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| import gradio as gr | |
| def get_sentiment(input_text): | |
| return sentiment(input_text) | |
| import requests | |
| app = FastAPI() | |
| url = "https://sentiment-analysis9.p.rapidapi.com/sentiment" | |
| def call_sentiment_api(user_input): | |
| payload = [{ | |
| "id": "1", | |
| "language": "en", | |
| "text": user_input | |
| }] | |
| headers = { | |
| "content-type": "application/json", | |
| "Accept": "application/json", | |
| "X-RapidAPI-Key": "5cf8fcaf61msh613f010a34f3576p1953e5jsn110a1e6c667d", | |
| "X-RapidAPI-Host": "sentiment-analysis9.p.rapidapi.com" | |
| } | |
| response = requests.post(url, json=payload, headers=headers) | |
| return response.json() | |
| iface7 = gr.Interface(get_sentiment, inputs= "text", outputs= "text", title="Sentiment Analysis") | |
| iface7.launch(inline=False) |