code: import streamlit as st
  import openai
  import langchain
  
  # from langchain import PromptTemplate, LLMChain
  # from langchain.llms import OpenAI
  
  # # Set your OpenAI API key
  # openai_api_key = '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'
  
  # # Create a sidebar for language selection
  # st.sidebar.title('Translation App')
  # input_language = st.sidebar.selectbox('Input Language', ['English', 'Spanish', 'French', 'German'])
  # output_language = st.sidebar.selectbox('Output Language', ['English', 'Spanish', 'French', 'German'])
  
  # # Create a text area for user input
  # user_input = st.text_area("Enter text here", "")
  
  # # Define your prompt template
  # template = "Translate the following text from {input_language} to {output_language}: {text}"
  # prompt_template = PromptTemplate(
  #     template=template,
  #     input_variables=["input_language", "output_language", "text"]
  # )
  
  # # Define your language model
  # llm = OpenAI(api_key=openai_api_key, temperature=0)
  
  # # Define your LLMChain
  # llm_chain = LLMChain(llm=llm, prompt=prompt_template)
  
  # # Translate the text when the 'Translate' button is clicked
  # if st.button('Translate'):
  #     # Use LangChain for translation
  #     translation = llm_chain.run({
  #         "input_language": input_language,
  #         "output_language": output_language,
  #         "text": user_input
  #     })
      
  #     # Display the translation
  #     st.write(f'Translation: {translation}')
  
  
  # from langchain import PromptTemplate, LLMChain
  # from langchain.llms import OpenAI
  # import os
  
  # # Create a sidebar for language selection
  # st.sidebar.title('Translation App')
  # input_language = st.sidebar.selectbox('Input Language', ['English', 'Spanish', 'French', 'German'])
  # output_language = st.sidebar.selectbox('Output Language', ['English', 'Spanish', 'French', 'German'])
  
  # # Create a text input for the user to enter their OpenAI API key
  # openai_api_key = st.sidebar.text_input("Enter your OpenAI API key here", "")
  
  # # Set the OpenAI API key as an environment variable
  # os.environ["OPENAI_API_KEY"] = openai_api_key
  
  # # Create a text area for user input
  # user_input = st.text_area("Enter text here", "")
  
  # # Define your prompt template
  # template = "Translate the following text from {input_language} to {output_language}: {text}"
  # prompt_template = PromptTemplate(
  #    template=template,
  #    input_variables=["input_language", "output_language", "text"]
  # )
  
  # # Define your language model
  # llm = OpenAI(api_key=os.environ["OPENAI_API_KEY"], temperature=0)
  
  # # Define your LLMChain
  # llm_chain = LLMChain(llm=llm, prompt=prompt_template)
  
  # # Translate the text when the 'Translate' button is clicked
  # if st.button('Translate'):
  #    # Use LangChain for translation
  #    translation = llm_chain.run({
  #        "input_language": input_language,
  #        "output_language": output_language,
  #        "text": user_input
  #    })
     
  #    # Display the translation
  #    st.write(f'Translation: {translation}')
  
  from langchain import PromptTemplate, LLMChain
  from langchain.llms import OpenAI
  import os
  
  # Create a sidebar for language selection
  st.sidebar.title('Translation App')
  languages = ['English', 'Spanish', 'French', 'German', 'Other']
  input_language = st.sidebar.selectbox('Input Language', languages)
  output_language = st.sidebar.selectbox('Output Language', languages)
  
  # If 'Other' is selected, display a text input field
  if input_language == 'Other':
      input_language = st.sidebar.text_input("Enter your input language", "")
  if output_language == 'Other':
      output_language = st.sidebar.text_input("Enter your output language", "")
  
  # Create a text input for the user to enter their OpenAI API key
  
  # Set the OpenAI API key as an environment variable
  os.environ["OPENAI_API_KEY"] = openai_api_key
  
  # Create a text area for user input
  user_input = st.text_area("Enter text here", "", max_chars=600)
  
  if openai_api_key and input_language and output_language and user_input:
      # Define your prompt template
      template = "Translate the following text from {input_language} to {output_language}: {text}"
      prompt_template = PromptTemplate(
          template=template,
          input_variables=["input_language", "output_language", "text"]
      )
  
      # Define your language model
      llm = OpenAI(api_key=os.environ["OPENAI_API_KEY"], temperature=0)
  
      # Define your LLMChain
      llm_chain = LLMChain(llm=llm, prompt=prompt_template)
  
      # Translate the text when the 'Translate' button is clicked
      if st.button('Translate'):
          # Use LangChain for translation
          translation = llm_chain.run({
              "input_language": input_language,
              "output_language": output_language,
              "text": user_input
          })
          
          # Display the translation
          st.write(f'Translation: {translation}')
  else:
      st.write("Please enter all required information.")
  
apis: langchain.llms.OpenAI langchain.LLMChain langchain.PromptTemplate
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