Update app.py

app.py

@@ -10,7 +10,8 @@ from PyPDF2 import PdfReader
 from langchain.document_loaders import TextLoader
 from langchain.indexes import VectorstoreIndexCreator
 from langchain.document_loaders import PyPDFLoader
-
+import os
+import openai
 
 
 import os
@@ -19,15 +20,16 @@ import os
 os.environ["OPENAI_API_TYPE"] = "azure"
 os.environ["OPENAI_API_VERSION"] = "2023-03-15-preview"
 
+openai.api_type = "azure"
+openai.api_base = "https://embeddinguseopenai.openai.azure.com/"
+openai.api_version = "2023-03-15-preview"
+openai.api_key = os.environ["OPENAI_API_KEY"]
  
 
-llm = AzureChatOpenAI(
-    deployment_name="esujnand", model_name="gpt-35-turbo"
-)
 
 
 
-st.title("Wipro CSRD AI 1")
+st.title("Wipro ")
 
 # description text
 st.write("Step 1: Summary of your selected section of CSRD... Sections in this are enviormental  topic1, enviornamtal topic2 ")
@@ -100,20 +102,21 @@ if st.button("Ask Questions "):
     {concept}
     """
 
-    prompt = PromptTemplate(
-        input_variables=["concept"],
-        template=template,
-    )
-
-
-    from langchain.chains import LLMChain
-    chain = LLMChain(llm=llm, prompt=prompt)
+    response = openai.ChatCompletion.create(
+      engine="gpt-35-turbo",
+      messages = [{"role":"system","content":"You are an AI assistant that helps people find information."},{"role":"user","content":"what is social indicicators"}],
+      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(chain.run(yourquestion))
+    st.write(response)
 
 
-if st.button("Ask English "):
+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