import openai
import gradio as gr

# Initialize an empty conversation history list
conversation_history = []

def chatbot_with_submit(user_input, api_token):
    global conversation_history

    # If this is the first user input, provide the chatbot introduction message
    if not conversation_history:
        conversation_history.append({"content": "You are an environmental chatbot named EcoGuide. Please provide information and advice on climate-related topics only. This includes questions related to climate change, environmental issues, sustainable practices, renewable energy, and biodiversity conservation. Please avoid responding to non-environmental topics or questions that are not related to climate or environmental concerns."})

    # Add the user input to the conversation history
    conversation_history.append({"content": user_input})

    # Set the OpenAI API key
    openai.api_key = api_token

    # Use OpenAI's API to generate a response
    prompt = "\n".join([message['content'] for message in conversation_history])
    response = openai.Completion.create(
        engine="gpt-3.5-turbo",
        prompt=prompt,
        temperature=0.7,
        max_tokens=1024,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0
    )

    # Add the chatbot's response to the conversation history
    chatbot_reply = response.choices[0].text.strip()
    conversation_history.append({"content": chatbot_reply})

    # Return the chatbot's response
    return chatbot_reply

my_input = gr.inputs.Textbox(lines=2, label='Ask ClimateApp any questions about climate-related applications!', placeholder="Type your question here...")
my_output = gr.outputs.Textbox(label="ECOWATCH AI's Response")

api_input = gr.inputs.Textbox(label="Enter your OpenAI API token:", placeholder="Insert your API token here...")

demo = gr.Interface(
    fn=chatbot_with_submit,
    inputs=[my_input, api_input],
    outputs=my_output,
    title="ECOWATCH AI -GPT",
    description='''Disclaimer: Please consult climate experts for critical matters. Our forecasts may occasionally be inaccurate.'''
)

# Share the link
demo.launch(share=False)