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streamlit_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
+col1, col2 = st.columns(2)
+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"
+    
+    with col1:
+        
+        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('D:\alegria\one insurance\source\assets\img\thank you.jpg')
+            st.image(image, caption='Please visit again!')
+            return
+
+        question_2 = "Select the Institution from where you want the Insurance"
+        options_2 = ["Select something","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)
+
+    with col2:
+        if selected_option_2 == "Bank of Baroda":
+            st.image('https://1000logos.net/wp-content/uploads/2021/06/Bank-of-Baroda-logo.png')
+        elif selected_option_2 == "State Bank of India(SBI)":
+            st.image('https://1000logos.net/wp-content/uploads/2018/03/SBI-Logo.png')
+        elif selected_option_2 == "HDFC Bank":
+            st.image('https://1000logos.net/wp-content/uploads/2021/06/HDFC-Bank-logo.png')
+        elif selected_option_2 == "LIC":
+            st.image('https://1000logos.net/wp-content/uploads/2021/08/LIC-Logo.png')
+
+        # Get comprehensive information about the selected bank
+        comprehensive_info = openai.Completion.create(
+            engine="text-davinci-003",
+            prompt=f"Please provide comprehensive information about {selected_option_2}",
+            max_tokens=250,
+            n=1,
+            stop=None,
+            temperature=0.5,
+        ).choices[0].text
+        st.write("Comprehensive information:")
+        st.write(comprehensive_info)
+
+    with col1:
+        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)
+    with col2:
+        c.execute('SELECT Policy_doc FROM BANK WHERE Policy_Name = "{}"'.format(selected_option_3))
+        policy_doc_link = c.fetchone()
+        # Get comprehensive information about the selected bank
+        info = openai.Completion.create(
+            engine="text-davinci-003",
+            prompt=f"Please provide comprehensive information about {selected_option_3}",
+            max_tokens=100,
+            n=1,
+            stop=None,
+            temperature=0.5,
+        ).choices[0].text
+        st.write("Information:")
+        st.write(info)
+    with col1:
+        st.write("Loading...")
+        # Add loading animation
+        bar = st.progress(0)
+        for i in range(100):
+            # Update the progress bar with each iteration
+            bar.progress(i + 1)
+        time.sleep(0.05)
+    
+        st.write("")  # add a newline after the loading bar
+        if selected_option_3 != None:
+            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)
+    with col2:
+        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()