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import gradio as gr
import json
import requests
from transformers import pipeline
headers = {"Authorization": f"Bearer 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"}
API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-mnli"
#API_URL = "https://api-inference.huggingface.co/models/microsoft/DialoGPT-large"
#API_URL = "https://api-inference.huggingface.co/models/deepset/roberta-base-squad2"
#API_URL = "https://api-inference.huggingface.co/models/bert-large-uncased-whole-word-masking-finetuned-squad"
def query(payload):
#data = json.dumps(payload)
"""
data = {
"inputs": {
"past_user_inputs": ["Which movie is the best ?"],
"generated_responses": ["It's Die Hard for sure."],
"text": "Can you explain why ?",
},
}
"""
classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
data = {
"inputs": {
"question": payload,
#"context": "My name is Clara and I live in Berkeley."
},
}
response = requests.request("POST", API_URL, headers=headers, data=json.dumps(data))
response_txt = json.loads(response.content.decode("utf-8"))
print(response_txt)
return response_txt
iface = gr.Interface(fn=query, inputs="text", outputs="text")
iface.launch()
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