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import openai |
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import os |
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import streamlit as st |
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from PIL import Image |
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def translate_to_japanese(api_key, text): |
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""" |
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Translates English text to Japanese using OpenAI's API and provides pronunciation. |
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""" |
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# Validate input |
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if not api_key: |
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return "Error: API key is missing." |
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if not text: |
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return "Error: Input text is empty." |
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|
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# Set the OpenAI API key |
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openai.api_key = api_key |
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|
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# Define the messages for the chat model |
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messages_translation = [ |
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{"role": "system", "content": "You are a helpful translator."}, |
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{"role": "user", "content": f"Translate the following English text to Japanese:\n\n{text}"} |
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] |
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try: |
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# Call the OpenAI API to get the Japanese translation |
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response_translation = openai.ChatCompletion.create( |
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model="gpt-4o", # Use the correct endpoint for chat models |
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messages=messages_translation, |
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max_tokens=300, |
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temperature=0.5 |
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) |
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# Extract the Japanese translation from the response |
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japanese_translation = response_translation.choices[0].message['content'].strip() |
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# Define the messages for the pronunciation (Romaji) request |
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messages_pronunciation = [ |
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{"role": "system", "content": "You are a helpful assistant who provides the Romaji (Japanese pronunciation in Latin script) of Japanese text."}, |
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{"role": "user", "content": f"Provide the Romaji pronunciation for the following Japanese text:\n\n{japanese_translation}"} |
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] |
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# Call the OpenAI API to get the pronunciation |
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response_pronunciation = openai.ChatCompletion.create( |
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model="gpt-4o", |
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messages=messages_pronunciation, |
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max_tokens=300, |
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temperature=0.5 |
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) |
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# Extract the pronunciation (Romaji) from the response |
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pronunciation = response_pronunciation.choices[0].message['content'].strip() |
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return japanese_translation, pronunciation |
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|
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except openai.error.OpenAIError as e: |
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return f"OpenAI API error: {str(e)}", None |
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except Exception as e: |
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return f"An unexpected error occurred: {str(e)}", None |
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# Streamlit UI |
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st.title("English to Japanese Translator with Pronunciation") |
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st.markdown("Translate English text into Japanese and get its pronunciation (Romaji) using OpenAI's API.") |
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translateimg = Image.open("Untitled.png") # Ensure the file is in the correct directory |
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st.image(translateimg, use_container_width=True) # Adjust the size as per preference |
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# Access the API key from Hugging Face Secrets |
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api_key = os.getenv("OPENAI_API_KEY") |
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# Input field for the text |
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english_text = st.text_area("Enter the English text to translate") |
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# Button to trigger the translation |
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if st.button("Translate"): |
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if api_key and english_text: |
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japanese_text, pronunciation = translate_to_japanese(api_key, english_text) |
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if pronunciation: |
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st.markdown("### Translation Result:") |
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st.write(f"**English Text:** {english_text}") |
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st.write(f"**Japanese Output:** {japanese_text}") |
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st.write(f"**Pronunciation:** {pronunciation}") |
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# Save the result in a text file |
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result_text = f"English Text: {english_text}\n\nJapanese Translation: {japanese_text}\nPronunciation: {pronunciation}" |
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# Write to a text file |
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with open("translation_result.txt", "w") as file: |
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file.write(result_text) |
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# Create a download button for the user to download the file |
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with open("translation_result.txt", "rb") as file: |
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st.download_button( |
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label="Download Translation Result", |
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data=file, |
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file_name="translation_result.txt", |
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mime="text/plain" |
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) |
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translateimg2 = Image.open("v3.png") # Ensure the file is in the correct directory |
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st.image(translateimg2, width=150) # Adjust the size as per preference |
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else: |
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st.error(japanese_text) # Display error message if API call fails |
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else: |
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if not api_key: |
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st.error("API key is missing. Please add it as a secret in Hugging Face Settings.") |
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else: |
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st.error("Please provide text to translate.") |
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|
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(Now I want to have the pronounciation text also be in voice can I do this?) |
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|
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import openai |
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import os |
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import streamlit as st |
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from PIL import Image |
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from gtts import gTTS |
