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Update tool2.py
Browse files
tool2.py
CHANGED
@@ -39,9 +39,13 @@ def display_question(index, audio_enabled, selected_questions):
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return "Question index out of range.", [], None
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def get_explanation_and_answer(index, selected_questions):
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"""Retrieves the explanation and correct answer for a given question index."""
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if 0 <= index < len(selected_questions):
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return "No explanation available.", ""
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# Text-to-speech function with rate limiting, retry mechanism, and client rotation
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@@ -98,54 +102,4 @@ try:
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clients.append(client_3)
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print("Loaded voice transformer TTS client (client_3) ✔")
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except ValueError as e:
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print(f"Error loading voice transformer TTS client (
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print("Voice Transformer Text-to-Speech (client_3) will be unavailable.")
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except Exception as e: # Catch other potential exceptions during client initialization
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print(f"An unexpected error occurred during voice transformer TTS client (client_3) initialization: {e}")
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print("Voice Transformer Text-to-Speech (client_3) will be unavailable.")
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if not clients:
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print("No Text-to-speech clients loaded due to errors. Audio functionality will be disabled.")
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else:
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print(f"Loaded {len(clients)} TTS clients.")
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# Text-to-speech function with rate limiting, retry mechanism, and client rotation
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def text_to_speech(text, retries=3, delay=5):
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global clients # Ensure we are using the global clients list
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if not clients: # If no clients are loaded, return None immediately
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print("Warning: No Text-to-speech clients available.")
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return None
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client_index = 0 # Start with the first available client
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for attempt in range(retries):
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try:
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client = clients[client_index % len(clients)] # Use modulo to cycle through available clients
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client_index += 1 # Increment client_index for the next attempt in case of rate limit
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print(f"Attempt {attempt + 1} using client: {client_index % len(clients) + 1}") # Client index for logging (1-based)
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if client == client_fast: # Check if using client_fast
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result = client.predict(
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language="English",
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repo_id="csukuangfj/vits-piper-en_US-hfc_female-medium|1 speaker",
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text=text,
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sid="0",
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speed=0.8,
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api_name="/process"
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)
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else: # Assuming client_2 or client_3 or any other client in the future
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result = client.predict(
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text=text,
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api_name="/predict"
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)
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return result
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except httpx.HTTPStatusError as e:
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if e.response.status_code == 429:
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print(f"Rate limit exceeded using client {client_index % len(clients) + 1}. Retrying in {delay} seconds...")
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time.sleep(delay)
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else:
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raise e
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except Exception as e: # Catch any other potential errors during prediction
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print(f"Error during text-to-speech prediction using client {client_index % len(clients) + 1}: {e}")
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# Consider rotating client on any error, not just rate limits, to try other clients if available
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client_index += 1 # Rotate to the next client for the next attempt
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print("Max retries exceeded for all TTS clients. Could not process the request.")
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return None
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return "Question index out of range.", [], None
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def get_explanation_and_answer(index, selected_questions):
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"""Retrieves the explanation and correct answer for a given question index, handling missing explanations."""
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if 0 <= index < len(selected_questions):
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question_data = selected_questions[index]
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# Use get() with a default value to handle missing 'explanation' key
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explanation = question_data.get("explanation", "No explanation available.")
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correct_answer = question_data["answer"] # Assume 'answer' key always exists
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return explanation, correct_answer
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return "No explanation available.", ""
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# Text-to-speech function with rate limiting, retry mechanism, and client rotation
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clients.append(client_3)
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print("Loaded voice transformer TTS client (client_3) ✔")
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except ValueError as e:
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print(f"Error loading voice transformer TTS client (
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