oooo

app.py

@@ -1,22 +1,35 @@
-
 import gradio as gr
 import requests
 import os
 
-API_URL = "https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment"
+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(data):
-    response = requests.post(API_URL, headers=headers, json=data)
-    return "V2"+str(response.json())
+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(howareyoufeeling):
-    output = query({"inputs":howareyoufeeling})
+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"], outputs="text",  allow_flagging="never")
+  fn=greet, inputs=["text", gr.Radio(choices=["Sentiment", "WhatIsThat", "HandWriting"],value="Sentiment"),gr.Image(type="filepath")], outputs="text")
 iface.launch()

requirements.txt

@@ -0,0 +1,4 @@
+
+gradio==3.48.0
+requests
+fastai