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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(payload):
payload2 = "whats the context of the question " + paylaod + " :"
response = requests.post(API_URL, headers=headers, json=payload2)
return response.json()["answer"]
def query2(q, c):
payload = {"question": q, "context": c}
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",
description="Ask the AI model anything!",
)
iface.launch() |