Update app.py

app.py

@@ -27,14 +27,16 @@ openai.api_key = os.environ["OPENAI_API_KEY"]
  
 
 
+image = Image.open('Wipro logo.png')
+st.image(image)
 
+st.title("Ask anything on CSRD or Wipro sustainability report")
 
-st.title("Wipro demo with azure cognitive ")
+st.subheader("Type your question here ")
 
 
 
-
-yourquestion = st.text_input('Your topic', 'netzero')
+yourquestion = st.text_input('Your topic', 'What is Wipro doing on biodiversity?')
 st.write('Your input is ', yourquestion)
 
 
@@ -59,59 +61,8 @@ if st.button("Ask Questions "):
     st.write(response)
 
 
-if st.button("Ask Questions Simplify "):
-    template = """
-    You are an AI assistant. 
-    {concept}
-    """
-
-    response = openai.ChatCompletion.create(
-      engine="gpt-35-turbo",
-      messages = [{"role":"system","content":"You are an AI assistant that helps people find information. Please explain the information like i am a five."},{"role":"user","content":yourquestion}],
-      temperature=0,
-      max_tokens=800,
-      top_p=1,
-      frequency_penalty=0,
-      presence_penalty=0,
-      stop=None)
-
-    # Run the chain only specifying the input variable.
-    st.write(response)
-
-if st.button("Ask trying here "):
-    template = """
-    You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. 
-    Explain the concept of {concept}  like i am a five 
-    """
-
-    prompt = PromptTemplate(
-        input_variables=["concept"],
-        template=template,
-    )
 
 
-    from langchain.chains import LLMChain
-    chain = LLMChain(llm=llm, prompt=prompt)
-
-    # Run the chain only specifying the input variable.
-    st.write(chain.run(yourquestion))
 
 
 
-if st.button("Ask Hindi "):
-    template = """
-    You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. 
-    Explain the concept of {concept} in Hindi
-    """
-
-    prompt = PromptTemplate(
-        input_variables=["concept"],
-        template=template,
-    )
-
-
-    from langchain.chains import LLMChain
-    chain = LLMChain(llm=llm, prompt=prompt)
-
-    # Run the chain only specifying the input variable.
-    st.write(chain.run(yourquestion))