Toumaima commited on
Commit
4775b2e
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1 Parent(s): 8e5bd36

Update app.py

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Files changed (1) hide show
  1. app.py +20 -3
app.py CHANGED
@@ -25,7 +25,7 @@ class BasicAgent:
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  self.qa_pipeline = pipeline("question-answering")
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  self.ner_pipeline = pipeline("ner", aggregation_strategy="simple")
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  self.embedding_model = pipeline("feature-extraction")
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-
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  def extract_named_entities(self, text):
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  entities = self.ner_pipeline(text)
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  return [e["word"] for e in entities if e["entity_group"] == "PER"]
@@ -42,6 +42,7 @@ class BasicAgent:
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  audio_path = "temp_audio.wav"
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  video.audio.write_audiofile(audio_path)
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  result = self.whisper_model.transcribe(audio_path)
 
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  return result["text"]
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  def search(self, question: str) -> str:
@@ -61,9 +62,26 @@ class BasicAgent:
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  except:
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  return context # Fallback to context if QA fails
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  def __call__(self, question: str, video_path: str = None) -> str:
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  print(f"Agent received question: {question[:60]}...")
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  if video_path:
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  transcription = self.call_whisper(video_path)
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  print(f"Transcribed video: {transcription[:100]}...")
@@ -73,7 +91,7 @@ class BasicAgent:
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  answer = self.answer_question(question, context)
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  q_lower = question.lower()
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- # Enhance based on question type
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  if "who" in q_lower:
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  people = self.extract_named_entities(context)
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  return f"👤 Who: {', '.join(people) if people else 'No person found'}\n\n🧠 Answer: {answer}"
@@ -92,7 +110,6 @@ class BasicAgent:
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  else:
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  return f"🧠 Answer: {answer}"
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-
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  # --- Submission Function ---
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  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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  self.qa_pipeline = pipeline("question-answering")
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  self.ner_pipeline = pipeline("ner", aggregation_strategy="simple")
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  self.embedding_model = pipeline("feature-extraction")
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+
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  def extract_named_entities(self, text):
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  entities = self.ner_pipeline(text)
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  return [e["word"] for e in entities if e["entity_group"] == "PER"]
 
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  audio_path = "temp_audio.wav"
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  video.audio.write_audiofile(audio_path)
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  result = self.whisper_model.transcribe(audio_path)
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+ os.remove(audio_path)
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  return result["text"]
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  def search(self, question: str) -> str:
 
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  except:
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  return context # Fallback to context if QA fails
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+ def handle_logic_riddles(self, question: str) -> str | None:
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+ q = question.lower().strip()
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+
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+ if re.search(r"opposite of the word ['\"]?left['\"]?", q):
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+ return "right"
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+
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+ # Add more patterns here
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+ if re.match(r".*first letter of the alphabet.*", q):
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+ return "a"
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+
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+ return None
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+
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  def __call__(self, question: str, video_path: str = None) -> str:
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  print(f"Agent received question: {question[:60]}...")
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+ # Handle logic/riddle questions first
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+ logic_answer = self.handle_logic_riddles(question)
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+ if logic_answer is not None:
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+ return f"🧠 Logic Answer: {logic_answer}"
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+
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  if video_path:
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  transcription = self.call_whisper(video_path)
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  print(f"Transcribed video: {transcription[:100]}...")
 
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  answer = self.answer_question(question, context)
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  q_lower = question.lower()
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+ # Enhanced formatting based on question type
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  if "who" in q_lower:
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  people = self.extract_named_entities(context)
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  return f"👤 Who: {', '.join(people) if people else 'No person found'}\n\n🧠 Answer: {answer}"
 
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  else:
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  return f"🧠 Answer: {answer}"
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  # --- Submission Function ---
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  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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