Update app.py

app.py

@@ -1,4 +1,47 @@
 import streamlit as st
+from PIL import Image
+import requests
+from io import BytesIO
+# Importing Hugging Face Spaces components
+from huggingface_hub import hf_spaces
 
-text = st.text_area("Enter text!")
+# Load the image question answering model
+model_name = "deepset/roberta-base-squad2"
+hf_spaces.use_model(model_name)
 
+# Function to perform image question answering
+@st.cache(allow_output_mutation=True)
+def perform_image_qa(image, question):
+    inputs = {"image": image, "question": question}
+    response = hf_spaces.use_model(model_name, inputs)
+    return response['answer']
+
+def main():
+    st.title("Image Question Answering App")
+    st.write("Upload an image and ask a question to get answers!")
+
+    # File uploader for image
+    uploaded_image = st.file_uploader("Upload Image", type=["jpg", "jpeg", "png"])
+
+    if uploaded_image is not None:
+        image = Image.open(uploaded_image)
+        st.image(image, caption="Uploaded Image", use_column_width=True)
+
+        # Ask question
+        question = st.text_input("Ask your question here:")
+
+        if st.button("Get Answer"):
+            if question:
+                # Convert image to bytes
+                img_bytes = BytesIO()
+                image.save(img_bytes, format='PNG')
+                img_bytes = img_bytes.getvalue()
+
+                # Perform image question answering
+                answer = perform_image_qa(img_bytes, question)
+                st.success("Answer: " + answer)
+            else:
+                st.warning("Please enter a question.")
+
+if __name__ == "__main__":
+    main()