chore: import upstream snapshot with attribution

2026-07-13 12:18:10 +08:00
commit fbfefa28d3
384 changed files with 46941 additions and 0 deletions
@@ -0,0 +1,56 @@
+"""
+Basic example of scraping pipeline using SpeechSummaryGraph
+"""
+
+import os
+
+from dotenv import load_dotenv
+
+from scrapegraphai.graphs import SpeechGraph
+from scrapegraphai.utils import prettify_exec_info
+
+load_dotenv()
+
+# ************************************************
+# Define audio output path
+# ************************************************
+
+FILE_NAME = "website_summary.mp3"
+curr_dir = os.path.dirname(os.path.realpath(__file__))
+output_path = os.path.join(curr_dir, FILE_NAME)
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+openai_key = os.getenv("OPENAI_API_KEY")
+
+graph_config = {
+    "llm": {
+        "api_key": openai_key,
+        "model": "openai/gpt-4o",
+        "temperature": 0.7,
+    },
+    "tts_model": {"api_key": openai_key, "model": "tts-1", "voice": "alloy"},
+    "output_path": output_path,
+}
+
+# ************************************************
+# Create the SpeechGraph instance and run it
+# ************************************************
+
+speech_graph = SpeechGraph(
+    prompt="Make a detailed audio summary of the projects.",
+    source="https://perinim.github.io/projects/",
+    config=graph_config,
+)
+
+result = speech_graph.run()
+print(result)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = speech_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))