first commit

app.py

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+import streamlit as st
+import streamlit.components.v1 as components
+from PIL import Image
+
+
+# Configure Streamlit page
+st.set_page_config(page_title="Caption Machine", page_icon="💥")
+
+
+# Force responsive layout for columns also on mobile
+st.write(
+    """<style>
+    [data-testid="column"] {
+        width: calc(50% - 1rem);
+        flex: 1 1 calc(50% - 1rem);
+        min-width: calc(50% - 1rem);
+    }
+    </style>""",
+    unsafe_allow_html=True,
+)
+
+# Render Streamlit page
+st.title("Image Captioner")
+st.markdown(
+    "This app generates Image Caption using OpenAI's [GPT-2](https://openai.com/research/better-language-models) and [CLIP](https://openai.com/research/clip) model."
+)
+
+# st.subheader("Model Architecture")
+
+# image = Image.open('model.png')
+
+# st.image(image, caption=None, width=500)
+
+upload_file = st.file_uploader("Upload an image:", type=['png','jpg','jpeg'])
+
+
+# Checking the Format of the page
+if upload_file is not None:
+    img = Image.open(upload_file)
+    st.image(img)
+    st.write("Image Uploaded Successfully")
+
+