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import tempfile |
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import shutil |
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|
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def translate_to_japanese(api_key, text): |
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""" |
|
Translates English text to Japanese using OpenAI's API and provides pronunciation. |
|
""" |
|
# Validate input |
|
if not api_key: |
|
return "Error: API key is missing." |
|
if not text: |
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return "Error: Input text is empty." |
|
|
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# Set the OpenAI API key |
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openai.api_key = api_key |
|
|
|
# Define the messages for the chat model |
|
messages_translation = [ |
|
{"role": "system", "content": "You are a helpful translator."}, |
|
{"role": "user", "content": f"Translate the following English text to Japanese:\n\n{text}"} |
|
] |
|
|
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try: |
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# Call the OpenAI API to get the Japanese translation |
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response_translation = openai.ChatCompletion.create( |
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model="gpt-4o", # Use the correct endpoint for chat models |
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messages=messages_translation, |
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max_tokens=300, |
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temperature=0.5 |
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) |
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# Extract the Japanese translation from the response |
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japanese_translation = response_translation.choices[0].message['content'].strip() |
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|
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# Define the messages for the pronunciation (Romaji) request |
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messages_pronunciation = [ |
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{"role": "system", "content": "You are a helpful assistant who provides the Romaji (Japanese pronunciation in Latin script) of Japanese text."}, |
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{"role": "user", "content": f"Provide the Romaji pronunciation for the following Japanese text:\n\n{japanese_translation}"} |
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] |
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|
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# Call the OpenAI API to get the pronunciation |
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response_pronunciation = openai.ChatCompletion.create( |
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model="gpt-4o", |
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messages=messages_pronunciation, |
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max_tokens=300, |
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temperature=0.5 |
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) |
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# Extract the pronunciation (Romaji) from the response |
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pronunciation = response_pronunciation.choices[0].message['content'].strip() |
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return japanese_translation, pronunciation |
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except openai.error.OpenAIError as e: |
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return f"OpenAI API error: {str(e)}", None |
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except Exception as e: |
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return f"An unexpected error occurred: {str(e)}", None |
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# Function to generate audio file from text using gTTS |
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def generate_audio_from_text(text): |
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tts = gTTS(text, lang='ja') # 'ja' for Japanese language |
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# Save audio to a temporary file |
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temp_audio_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") |
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tts.save(temp_audio_file.name) |
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return temp_audio_file.name |
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# Streamlit UI |
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st.title("English to Japanese Translator with Pronunciation") |
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st.markdown("Translate English text into Japanese and get its pronunciation (Romaji) using OpenAI's API.") |
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|
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translateimg = Image.open("Untitled.png") # Ensure the file is in the correct directory |
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st.image(translateimg, use_container_width=True) # Adjust the size as per preference |
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# Access the API key from Hugging Face Secrets |
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api_key = os.getenv("OPENAI_API_KEY") |
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# Input field for the text |
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english_text = st.text_area("Enter the English text to translate") |
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|
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# Button to trigger the translation |
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if st.button("Translate"): |
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if api_key and english_text: |
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japanese_text, pronunciation = translate_to_japanese(api_key, english_text) |
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if pronunciation: |
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st.markdown("### Translation Result:") |
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st.write(f"**English Text:** {english_text}") |
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st.write(f"**Japanese Output:** {japanese_text}") |
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st.write(f"**Pronunciation:** {pronunciation}") |
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# Save the result in a text file |
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result_text = f"English Text: {english_text}\n\nJapanese Translation: {japanese_text}\nPronunciation: {pronunciation}" |
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# Write to a text file |
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with open("translation_result.txt", "w") as file: |
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file.write(result_text) |
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|
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# Create a download button for the user to download the file |
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with open("translation_result.txt", "rb") as file: |
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st.download_button( |
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label="Download Translation Result", |
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data=file, |
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file_name="translation_result.txt", |
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mime="text/plain" |
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) |
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# Generate audio for pronunciation |
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audio_file_path = generate_audio_from_text(pronunciation) |
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# Provide a button to play the pronunciation audio |
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st.audio(audio_file_path, format="audio/mp3") |
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translateimg2 = Image.open("v3.png") # Ensure the file is in the correct directory |
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st.image(translateimg2, width=150) # Adjust the size as per preference |
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else: |
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st.error(japanese_text) # Display error message if API call fails |
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else: |
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if not api_key: |
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st.error("API key is missing. Please add it as a secret in Hugging Face Settings.") |
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else: |
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st.error("Please provide text to translate.") |
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