app.py

import gradio as gr
import requests

API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-7b-instruct"
headers = {"Authorization": "Bearer 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"}

API_URL2 = "https://api-inference.huggingface.co/models/valhalla/longformer-base-4096-finetuned-squadv1"
headers2 = {"Authorization": "Bearer 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"}

def query(question):
    payload = {"question": "what is the context of "+question+" : "}
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()["answer"]

def query2(question, context):
    payload = {"question": question, "context": context}
    response = requests.post(API_URL2, headers=headers2, json=payload)
    return response.json()["answer"]

iface = gr.Interface(
    fn=query2,
    inputs=[gr.Textbox("question"), gr.Textbox("context")],
    outputs=gr.Textbox("answer"),
    title="AI Interface 2",
    description="Ask the AI model anything!",
)

iface2 = gr.Interface(
    fn=query,
    inputs=[gr.Textbox("question")],
    outputs=gr.Textbox("answer"),
    title="AI Interface",
    description="Ask the AI model anything!",
)

gr.launch_in_debugger([iface, iface2])