Duplicate from nikesh66/policyai

Co-authored-by: Nikesh Malik <[email protected]>

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README.md

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+---
+title: Policyai
+emoji: 🐢
+colorFrom: yellow
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+duplicated_from: nikesh66/policyai
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import openai
+import streamlit as st
+import sqlite3
+from PIL import Image
+import time
+
+openai.api_key = "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"
+
+# Database Connection
+
+conn = sqlite3.connect('bank.db')
+c = conn.cursor()
+
+
+def chatbot():
+    st.title("Welcome to OneInsurance")
+
+    policy_doc_link = "https://www.hdfcergo.com/docs/default-source/downloads/policy-wordings/health/arogya-sanjeevani---a5-size---pw---hehi.pdf"
+
+    question_1 = "Do you want health insurance?"
+    options_1 = ["Yes", "No"]
+
+    st.write(question_1)
+    selected_option_1 = st.selectbox("Please enter your option:", options_1)
+    if selected_option_1 == "No":
+        st.write("Thank you")
+        image = Image.open('thankyou.png')
+        st.image(image, caption='Please visit again!')
+        return
+
+    question_2 = "Select the Institution from where you want the Insurance"
+    options_2 = ["Bank of Baroda", "State Bank of India(SBI)", "HDFC Bank", "LIC"]
+
+    st.subheader(question_2)
+    selected_option_2 = st.selectbox("Please enter your option:", options_2)
+
+
+
+    c.execute('SELECT Policy_Name FROM BANK WHERE Bank_Name= "{}"'.format(selected_option_2))
+    options_3 = c.fetchall()
+
+        # st.write(options_3)
+    my_options = []
+    for row in options_3:
+        my_options.append(row[0])
+
+    st.subheader("Select the Policy Name")
+    selected_option_3 = st.selectbox("Please enter your option:", my_options)
+        
+    c.execute('SELECT Policy_doc FROM BANK WHERE Policy_Name = "{}"'.format(selected_option_3))
+    policy_doc_link = c.fetchone()
+
+        # st.write(policy_doc_link)
+    st.subheader("List of Questions")        
+    question_list= """ 
+
+            1. What is covered under the policy?
+            2. What are the policy exclusions?
+            3. What are the conditions to avail the benefits of the insurance policy?
+            4. What is the policy deductible and how does it work?
+            5. What is the policy's out-of-pocket maximum?
+            6. What is the policy's co-pay amount?
+            7. Is there a network of providers or can I see any doctor I choose?
+            8. Are pre-existing conditions covered under the policy?
+            9. What is the process for filing a claim?
+            10. What is the policy's premium and how often is it due?
+            11. How does the policy handle cost-sharing for prescription drugs?
+            12. Are there any limits on the number of visits or treatments for a particular condition?
+            13. Does the policy offer coverage for mental health services and rehabilitation? 
+            """
+
+    st.write(question_list)
+    def switch_question(argument):
+        switch = {
+                    1: "What is covered under the policy?",
+                    2: "What are the policy exclusions?",
+                    3: "What are the conditions to avail the benefits of the insurance policy?",
+                    4: "What is the policy deductible and how does it work?",
+                    5: "What is the policy's out-of-pocket maximum?",
+                    6: "What is the policy's co-pay amount?",
+                    7: "Is there a network of providers or can I see any doctor I choose?",
+                    8: "Are pre-existing conditions covered under the policy?",
+                    9: "What is the process for filing a claim?",
+                    10: "What is the policy's premium and how often is it due?",
+                    11: "How does the policy handle cost-sharing for prescription drugs?",
+                    12: "Are there any limits on the number of visits or treatments for a particular condition?",
+                    13: "Does the policy offer coverage for mental health services and rehabilitation?"
+            }
+        return switch.get(argument, "Invalid Input")
+
+    question_number = st.number_input("Please select a question number", min_value=1, max_value=13)
+    selected_question = switch_question(question_number)
+    response = "Sorry, I cannot answer that."
+
+    if selected_question != "Invalid Input":
+        response = openai.Completion.create(
+                    model="text-davinci-003",
+                    prompt="Read the following PDF Document\n\n{}\n\nAnswer the question based on the document provided\n{}".format(policy_doc_link, selected_question),
+                    temperature=0,
+                    max_tokens=250,
+                    top_p=1,
+                    frequency_penalty=0.5,
+                    presence_penalty=0,
+                    stop=["?"]
+        )
+
+
+        message = response.choices[0].text
+        st.write(f"Answer: {message}")
+    else:
+        st.write(response)
+
+    def fetch_data():
+    # connect to the database
+        conn1 = sqlite3.connect("life_insurer_data.db")
+
+    # create a cursor
+        cursor = conn1.cursor()
+
+    # fetch the data from the database
+        fetch_query = """
+        SELECT * FROM life_insurer_data;
+        """
+        cursor.execute(fetch_query)
+        data = cursor.fetchall()
+
+    # close the connection to the database
+        conn.close()
+
+        return data
+
+# display the data in a table
+    st.title("Life Insurer Data")
+    st.write("Data Scrapped from https://freefincal.com/irda-life-insurance-claim-settlement-ratio-2023/")
+    st.write("Data fetched from SQLite database")
+
+    life_insurers = [row[0] for row in fetch_data()]
+    selected_life_insurer = st.selectbox("Select a life insurer", life_insurers)
+
+    with st.spinner("Fetching data..."):
+        time.sleep(2)
+        for row in fetch_data():
+            if row[0] == selected_life_insurer:
+                st.write(f"Claim Settlement Ratio for {row[0]}: {row[1]}")
+
+if __name__ == '__main__':
+    chatbot()