Upload NLP_dispatcher.py

NLP_dispatcher.py

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+import gradio as gr
+
+# Define routing keywords for Extension Agents and Ag Lenders
+extension_keywords = {
+    "Jerry": ["depreciation", "tractor", "equipment", "machinery"],
+    "Amanda": ["enterprise", "budget", "revenue", "expenses"],
+    "James": ["partial budget", "compare", "replace", "cost saving"],
+    "Edward": ["balance sheet", "assets", "liabilities", "net worth"],
+    "Alessandra": ["income statement", "profit", "loss", "cash flow"]
+}
+
+lender_keywords = {
+    "Carlos": ["loan", "financing", "refinance", "repayment"],
+    "Warren": ["approval", "final plan", "executive", "capstone"]
+}
+
+# Match farm plan to best agent or lender
+def route_to_agent(farm_plan):
+    farm_plan_lower = farm_plan.lower()
+
+    for agent, keywords in extension_keywords.items():
+        for word in keywords:
+            if word in farm_plan_lower:
+                return f"📞 Connecting you to Extension Agent {agent}. They can help you with that topic and guide you through Extension resources."
+
+    for lender, keywords in lender_keywords.items():
+        for word in keywords:
+            if word in farm_plan_lower:
+                return f"🏦 Forwarding you to Loan Officer {lender} for project review and financial analysis."
+
+    return "🤖 Sorry, I couldn't match your plan to a specific agent or lender. Try using keywords like 'depreciation', 'income', or 'loan'."
+
+
+with gr.Blocks() as app:
+    gr.Markdown("""
+    # 🧭 AgLendGPT Directory: Extension Agents & Lenders
+    Submit your farm plan below. We’ll connect you to the right Extension agent for support, or to an Ag Credit officer for projects.
+    """)
+
+    farm_plan_input = gr.Textbox(label="Describe your farm plan", placeholder="e.g., I want to expand with new equipment and need help calculating depreciation.", lines=4)
+    submit_btn = gr.Button("📡 Connect Me")
+    response = gr.Textbox(label="Routing Result")
+
+    submit_btn.click(fn=route_to_agent, inputs=farm_plan_input, outputs=response)
+
+
+if __name__ == "__main__":
+    app.launch()