Create utilities.py

utilities.py

@@ -0,0 +1,21 @@
+def preprocess_features(data):
+    # Example of building a simple structured representation
+    text = (
+        f"Industry: {data.get('industry')}. "
+        f"Stage: {data.get('stage')}. "
+        f"Amount: {data.get('amount')} USD. "
+        f"Lead Score: {data.get('lead_score')}. "
+        f"{data.get('emails_last_7_days', 0)} emails in last 7 days. "
+        f"{data.get('meetings_last_30_days', 0)} meetings in last 30 days."
+    )
+    return {"text": text}
+
+def generate_recommendation(summarizer, data):
+    prompt = (
+        f"Generate a next action for a deal at stage {data['stage']} with "
+        f"{data['emails_last_7_days']} emails and {data['meetings_last_30_days']} meetings."
+    )
+    input_ids = summarizer.tokenizer(prompt, return_tensors="pt").input_ids
+    output_ids = summarizer.generate(input_ids, max_new_tokens=30)
+    summary = summarizer.tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    return summary