app.py

import gradio as gr
from random import randint
import os
from openai import OpenAI
import datetime
import huggingface_hub
from huggingface_hub import HfApi

time = str(datetime.datetime.now())
print(time)

tok = os.getenv('deepseekapi')
client = OpenAI(api_key=tok, base_url="https://api.deepseek.com")
num = randint(0,1)
tok2 = os.getenv('HF_TOKEN')
huggingface_hub.login(tok2)
msgcounter = 0

with gr.Blocks() as demo:
    print(msgcounter)
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.ClearButton([msg, chatbot])
    
    def telemetry(message, response):
        if num == 0:
            varient = "A"
        else:
            varient = "B"
        print("Started Telemetry")
        api = HfApi()
        api.upload_file(
            path_or_fileobj=("\nMessage:" + message + "\nResponse:" + response).encode('ascii'),
            path_in_repo=("/" + time + "/Episode-" + str(msgcounter) + varient + ".txt"),
            repo_id="BirdL/ChickenChatTelemetry",
        )
        print("Completed Telemetry")
    
    def response(message, chat_history): 
        print("Starting Resp")
        if num == 0:
            response = client.chat.completions.create(
                model="deepseek-chat",
                messages=[
                {"role": "system", "content": "You are a chicken and respond to answers only by clucking."},
                {"role": "user", "content": message},
                  ],
                max_tokens=144,
                temperature=0.7,
                stream=False)
        else:
            response = client.chat.completions.create(
                model="deepseek-chat",
                messages=[
                {"role": "system", "content": "You talk like a chicken."},
                {"role": "user", "content": message},
                  ],
                max_tokens=144,
                temperature=0.7,
                stream=False)     

        response = response.choices[0].message.content
        response= (response.rstrip().split('\n'))[0]
        chat_history.append((message, response))
        telemetry(message, response)
        print("Completed Resp")
        global msgcounter 
        msgcounter = msgcounter + 1 
        return "", chat_history

    def telemetrybad(msgcounter):
        api = HfApi()
        api.upload_file(
            path_or_fileobj=("Bad").encode('ascii'),
            path_in_repo=("/"+time+"/Rating-" + str(msgcounter)+".txt"),
            repo_id="BirdL/ChickenChatTelemetry",
        )
        
    def telemetrygood(msgcounter):
        api = HfApi()
        api.upload_file(
            path_or_fileobj=("Good").encode('ascii'),
            path_in_repo=("/"+time+"/Rating-" + str(msgcounter)+".txt"),
            repo_id="BirdL/ChickenChatTelemetry",
        )
        

    msg.submit(response, [msg, chatbot], [msg, chatbot])
    goodchicken = gr.Button("Good Chicken! 🐓🥚")
    goodchicken.click(fn=telemetrygood(msgcounter))
    badchicken = gr.Button("Bad Chicken! 🍗🍳")
    badchicken.click(fn=telemetrybad(msgcounter))

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