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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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"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
API_URL2 = "https://api-inference.huggingface.co/models/valhalla/longformer-base-4096-finetuned-squadv1"
headers2 = {"Authorization": "Bearer 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"}
def query2(payload):
response = requests.post(API_URL2, headers=headers2, json=payload)
return response.json()
def detect_context_from_question(question_textbox, context_textbox):
question = question_textbox.value
output = query({
"inputs": f"context for '{question}' is:",
})
context_textbox.value = output['context']
def ask_question(question, context):
output2 = query2({
"inputs": {
"question": question,
"context": context
},
})
return output2
iface = gr.Interface(
fn=ask_question,
inputs=[
gr.Textbox("Enter your question", type="text", name="a"),
gr.Textbox("Enter context", type="text", name="b"),
gr.Button(detect_context_from_question, text="Detect Context", name="detect_button"),
gr.Button("Ask", name="ask_button")
],
outputs=gr.Textbox("Output", type="text", name="b"), # Show context in the same Textbox as input
live=True
)
iface.launch()
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