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apikey.py

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+import pinecone
+llmkey="AIzaSyAV7sHdMEaR0H_Oy-KNJOKZoJcjmvuRheM"
+def vec_db():
+    return pinecone.init(api_key='a95a55a1-a095-46df-93ae-0a84c865594f',environment='gcp-starter')

app.py

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+import streamlit as st
+import numpy as np
+from PIL import Image
+import os
+from sentence_transformers import SentenceTransformer
+from langchain.vectorstores import Pinecone
+import pinecone
+from apikey import llmkey, vec_db
+import os
+#from langchain.llms import OpenAI
+#from langchain.llms import GooglePalm
+import google.generativeai as genai
+
+
+def get_text(prompt): 
+    vec_db()
+    model = SentenceTransformer('all-MiniLM-L6-v2') 
+    input_em = model.encode(prompt).tolist()
+    index=pinecone.Index('krishnaai')
+    output=index.query(input_em,top_k=2,includeMetadata=True).to_dict()  
+    print(output['matches'][0]['metadata']['text']+output['matches'][1]['metadata']['text'])
+    return output['matches'][0]['metadata']['text']+output['matches'][1]['metadata']['text']
+    
+def get_LLMop(prompt):
+    os.environ["GEMINI_API_KEY"]=llmkey
+    gemini_api_key = os.environ["GEMINI_API_KEY"]
+    genai.configure(api_key = gemini_api_key)
+    #llm=GooglePalm()
+
+    model = genai.GenerativeModel('gemini-pro')
+    response = model.generate_content("Who is the GOAT in the Football?")
+
+    ans=model.generate_content([get_text(prompt)+'use these text if possible and guide me {prompt}. Answer me as you are Lord Krishna,answer should be should be very short,highly creative and with a simple English'])
+    return ans.text
+
+st.title("Krishna AI")
+
+image = Image.open('icon.png')
+image2 = Image.open('icon2.png')
+#message = st.chat_message(name='Krishna',avatar=image)
+with st.chat_message("Krishna",avatar=image):
+        st.markdown("Hey Bhakth,how can I help you")
+
+if "messages" not in st.session_state:
+    st.session_state.messages=[]
+for message in st.session_state.messages:
+    with st.chat_message(message['role']):
+        st.markdown(message['content'])
+prompt=st.chat_input('Ask me for moksha')
+if prompt:
+    with st.chat_message("user",avatar=image2):
+        st.markdown(prompt)
+    st.session_state.messages.append({"role":"user","content":prompt})
+    response=get_LLMop(prompt)
+    with st.chat_message("Krishna",avatar=image):
+        st.markdown(response)
+    st.session_state.messages.append({"role":"Krishna","content":response})

requirements.txt

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+pip==23.3
+langchain==0.0.311
+numpy==1.22.3
+Pillow==9.5.0
+sentence_transformers==2.2.2
+streamlit==1.27.0
+pinecone-client==2.2.4
+google-generativeai==0.3.2