Update app.py

app.py

@@ -1,30 +1,37 @@
-import json
 import streamlit as st
-from scrapegraphai.graphs import SearchGraph
-
-st.title("AI Query Application")
+from scrapegraphai.graphs import SmartScraperGraph
+import json
 
-query_prompt = st.text_input("Enter your AI query", value="List me all the attributes of 'cannabis strain'.")
+# Setup the Streamlit interface
+st.title("Smart Scraper AI Interface")
+prompt = st.text_input("Enter your query", value="List me all the articles")
+source_url = st.text_input("Enter the source URL", value="https://perinim.github.io/projects")
 
-if st.button("Fetch Data from AI"):
-    # Define the configuration for the graph based on user input
+if st.button("Fetch Data"):
+    # Access API keys securely (ensure you've set this in Hugging Face Secrets)
+    OPENAI_API_KEY = st.secrets["OPENAI_API_KEY"]
+    
+    # Define the configuration for the SmartScraperGraph
     graph_config = {
         "llm": {
-            "api_key": st.secrets["OPENAI_API_KEY"],
+            "api_key": OPENAI_API_KEY,
             "model": "gpt-3.5-turbo",
-            "temperature": 0,
         },
     }
 
-    # Create the SearchGraph instance dynamically
-    search_graph = SearchGraph(prompt=query_prompt, config=graph_config)
+    # Create the SmartScraperGraph instance dynamically
+    smart_scraper_graph = SmartScraperGraph(
+        prompt=prompt,
+        source=source_url,
+        config=graph_config
+    )
 
     try:
         # Run the graph to fetch results
-        result = search_graph.run()
+        result = smart_scraper_graph.run()
         # Convert the result to a JSON string with indentation for better readability
         output = json.dumps(result, indent=2)
         # Display each line of the JSON output
         st.text_area("Result", value=output, height=300)
     except Exception as e:
-        st.error(f"An error occurred: {e}")
+        st.error(f"An error occurred: {e}")