app.py

import gradio as gr
import os
from openai import OpenAI
import time

# Initialize the OpenAI Client
client = OpenAI(
    api_key=os.environ.get("RUNPOD_API_KEY"),
    base_url="https://api.runpod.ai/v2/vllm-k0g4c60zor9xuu/openai/v1",
)

def runpod_chat(question, history=None):
    if history is None:
        history = []  # Ensure history starts as an empty list if none is provided
    history.append({"role": "user", "content": question})

    response_stream = client.chat.completions.create(
        model="ambrosfitz/llama-3-history",
        messages=history,
        temperature=0,
        max_tokens=150,
        stream=True,
    )
    
    # Stream the response and accumulate full response before displaying
    full_response = "RunPod: "
    for message in response_stream:
        part = message.choices[0].delta.content if message.choices[0].delta.content is not None else ""
        full_response += part

    # Append the full response to history once complete
    history.append({"role": "assistant", "content": full_response})

    return full_response, history  # Return full response and updated history to maintain state

# Set up the Gradio interface
iface = gr.Interface(
    fn=runpod_chat,
    inputs=[
        gr.Textbox(label="Enter your question:"),
        gr.State()  # Remove default parameter
    ],
    outputs=[
        gr.Textbox(label="Responses"),
        gr.State()
    ],
    title="RunPod Chat",
    description="This app interfaces with RunPod's API to provide responses to your queries."
)

iface.launch()