Update app.py

app.py

@@ -4,37 +4,7 @@ import requests
 # Streamlit interface setup
 st.title('Video Summary Interface')
 
-# 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
-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
 
 # Creating tabs, 
 tab1, tab2, tab3, tab4, tab5 = st.tabs(["Project Description", "Video Uploader", "Video Indexer", "Video Prompt", "Unique Value Add"])
@@ -73,7 +43,40 @@ with tab3:
 with tab4:
     st.header("Video Prompt")
     st.write("Information and controls related to the Scrum TruEra Assistants API.")
-    # Integration and API controls could be managed here
+
+    # 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
+    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
+    
+        
 
 with tab5:
     st.header("Unique Value Add")