Duplicate from Rajagopal/try556a

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: csrd trying
+emoji: 🏆
+colorFrom: yellow
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.21.0
+app_file: app.py
+pinned: false
+duplicated_from: Rajagopal/try556a
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+from langchain import OpenAI, PromptTemplate, LLMChain
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.chains.mapreduce import MapReduceChain
+from langchain.prompts import PromptTemplate
+from langchain.chat_models import AzureChatOpenAI
+from langchain.chains.summarize import load_summarize_chain
+from langchain.chains import AnalyzeDocumentChain
+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
+
+
+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"]
+ 
+
+
+
+
+st.title("Wipro demo with azure cognitive 2 ")
+
+
+atemprature = st.slider('Fact vs Creative?', 0, 10, 1)
+atemprature = atemprature / 10.0
+
+
+yourquestion = st.text_input('Your Question', 'First identify the indicators required as per EFRAG Environmental document. List these indicators. For each of these indicators, find out how Wipro is performing.')
+st.write('Your input is ', yourquestion)
+
+
+
+
+
+if st.button("Ask Questions "):
+    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."},{"role":"user","content":yourquestion}],
+      temperature=atemprature,
+      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 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))

requirements.txt

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+openai
+langchain
+streamlit
+PyPDF2
+tiktoken
+pypdf
+chromadb