Upload 2 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+AGQS.json filter=lfs diff=lfs merge=lfs -text

AGQS.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaffb5587ab1a2860d28bba4b82042810b17b7a11486367e9e68f9b5ba912700
+size 873031923

AGQS.py

@@ -0,0 +1,40 @@
+import json
+import difflib
+
+class AGQS:
+    def __init__(self, filepath):
+        self.pairs = []
+        with open(filepath, "r") as f:
+            for line in f:
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    data = json.loads(line)
+                    conversation = data.get("conversation", [])
+                    for i in range(len(conversation) - 1):
+                        if conversation[i]["role"] == "user" and conversation[i + 1]["role"] == "assistant":
+                            question = conversation[i]["content"].strip()
+                            answer = conversation[i + 1]["content"].strip()
+                            self.pairs.append((question, answer))
+                except json.JSONDecodeError:
+                    continue
+        self.user_questions = [q for q, _ in self.pairs]
+
+    def ask(self, prompt):
+        closest_match = difflib.get_close_matches(prompt, self.user_questions, n=1, cutoff=0.3)
+        if closest_match:
+            match_index = self.user_questions.index(closest_match[0])
+            return self.pairs[match_index][1]
+        else:
+            return "Sorry, I don't have an answer for that."
+
+if __name__ == "__main__":
+    chatbot = AGQS("AGQS.json")
+    print("Chatbot ready. Type your message. Type 'exit' to quit.\n")
+    while True:
+        user_input = input("You: ").strip()
+        if user_input.lower() in {"exit", "quit"}:
+            break
+        response = chatbot.ask(user_input)
+        print("AI:", response)