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app.py

@@ -1,64 +1,125 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-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")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+from transformers import pipeline
+from sentence_transformers import SentenceTransformer
+import numpy as np
+import gradio as gr
 
-    messages.append({"role": "user", "content": message})
+# Load models
+intent_classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+model = SentenceTransformer('all-MiniLM-L6-v2')
 
-    response = ""
+# Intents list
+intents = [
+    "schedule appointment", "clinic hours", "insurance inquiry", "test results", 
+    "appointment cancellation", "prescription refill", "covid protocols", 
+    "update personal info", "services offered", "telehealth availability", "contact support"
+]
 
-    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
+# FAQ data and intents
+faq_data = {
+    "questions": [
+        "How do I schedule an appointment?", "Can I book an appointment online?", "What is the process to make a doctor's appointment?",
+        "What are your clinic hours?", "Are you open on weekends?", "When does the clinic open and close?",
+        "Do you accept my insurance?", "Which insurance plans do you accept?", "Can I use my insurance for treatment?",
+        "How can I get my test results?", "When will my lab results be ready?", "How do I access my blood test results?",
+        "How do I cancel or reschedule my appointment?", "Can I change my appointment time?", "What is the cancellation policy?",
+        "How do I refill my prescription?", "Can I get a refill for my medication online?", "What is the process to renew my prescription?",
+        "What COVID-19 protocols are in place?", "Do I need to wear a mask to my appointment?", "How is your clinic handling COVID-19 safety?",
+        "How do I update my personal information?", "Can I change my address or phone number online?", "Where do I update my contact details?",
+        "What services do you offer?", "Do you provide pediatric care?", "What types of medical services are available?",
+        "Are telehealth visits available?", "Can I book a virtual doctor visit?", "Do you offer video consultations?",
+        "How can I contact customer service?", "What is your support phone number?", "Who do I talk to for more help?"
+    ],
+    "answers": [
+        "You can schedule an appointment by calling our clinic or using our online booking system.",
+        "Yes, appointments can be booked online via our website or patient portal.",
+        "To make a doctor's appointment, call our front desk or use the online scheduler.",
+        "Our clinic is open Monday to Friday from 8 AM to 6 PM, and Saturdays from 9 AM to 1 PM.",
+        "Yes, we are open on Saturdays from 9 AM to 1 PM but closed on Sundays.",
+        "We open at 8 AM and close at 6 PM on weekdays.",
+        "We accept most major insurance providers. Please contact us to verify your coverage.",
+        "Our clinic accepts a variety of insurance plans including Aetna, Blue Cross, and United Healthcare.",
+        "Yes, your insurance can be used for most treatments at our clinic.",
+        "Test results are usually available within 3-5 business days and can be accessed through your patient portal.",
+        "Lab results are typically ready within 3-5 days after testing.",
+        "You can view your blood test results online through the patient portal.",
+        "To cancel or reschedule, please call us at least 24 hours before your appointment or use the patient portal.",
+        "You can change your appointment time by contacting our front desk.",
+        "Our cancellation policy requires 24-hour notice to avoid fees.",
+        "You can request prescription refills by contacting our pharmacy or through the patient portal.",
+        "Refills can be requested online via your patient account.",
+        "To renew your prescription, contact your doctor or use the online refill service.",
+        "We follow all recommended COVID-19 safety protocols, including mask mandates and social distancing.",
+        "Masks are required for all visitors during appointments.",
+        "Our clinic enforces strict COVID-19 guidelines to ensure patient safety.",
+        "You can update your personal information by logging into your patient account or contacting our front desk.",
+        "Changes to your address or phone number can be made online.",
+        "Please update your contact details through the patient portal or by calling us.",
+        "Our services include primary care, pediatrics, lab testing, immunizations, and wellness checkups.",
+        "Yes, we offer pediatric care as part of our services.",
+        "We provide a wide range of medical services including preventive care and diagnostics.",
+        "Telehealth visits are available for many of our services.",
+        "You can book a virtual doctor visit online through our patient portal.",
+        "Video consultations are offered for appropriate medical concerns.",
+        "You can contact customer service via phone at 1-800-123-4567 or email [email protected].",
+        "Our support phone number is 1-800-123-4567.",
+        "For more help, please contact our support team by phone or email."
+    ]
+}
 
-        response += token
-        yield response
+intent_tags = [
+    "schedule appointment", "schedule appointment", "schedule appointment",
+    "clinic hours", "clinic hours", "clinic hours",
+    "insurance inquiry", "insurance inquiry", "insurance inquiry",
+    "test results", "test results", "test results",
+    "appointment cancellation", "appointment cancellation", "appointment cancellation",
+    "prescription refill", "prescription refill", "prescription refill",
+    "covid protocols", "covid protocols", "covid protocols",
+    "update personal info", "update personal info", "update personal info",
+    "services offered", "services offered", "services offered",
+    "telehealth availability", "telehealth availability", "telehealth availability",
+    "contact support", "contact support", "contact support"
+]
 
+def chatbot_response(user_question, threshold_intent=0.2, threshold_faq=0.4):
+    user_embedding = model.encode([user_question], convert_to_tensor=True)
+    
+    # Intent prediction
+    intent_result = intent_classifier(user_question, candidate_labels=intents)
+    predicted_intent = intent_result['labels'][0]
+    intent_confidence = intent_result['scores'][0]
+    
+    if intent_confidence < threshold_intent:
+        return {"answer": "Sorry, I couldn't understand your question. Could you please rephrase?"}
+    
+    # Filter FAQ questions by predicted intent
+    filtered_faqs = [
+        (q, a) for q, a, intent_tag in zip(faq_data["questions"], faq_data["answers"], intent_tags)
+        if intent_tag == predicted_intent
+    ]
+    if not filtered_faqs:
+        return {"answer": "Sorry, I don't have an answer for that question yet."}
+    
+    # Encode filtered FAQ questions
+    faq_embeddings = model.encode([q for q, _ in filtered_faqs], convert_to_tensor=True)
+    
+    # Calculate cosine similarities
+    cosine_scores = (user_embedding @ faq_embeddings.T).cpu().numpy()[0]
+    max_idx = np.argmax(cosine_scores)
+    max_score = cosine_scores[max_idx]
+    
+    if max_score < threshold_faq:
+        return {"answer": "Sorry, I couldn't find a good match for your question."}
+    
+    return {"answer": filtered_faqs[max_idx][1]}
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-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)",
-        ),
-    ],
-)
+# Gradio Interface
+def respond(user_question):
+    response = chatbot_response(user_question)
+    return response["answer"]
 
+iface = gr.Interface(fn=respond, inputs="text", outputs="text", title="Healthcare Support Chatbot",
+                     description="Ask your questions related to appointments, test results, COVID protocols, telehealth, and more!")
 
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()

requirements.txt

@@ -1 +1,5 @@
-huggingface_hub==0.25.2
+transformers
+sentence-transformers
+gradio
+torch
+numpy