Duplicate from AyushP/PolicyChatBot

Co-authored-by: Ayush Prajapati <AyushP@users.noreply.huggingface.co>

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README.md

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+---
+title: PolicyChatBot
+emoji: 🏃
+colorFrom: gray
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+duplicated_from: AyushP/PolicyChatBot
+---
+
+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 policyBot():
+    st.title("Welcome to OneInsurance ChatBot")
+
+    policy_doc_link = "https://www.hdfcergo.com/docs/default-source/downloads/policy-wordings/health/arogya-sanjeevani---a5-size---pw---hehi.pdf"
+    st.write("Ask any question about the Health Insurance you selected")
+
+    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()
+
+
+    user_question = st.text_input(
+        "Enter some text 👇",
+        label_visibility="visible",
+        disabled=False,
+        placeholder="Please Enter your question here",
+    )
+
+    question_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, user_question),
+                    temperature=0,
+                    max_tokens=260,
+                    top_p=1,
+                    frequency_penalty=0.5,
+                    presence_penalty=0,
+                    stop=["?"]
+    )
+    
+    user_answer = question_response.choices[0].text
+    st.write(f"Answer: {user_answer}")
+
+
+
+if __name__ == '__main__':
+    policyBot()