Spaces:
Runtime error
Runtime error
File size: 2,022 Bytes
f782c07 61febee f782c07 61febee d2a5637 6612259 d2a5637 61febee d2a5637 61febee d2a5637 1619dde 6612259 d2a5637 61febee d2a5637 61febee d2a5637 61febee d2a5637 fc3da96 2613527 2f2bff4 2613527 2f2bff4 2613527 d2a5637 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
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()
class State:
question = ""
context = ""
answer = ""
state = State()
def detect_context_from_question():
state.question = detect_context_from_question.interface.inputs[0].value
output = query({
"inputs": f"context for '{state.question}' is:",
})
detect_context_from_question.interface.inputs[1].value = output # Update the value of the context Textbox
def ask_question():
state.question = ask_question.interface.inputs[0].value
state.context = ask_question.interface.inputs[1].value
output2 = query2({
"inputs": {
"question": state.question,
"context": state.context
},
})
ask_question.interface.outputs[0].value = output2 # Update the value of the answer Textbox
iface_detect = gr.Interface(
fn=detect_context_from_question,
inputs=[
gr.Textbox(type="text", placeholder="Enter your question"),
gr.Textbox(type="text", placeholder="Enter context"),
gr.Button("Detect Context")
],
live=True
)
iface_ask = gr.Interface(
fn=ask_question,
inputs=[
gr.Textbox(type="text", placeholder="Enter your question"),
gr.Textbox(type="text", placeholder="Enter context"),
gr.Button("Ask")
],
outputs=gr.Textbox(type="text", placeholder="Answer"), # Single Textbox for the answer
live=True
)
iface_detect.launch()
iface_ask.launch()
|