Update app.py

app.py

@@ -85,38 +85,44 @@ with tab4:
     st.header("Video Prompt")
     st.write("Information and controls related to the Scrum TruEra Assistants API.")
     
-    # Embedding YouTube video directly in the Streamlit interface
-    youtube_url = "https://www.youtube.com/watch?v=Uo0KjdDJr1c"
-    st.video(youtube_url)
-    
-    # Input for modifying the prompt
-    prompt = st.text_input("Enter your prompt:", 
-                           "list the top 4 job interview mistakes and how to improve")
-    
-    # Slider to adjust the number in the prompt
-    number = st.slider("Select the number of top mistakes:", min_value=1, max_value=10, value=4)
-    
-    # Update the prompt with the chosen number. Change the number "4" dynamically based on the slider input.
-    updated_prompt = prompt.replace("4", str(number))
-    
-    # Button to send the request
-    if st.button("Summarize Video"):
-        BASE_URL = "https://api.twelvelabs.io/v1.2"
-        api_key = "tlk_3CPMVGM0ZPTKNT2TKQ3Y62TA7ZY9"
-        data = {
-            "video_id": "6636cf7fd1cd5a287c957cf5",
-            "type": "summary",
-            "prompt": updated_prompt
-        }
-    
-        # Send the request
-        response = requests.post(f"{BASE_URL}/summarize", json=data, headers={"x-api-key": api_key})
+    # Creating two columns for layout
+    col1, col2 = st.columns(2)
+    
+    # Embedding YouTube video directly in the left column
+    with col1:
+        youtube_url = "https://www.youtube.com/watch?v=Uo0KjdDJr1c"
+        st.video(youtube_url)
+    
+    # Using the right column for prompt modification and response
+    with col2:
+        # Input for modifying the prompt
+        prompt = st.text_input("Enter your prompt:", 
+                               "list the top 4 job interview mistakes and how to improve")
         
-        # Check if the response is successful
-        if response.status_code == 200:
-            st.text_area("Summary:", response.json()['summary'], height=300)
-        else:
-            st.error("Failed to fetch summary: " + response.text)
+        # Slider to adjust the number in the prompt
+        number = st.slider("Select the number of top mistakes:", min_value=1, max_value=10, value=4)
+        
+        # Update the prompt with the chosen number
+        updated_prompt = prompt.replace("4", str(number))
+        
+        # Button to send the request
+        if st.button("Summarize Video"):
+            BASE_URL = "https://api.twelvelabs.io/v1.2"
+            api_key = "tlk_3CPMVGM0ZPTKNT2TKQ3Y62TA7ZY9"
+            data = {
+                "video_id": "6636cf7fd1cd5a287c957cf5",
+                "type": "summary",
+                "prompt": updated_prompt
+            }
+        
+            # Send the request
+            response = requests.post(f"{BASE_URL}/summarize", json=data, headers={"x-api-key": api_key})
+            
+            # Check if the response is successful
+            if response.status_code == 200:
+                st.text_area("Summary:", response.json()['summary'], height=300)
+            else:
+                st.error("Failed to fetch summary: " + response.text)
     
     # Run this script using the following command:
     # streamlit run your_script_name.py