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import gradio as gr | |
from gradio_client import Client | |
access_token = "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" | |
# Function to call the Gradio API | |
def call_gradio_api(user_input): | |
client = Client("https://traversaal-internal-rag-faiss-gpt3-5.hf.space/", hf_token=access_token) | |
result = client.predict(user_input, api_name="/predict") | |
return result[0], result[1], result[2] | |
# Interface for the Gradio app | |
iface = gr.Interface( | |
fn=call_gradio_api, | |
inputs="text", | |
outputs = [gr.Textbox(placeholder="Augmented prompt"), | |
gr.Textbox(placeholder="Response"), | |
gr.Textbox(placeholder="Sources")], | |
layout="vertical", | |
title="CCL Playground", | |
description="Enter a query to get response using RAG" | |
) | |
# Launch the Gradio app | |
iface.launch() | |