dominguezdaniel commited on
Commit
0a17934
·
verified ·
1 Parent(s): f8a5f68

Create app.py

Browse files
Files changed (1) hide show
  1. app.py +19 -0
app.py ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import gradio as gr
2
+ from transformers import pipeline
3
+
4
+ def predict(image):
5
+ model_id = "google/vit-base-patch16-224"
6
+ classifier = pipeline("image-classification", model=model_id)
7
+ predictions = classifier(image)
8
+ # Sort predictions based on confidence and select the top one
9
+ top_prediction = sorted(predictions, key=lambda x: x['score'], reverse=True)[0]
10
+ # Prepare a mockup tweet text
11
+ tweet_text = f"Predicted Label: {top_prediction['label']}, Confidence: {top_prediction['score']:.2f}"
12
+ return tweet_text
13
+
14
+ title = "Image Classifier to Tweet"
15
+ description = "This demo recognizes and classifies images using the 'google/vit-base-patch16-224' model and generates a mock tweet with the top prediction."
16
+ input_component = gr.Image(type="pil", label="Upload an image here")
17
+ output_component = gr.Textbox(label="Mock Tweet")
18
+
19
+ gr.Interface(fn=predict, inputs=input_component, outputs=output_component, title=title, description=description).launch()