Create app.py

app.py

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+import streamlit as st
+import streamlit.components.v1 as components
+ 
+# Define the Hugging Face spaces URLs
+urls = {
+    "DRAW : Text 2 Img": "https://ehristoforu-dalle-3-xl-lora-v2.hf.space/",
+    "RAG : PDF Assistant": "https://cvachet-pdf-chatbot.hf.space/",
+    "CONVO 4 : AI Chat": "https://ngebodh-simplechatbot.hf.space/",
+    "Parler : Voice Chat": "https://parler-tts-parler-tts-mini.hf.space/"
+}
+
+# Title of the app
+st.title("ANTI-GPT 🤖")
+st.header("AI Multi-Modal Hub")
+st.markdown("---")
+
+# Instructions for users
+st.markdown("Select a task below to start interacting with the respective model.")
+
+# Define a single row layout with Streamlit columns
+cols = st.columns(len(urls))  # Create columns for each option
+
+# Display each task with a button
+for i, (task, url) in enumerate(urls.items()):
+    with cols[i]:
+        if st.button(task, key=task):
+            st.session_state.selected_task = task
+
+# Check if a task has been selected
+if "selected_task" in st.session_state:
+    task = st.session_state.selected_task
+    st.subheader(f"{task}")
+    st.markdown("---")
+
+    # Embed the Hugging Face space in an iframe with maximum dimensions
+    components.html(
+        f'''
+            <iframe src="{urls[task]}" 
+                    style="position:fixed; top:0; left:0; width:100%; height:100%; border:none; margin:0; padding:0; overflow:hidden; z-index:999999;">
+            </iframe>
+            ''',
+        height=800,  # This height is for the Streamlit container; the iframe will take the full window height
+        scrolling=True
+    )
+
+    # Footer
+    st.markdown("---")
+    st.write("Integrated by Gokulnath, An Open-Source contribution and integration :)")