Update app.py

app.py

@@ -1,13 +1,37 @@
+import streamlit as st
 import requests
 
-# Variables
-BASE_URL = "https://api.twelvelabs.io/v1.2"
-api_key = "tlk_3CPMVGM0ZPTKNT2TKQ3Y62TA7ZY9"
-data = {
-    "video_id": "6636cf7fd1cd5a287c957cf5",
-    "type": "summary",
-    "prompt": "list the top 4 job interview mistakes and how to improve"
-}
-
-# Send request
-response = requests.post(f"{BASE_URL}/summarize", json=data, headers={"x-api-key": api_key})
+# 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