app.py

import gradio as gr
import os
import openai

# Set your OpenAI API key
openai.api_key = os.environ.get("OAPI")

title = "OpenAI Agriculture Chatbot Demo"
description = "Example of a simple chatbot with Gradio using OpenAI's GPT-3.5 model"
placeholder = "Ask me anything..."
examples = ["What crops are suitable for the upcoming monsoon season?", 
            "How can I improve soil fertility in my farmland?", 
            "Could you provide tips for pest management in organic farming?"]

def chat_with_openai(user_input, history):
    # Use OpenAI's completion endpoint to generate a response
    completion = openai.Completion.create(
        engine="gpt-3.5-turbo-instruct",  # Choose the GPT-3.5 model engine
        prompt=user_input,
        max_tokens=100  # Adjust based on the desired response length
    )
    return completion.choices[0].text.strip()

iface = gr.ChatInterface(
    fn=chat_with_openai,
    chatbot=gr.Chatbot(height=300),
    textbox=gr.Textbox(placeholder=placeholder, container=False, scale=7),
    title=title,
    description=description,
    theme="light",  # Adjust theme as needed
    examples=examples,
    cache_examples=True,
    retry_btn=None,
    undo_btn="Undo",
    clear_btn="Clear",
)

iface.launch(share=True)