Spaces:
Runtime error
Runtime error
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from transformers import pipeline
|
| 3 |
+
|
| 4 |
+
# Load the VQA model
|
| 5 |
+
oracle = pipeline(model="dandelin/vilt-b32-finetuned-vqa")
|
| 6 |
+
|
| 7 |
+
# Define a function to use the model
|
| 8 |
+
def answer_question(image, question):
|
| 9 |
+
response = oracle(question=question, image=image)
|
| 10 |
+
return response[0]['answer']
|
| 11 |
+
|
| 12 |
+
# Import the specific input and output components directly
|
| 13 |
+
from gradio import Image, Textbox
|
| 14 |
+
|
| 15 |
+
# Create the Gradio interface
|
| 16 |
+
interface = gr.Interface(
|
| 17 |
+
fn=answer_question,
|
| 18 |
+
inputs=[Image(type="filepath"), Textbox()],
|
| 19 |
+
outputs=Textbox()
|
| 20 |
+
)
|
| 21 |
+
|
| 22 |
+
# Launch the app
|
| 23 |
+
interface.launch()
|