testing

test.py

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+import streamlit as st
+from transformers import pipline
+
+pipe = pipeline("image-to-text", model="Salesforce/blip2-opt-2.7b")
+
+
+
+def answer_question(image, question):
+    # Integrate your model logic here
+    answer = "This is where the answer will appear."
+    return answer
+
+st.title("Image Question Answering")
+
+# File uploader for the image
+image = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
+
+# Text input for the question
+question = st.text_input("Enter your question about the image:")
+
+if st.button("Get Answer"):
+    if image is not None and question:
+        # Display the image
+        st.image(image, use_column_width=True)
+        # Get and display the answer
+        answer = answer_question(image, question)
+        st.write(answer)
+    else:
+        st.write("Please upload an image and enter a question.")