Create app.py

app.py

@@ -0,0 +1,41 @@
+import streamlit as st
+import requests
+
+st.title("OCR Extraction Client")
+
+st.write(
+    """
+    This app lets you upload a PDF or image file. The file is sent to a FastAPI endpoint for OCR extraction,
+    and then the extracted text is returned as a Markdown file.
+    """
+)
+
+uploaded_file = st.file_uploader("Upload a PDF or image file", type=["pdf", "png", "jpg", "jpeg", "webp"])
+
+if uploaded_file is not None:
+    st.info(f"Processing file: **{uploaded_file.name}**")
+    with st.spinner("Sending file to OCR service..."):
+        # Prepare the file payload.
+        files = {"file": (uploaded_file.name, uploaded_file, uploaded_file.type)}
+        
+        # Replace the URL below with your FastAPI endpoint URL.
+        api_url = "https://hammad712-urdu-ocr-app.hf.space/upload"
+        response = requests.post(api_url, files=files)
+    
+    if response.status_code == 200:
+        st.success("OCR extraction complete!")
+        
+        # Get the returned Markdown content.
+        md_content = response.content.decode("utf-8")
+        
+        st.markdown("### Extracted Markdown Text")
+        st.markdown(md_content)
+        
+        st.download_button(
+            label="Download Markdown File",
+            data=md_content,
+            file_name="output.md",
+            mime="text/markdown"
+        )
+    else:
+        st.error(f"Error: {response.status_code} {response.text}")