all working files

.gitignore

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+__pycache__/
+*.py[cod]
+*$py.class
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+.ipynb_checkpoints
+.DS_Store
+flagged/

README.md

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+# Image Cultural Analysis App
+
+A Gradio-powered app for creating dataset for cultural aspects of images in SE Asia.
+
+## Features
+
+- Upload images via upload button or webcam
+- Answer questions about the cultural relevance of the image
+- Provide location information (city and country)
+- Assess cultural relevance to South-East Asia
+- Add captions in native and English languages
+
+## Deployment
+
+This app is designed to be deployed to Hugging Face Spaces. To deploy:
+
+1. Create a new Space on Hugging Face: https://huggingface.co/new-space
+2. Select Gradio as the SDK
+3. Upload these files to the Space's repository
+4. The app will automatically deploy
+
+## Local Development
+
+To run this app locally:
+
+```bash
+pip install -r requirements.txt
+python app.py
+```
+
+## Structure
+
+- `app.py`: Main application code for the Gradio interface
+- `requirements.txt`: Dependencies required for the app
+- `README.md`: Documentation
+
+## License
+
+MIT

app.py

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+import gradio as gr
+
+def process_submission(input_img, text_answer, multiple_choice, city, country, se_asia_relevance, culture_knowledge, native_caption, english_caption):
+    # Just return the inputs to demonstrate they were received
+    # No ML pipeline processing here
+    return input_img, f"Your text response: {text_answer}", f"Your selected option: {multiple_choice}", f"Location: {city}, {country}", f"SE Asia relevance: {se_asia_relevance}", f"Cultural knowledge source: {culture_knowledge}", f"Native caption: {native_caption}", f"English caption: {english_caption}"
+
+gradio_app = gr.Interface(
+    process_submission,
+    inputs=[
+        gr.Image(label="Upload an image", sources=['upload', 'webcam'], type="pil"),
+        gr.Textbox(label="The image portrays culturally-relevant information in:", placeholder="what culture does this image represent?"),
+        # gr.Radio(choices=["North America", "South America", "Europe", "Africa", "Asia", "Australia"], 
+        #          label="Which continent is most represented in this image?"),
+        gr.Textbox(label="City where the image was taken:", placeholder="Enter city name"),
+        gr.Textbox(label="Country where the image was taken:", placeholder="Enter country name"),
+        gr.Radio(
+            choices=[
+                "Yes. Unique to South East",
+                "Yes, people will likely think of South East when seeing the picture, but it may have low degree of similarity to other cultures.",
+                "Maybe, this culture did not originate from South East, but it's quite dominant in South East",
+                "Not really. It has some affiliation to South East, but actually does not represent South East or has stronger affiliation to cultures outside South East",
+                "No. Totally unrelated to South East"
+            ],
+            label="Is the image culturally relevant in South-East Asia?"
+        ),
+        gr.Radio(
+            choices=[
+                "I'm from this country/culture",
+                "I checked online resources (e.g., Wikipedia, articles, blogs)"
+            ],
+            label="How do you know about this culture?",
+            info="Please do not consult LLMs (e.g., GPT-4o, Claude, Command-R, etc.)"
+        ),
+        gr.Textbox(label="Caption in Native Language:", placeholder="Enter caption in the native language of the culture depicted"),
+        gr.Textbox(label="English Caption:", placeholder="Enter caption in English")
+    ],
+    outputs=[
+        gr.Image(label="Submitted Image"),
+        gr.Text(label="Text Response"),
+        gr.Text(label="Multiple Choice Response"),
+        gr.Text(label="Location Information"),
+        gr.Text(label="South-East Asia Cultural Relevance"),
+        gr.Text(label="Cultural Knowledge Source"),
+        gr.Text(label="Native Language Caption"),
+        gr.Text(label="English Caption")
+    ],
+    title="Image Cultural Analysis",
+    description="Upload an image and answer questions about its cultural significance."
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()

requirements.txt

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+gradio==4.*
+Pillow>=9.0.0