app5.py

import gradio as gr
import random
import time
import os
import requests
import base64

import random

import pymongo
import certifi


token = '5UAYO8UWHNQKT3UUS9H8V360L76MD72DRIUY9QC2'

# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.

uri = "mongodb+srv://clementrof:t5fXqwpDQYFpvuCk@cluster0.rl5qhcj.mongodb.net/?retryWrites=true&w=majority"

# Create a new client and connect to the server
client = pymongo.MongoClient(uri, tlsCAFile=certifi.where())

# Send a ping to confirm a successful connection
try:
    client.admin.command('ping')
    print("Pinged your deployment. You successfully connected to MongoDB!")
except Exception as e:
    print(e)

# Access your database
db = client.get_database('camila')
records = db.info



last_used_id = 0


def generate_unique_id():
    global last_used_id
    last_used_id += random.randint(100, 1000000)
    return last_used_id


def clear_button_callback():
    global last_used_id
    # Generate a new unique ID when the clear button is clicked
    ID = generate_unique_id()

    # Update the ID attribute in the chatbot object
    chatbot.ID = ID




def save(ID, response, message_text):
    # Check if the user already has a collection
    records.find_one({'ID': ID})
    records.update_one({'ID': ID}, 
    {'$push':{'message':  {'role': 'user', 'content': f'{message_text}'}}})
    records.update_one({'ID': ID}, 
    {'$push':{'message': {'role': 'assistant', 'content': f'{response}'}}})
    return response



#########################################
#########################################

def LLM_call(message_log):

    serverless_api_id = '4whzcbwuriohqh'
    # Define the URL you want to send the request to
    url = f"https://api.runpod.ai/v2/{serverless_api_id}/run"

    # Define your custom headers
    headers = {
        "Authorization": f"Bearer {token}",
        "Accept": "application/json",
        "Content-Type": "application/json"
    }

       

    # Define your data (this could also be a JSON payload)
    data = {

        "input": {
                "prompt": message_log,
                "max_new_tokens": 4500,
                "temperature": 0.7,
                "top_k": 50,
                "top_p": 0.9,
                "repetition_penalty": 1.2,
                "batch_size": 8,
                "stop": ["</s>"]
            }
    }
   
    


    # Send the POST request with headers and data
    call = requests.post(url, headers=headers, json=data)
    response_data = call.json()
    msg_id = response_data['id']
    print("Message ID:", msg_id)
    output = "Output not available"
    # Poll the API until the response is ready
    while True:
        # Get the status using the message ID
        response = requests.get(f"https://api.runpod.ai/v2/{serverless_api_id}/status/{msg_id}", headers=headers)

        if response.status_code == 200:
            response_data = response.json()
            status = response_data.get('status')

            if status == 'COMPLETED':
                # Access the 'output' directly from the response
                output = response_data.get('output', 'Output not available')
                print("Response content:", output)
                break  # Exit the loop once the response is ready
            elif status == 'FAILED':
                error_message = response_data.get('error', 'Unknown error')
                print("Request failed. Reason:", error_message)
                break  # Exit the loop if the request failed
        else:
            print("Failed to get status. HTTP status code:", response.status_code)

        # Wait for a short time before polling again (e.g., 2 seconds)
        time.sleep(2)
    
    return output



def Chat_call(chat,prompt):

    global last_used_id
    # Use the last used ID
    ID = last_used_id
    existing_user_doc = records.find_one({'ID': ID})
    if existing_user_doc:
        message_log = [{"role": "system", "content": f"{prompt}"},
        ]
        messages = existing_user_doc['message']
        if len(messages)>5:
            messages = messages[-5:]

        message_log.extend(messages)
        new_message = {"role": "user", "content": chat}
        message_log.append(new_message)
            

        response = LLM_call(message_log)

    else:
        new_user_doc = {
            'ID': ID,
            'message': []
        }
        records.insert_one(new_user_doc)
        response = "Hello"

    response = save(ID, response, chat)
    return response



with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    chatbot.ID = 10  # Initialize the ID attribute
    msg = gr.Textbox(label = "Chat")
    prompt = gr.Textbox(label ="Prompt")
    clear = gr.ClearButton([msg, chatbot,prompt])

    def respond(message, chat_history,prompt):
        bot_message = Chat_call(message,prompt)
        chat_history.append((message, bot_message))
        time.sleep(2)
        return "", chat_history,prompt

    msg.submit(respond, [msg, chatbot, prompt], [msg, chatbot, prompt])

    # Add an event listener to the Chatbot to update the ID when the button is clicked
    clear.click(lambda: clear_button_callback())



if __name__ == "__main__":
    demo.launch()