|
|
| import gradio as gr |
| import requests |
| import os |
|
|
| API_URL1 = "https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment" |
| API_URL2 = "https://api-inference.huggingface.co/models/facebook/convnext-xlarge-384-22k-1k" |
| API_URL3 = "https://api-inference.huggingface.co/models/microsoft/trocr-base-handwritten" |
|
|
| bt = os.environ['HACKAITHONBEARERTOKEN'] |
| headers = {"Authorization": bt } |
|
|
| def query(mood, select_model, filepath): |
|
|
| print (select_model); |
| print (filepath); |
| |
| |
| if (select_model=="Sentiment"): |
| response = requests.post(API_URL1, headers=headers, json=mood) |
| elif (select_model=="WhatIsThat"): |
| data = open(filepath, 'rb' ).read() |
| response = requests.post(API_URL2, headers=headers, data=data) |
| else: |
| data = open(filepath, 'rb' ).read() |
| response = requests.post(API_URL3, headers=headers, data=data) |
| return str(response.json()) |
|
|
| def greet(mood,select_model,image): |
| output = query({"inputs":mood}, select_model, image) |
| print (str(output)) |
| return str(output) |
|
|
| iface = gr.Interface( |
| fn=greet, inputs=["text", gr.Radio(choices=["Sentiment", "WhatIsThat", "HandWriting"],value="Sentiment"),gr.Image(type="filepath")], outputs="text") |
| iface.launch() |
|
|
