{questions[4]}\n")
             step_id+=1
 
     else: 
@@ -99,7 +104,17 @@ def run_pipeline(claim, pledge_date, pledge_author, start_date, timestamp, user_
                 repo_type="dataset",                     
                 token=os.environ["HF_TOKEN"]            
             )
-        print(qa_file_path)
+        with open(qa_file_path, "r", encoding="utf-8") as f:
+            questions = {line["question"] for line in json.load(f)["evidence"]}
+            line_count = len(questions)
+        if update_fn: 
+            update_fn(step_id, f"relevant queries are generated, for example:\n"
+                      f"{questions[0]}\n"
+                      f"{questions[1]}\n"
+                      f"{questions[2]}\n"
+                      f"{questions[3]}\n"
+                      f"{questions[4]}\n")
+            step_id+=1
 
 
     augmented_tsv_file = run_augmented_searching(

test.html

@@ -159,11 +159,12 @@
       };
 
       const stepListSuggestion = {
-        1: "Retrieving evidence based on genertaed queries",
-        2: "Scraping documents from URLs",
-        3: "Finding the most relevant documents",
-        4: "Extracting events from top documents",
-        5: "Sorting events temporally"
+        1: "Generating queries to retrieve evidence",
+        2: "Searching more articles",
+        3: "Scraping documents from URLs",
+        4: "Finding the most relevant documents",
+        5: "Extracting events from top documents",
+        6: "Sorting events temporally"
       };
 
       let stepList = stepListStandard;