Update app.py

app.py

@@ -1,43 +1,86 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import re
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+from sentence_transformers import SentenceTransformer
+from sentence_transformers.util import cos_sim
+
+
+codes = """001 - Vehicle Registration (New)
+002 - Vehicle Registration Renewal
+003 - Vehicle Ownership Transfer
+004 - Vehicle De-registration
+005 - Lost Registration Certificate Replacement
+006 - Address Change Update
+007 - Vehicle Data Correction
+008 - Ownership Name Correction
+009 - Vehicle Tax Payment
+010 - Late Payment Fee Processing
+011 - Vehicle Type/Specification Update
+012 - BBNKB (Transfer Fee of Vehicle Ownership)
+013 - STNK Issuance (Vehicle Registration Certificate)
+014 - STNK Renewal
+015 - Motor Vehicle Roadworthiness Inspection
+016 - Plate Number Renewal
+017 - Lost Plate Replacement
+018 - Vehicle Export Registration
+019 - Vehicle Import Registration
+020 - Fleet Vehicle Registration
+021 - Bulk Vehicle Registration Update
+022 - Vehicle Insurance Assistance
+023 - Vehicle Accident Reporting
+024 - Vehicle Usage Change Declaration (e.g., personal to commercial)
+025 - Legal Document Verification
+026 - Ownership Transfer for Inherited Vehicle
+027 - STNK Temporary Suspension
+028 - Proof of Ownership Document Update
+029 - Vehicle Ownership History Check
+030 - Vehicle Tax Recalculation Request
+031 - Tax Exemption Application (for special cases)
+032 - Deceased Owner’s Vehicle Ownership Transfer
+033 - Other/Undetected""".split("\n")
 
 
+model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
+
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    # messages = [{"role": "system", "content": system_message}]
+    pattern = r'\b([A-Z]{1,2})\s?(\d{4})\s?([A-Z]{3})\b'
+    matches = re.findall(pattern, message)
+
+    plate_numbers = ", ".join([f"{i}. " + " ".join(x) for i,x in enumerate(matches)])
+    
+    codes_emb = model.encode(codes)
+    text_emb = model.encode(query)
+    scores = cos_sim(codes_emb, text_emb)[:,0]
+
+    request_code = codes[scores.argmax()]
+
+    return "Request code number: " + request_code[:3] + "\nRequest detail: " + request_code[6:] + "\n Plate numbers: "
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    # for val in history:
+    #     if val[0]:
+    #         messages.append({"role": "user", "content": val[0]})
+    #     if val[1]:
+    #         messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
+    # messages.append({"role": "user", "content": message})
 
-    response = ""
+    # response = ""
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    # for message in client.chat_completion(
+    #     messages,
+    #     max_tokens=max_tokens,
+    #     stream=True,
+    #     temperature=temperature,
+    #     top_p=top_p,
+    # ):
+    #     token = message.choices[0].delta.content
 
-        response += token
-        yield response
+    #     response += token
+    #     yield response
 
 
 """
@@ -45,18 +88,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 """
 demo = gr.ChatInterface(
     respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
 )