Create ins.txt

ins.txt

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