Update app.py

app.py

@@ -17,21 +17,12 @@ import time
 image = Image.open('Wipro logo.png')
 st.image(image)
 
-st.title("Wipro impact | The inquisitive sustainability leader:  Learn some of the best practices in sustainability from success stories of leading companies.. ")
+st.title("Wipro impact | The inquisitive sustainability leader")  
 
+st.header("Learn some of the best practices in sustainability from success stories of leading companies.. ")
 
-st.header("Welcome!. Today, What company's sustainability story is inspiring you ?.. ")
 
-
-myurl = st.text_input("Give the URL to find a sustainability or annual report", "https://www.wipro.com/content/dam/nexus/en/sustainability/sustainability_reports/wipro-sustainability-report-fy-2021-22.pdf")
-
-
-yourquestion = st.text_input('Ask your question on best practices', 'What is Wipro plans for Biodiversity in 2024?')
-st.write('Your input is ', yourquestion)
-
-aimethod = st.radio(
-    "Choose a AI brain",
-    ('GPT3', 'GPT3.5' ), index=1)
+st.subheader("Welcome!. Today, What company's sustainability story is inspiring you ?.. ")
 
 
 os.environ['OPENAI_API_TYPE'] = 'azure'
@@ -51,6 +42,8 @@ with st.form("my_form"):
    # Every form must have a submit button.
    submitted = st.form_submit_button("Ask question")
    if submitted:
+      st.write("AI is looking for the answer...It will take atleast 2 mintutes... Answers will appear below....")
+
       if myurl:
           index = None
           loader1 = PyPDFLoader(myurl)
@@ -65,7 +58,7 @@ with st.form("my_form"):
                   vectorstore_cls=Chroma
               ).from_loaders([loader1])
               
-          st.write("loaded")
+          st.write("indexed PDF...AI finding answer....please wait")