Add application file

app.py

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+import gradio as gr
+from langchain import PromptTemplate
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import LLMChain
+from langchain_community.retrievers import WikipediaRetriever
+import os
+
+
+def song_meaning(song, artist):
+    artist_input = artist.title()
+    song_input = song.title()
+    query_input = f"{song_input} by {artist_input}"
+
+    retriever = WikipediaRetriever()
+    docs = retriever.get_relevant_documents(query=query_input)
+
+    template_song_meaning = """
+      {artist} has released a song called {song}.
+
+      {content}
+
+      based on the the content above what does the song {song} by {artist} tell us about? give me a long explanations
+
+      """
+
+    prompt_template_song_meaning = PromptTemplate(input_variables=["artist", "song", "content"],
+                                                  template=template_song_meaning)
+
+    llm = ChatOpenAI(openai_api_key=os.environ['OPENAI_API_KEY'], model_name="gpt-3.5-turbo", temperature=0)
+    chain = LLMChain(llm=llm, prompt=prompt_template_song_meaning)
+    results = chain.run(artist=artist_input, song=song_input, content=docs[0].page_content)
+
+    return results
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    song = gr.Textbox(label="Song")
+    artist = gr.Textbox(label="Artist")
+    output = gr.Textbox(label="Meaning")
+    gr.Interface(fn=song_meaning, inputs=[song, artist], outputs=output)
+    example = gr.Examples([['Maroon', 'Taylor Swift'], ['Devil In Her Heart', 'The Beatles'],
+                           ['Time Machine', 'Jay Chou'], ['Last Farewell', 'BIGBANG']], [song, artist])
+
+demo.launch()

requirements.txt

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+gradio
+langchain