app.py

import gradio as gr
import requests

history = []  # Initialize an empty list to store conversation history

def chat_with_model(prompt,context):
    # Ensure this URL matches your FastAPI configuration
    global history
    url = "http://43.205.120.87/chat"
 #   print(history)
    response = requests.get(url, json={"prompt": prompt, "history": history})

    if response.status_code == 200:
        data = response.json()
        history.append({"role": "user", "content": prompt})  # Add user's prompt to history
        history.append({"role": "assistant", "content": data["response"]})  # Add bot's response to history
        return data["response"]
    else:
        return "Error communicating with the backend."

# Defining the Gradio interface
iface = gr.ChatInterface(fn=chat_with_model,
                     textbox=gr.Textbox(placeholder="Type your message here..."),
                     #outputs=gr.Textbox(label="Chatbot's response"),
                     title="Akhil's Chatbot (powered by GPT-3.5 Turbo)",
                     theme='HaleyCH/HaleyCH_Theme',
                    # allow_flagging="never",
                     #                   css=custom_css,
                     description="Type your prompt and get a response from GPT-3.5 Turbo!")
iface.launch()