pratikshahp commited on
Commit
bac4727
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1 Parent(s): 9ca752a

Update app.py

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Files changed (1) hide show
  1. app.py +17 -32
app.py CHANGED
@@ -3,20 +3,21 @@ from openai import OpenAI
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  import os
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  from dotenv import load_dotenv
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  load_dotenv()
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  # Set up OpenAI API key
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- api_key = os.getenv("OPENAI_API_KEY") # Replace with your API key if not using an environment variable
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  client = OpenAI(api_key=api_key)
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  # Function to query OpenAI
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- def query_openai(prompt, model="gpt-4o-mini"):
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  try:
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  response = client.chat.completions.create(
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  model=model,
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  messages=[
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- {"role": "system", "content": "You are a helpful assistant. Respond in 20 words."},
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- {"role": "user", "content": prompt}
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  ]
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  )
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  return response.choices[0].message['content']
@@ -24,34 +25,18 @@ def query_openai(prompt, model="gpt-4o-mini"):
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  return f"Error: {e}"
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  # Streamlit app
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- st.title("Simple OpenAI Chatbot")
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- # Initialize the chat history
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- if "messages" not in st.session_state:
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- st.session_state.messages = [{"role": "system", "content": "You are a helpful assistant. Respond in 20 words"}]
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- # Display chat history
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- for message in st.session_state.messages:
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- if message["role"] == "user":
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- st.markdown(f"**You:** {message['content']}")
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- elif message["role"] == "assistant":
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- st.markdown(f"**Bot:** {message['content']}")
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- # User input
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- user_input = st.text_input("Type your message:")
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-
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- # Handle user input
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- if st.button("Send"):
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- if user_input.strip():
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- # Add user input to chat history
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- st.session_state.messages.append({"role": "user", "content": user_input})
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-
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- # Get bot response
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- bot_response = query_openai(user_input)
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-
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- # Add bot response to chat history
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- st.session_state.messages.append({"role": "assistant", "content": bot_response})
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-
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- # Clear chat
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- if st.button("Clear Chat"):
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- st.session_state.messages = [{"role": "system", "content": "You are a helpful assistant. Respond in 20 words"}]
 
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  import os
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  from dotenv import load_dotenv
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+ # Load environment variables
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  load_dotenv()
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  # Set up OpenAI API key
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+ api_key = os.getenv("OPENAI_API_KEY") # Make sure to have your OpenAI API key in .env
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  client = OpenAI(api_key=api_key)
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  # Function to query OpenAI
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+ def query_openai(question, model="gpt-4o-mini"):
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  try:
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  response = client.chat.completions.create(
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  model=model,
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  messages=[
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+ {"role": "system", "content": "You are a helpful assistant. Please answer in 30 words"},
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+ {"role": "user", "content": question}
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  ]
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  )
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  return response.choices[0].message['content']
 
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  return f"Error: {e}"
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  # Streamlit app
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+ st.title("Simple Q&A Application")
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+ # User input for asking questions
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+ question = st.text_input("Ask your question:")
 
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+ # Handle user input and display the answer
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+ if st.button("Get Answer"):
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+ if question.strip():
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+ # Get answer from OpenAI API
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+ answer = query_openai(question)
 
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+ # Display the answer
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+ st.write(f"**Answer:** {answer}")
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+ else:
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+ st.warning("Please enter a question.")