Create huggingparser.py

whalecore/huggingparser.py

@@ -0,0 +1,36 @@
+from whale_core import parser, agents
+import gradio as gr
+
+print("🐋 Welcome to HuggingWhale.AI")
+print("Drop your chaos here and we'll pretend to make sense of it...\n")
+
+def process_file(uploaded_file):
+    try:
+        # Parse and embed the file
+        doc = parser.parse_file(uploaded_file.name)
+        chunks = parser.chunk_and_embed(doc)
+
+        # Load agent configs
+        agent_cfgs = agents.load_agents("agents/config.yaml")
+
+        # Run simulated agent conversations
+        responses = agents.run_agents_on_text(agent_cfgs, doc)
+
+        # Format response output
+        output = ""
+        for name, reply in responses.items():
+            output += f"\n🤖 {name} says:\n{reply}\n"
+
+        return output.strip()
+
+    except Exception as e:
+        return f"💥 Oops! Something went wrong:\n{str(e)}"
+
+# Launch Gradio GUI
+gr.Interface(
+    fn=process_file,
+    inputs=gr.File(label="📄 Upload your PDF or Text file"),
+    outputs=gr.Textbox(label="🧠 Agent Responses", lines=20),
+    title="HuggingWhale.AI",
+    description="Drop a chaotic file. Let our agents attempt to decode the madness."
+).launch()