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image_to_text

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Soumen commited on Nov 5, 2022

Commit

d69593b

1 Parent(s): 04d8217

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -26,8 +26,8 @@ choice = st.sidebar.selectbox("Select Activty",activities)
 model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
 uploaded_photo = c2.file_uploader("Upload Image",type=['jpg','png','jpeg'], on_change=change_photo_state)
 feature_extractor = ViTFeatureExtractor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
-camera_photo = c2.camera_input("Take a photo", on_change=change_photo_state)
 tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
 if choice == 'Caption':
     #st.subheader("Detection")
     if st.session_state["photo"]=="done":

 model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
 uploaded_photo = c2.file_uploader("Upload Image",type=['jpg','png','jpeg'], on_change=change_photo_state)
 feature_extractor = ViTFeatureExtractor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
 tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
+camera_photo = c2.camera_input("Take a photo", on_change=change_photo_state)
 if choice == 'Caption':
     #st.subheader("Detection")
     if st.session_state["photo"]=="done":