From 9bf52ba28b3d938384e020b8c34ba6f36237c086 Mon Sep 17 00:00:00 2001
From: rajveer43 <rajveer.rathod1301@gmail.com>
Date: Thu, 28 Mar 2024 21:36:10 +0530
Subject: [PATCH 1/2] add genai module

---
 src/genai/conversation.py | 59 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 src/genai/conversation.py

diff --git a/src/genai/conversation.py b/src/genai/conversation.py
new file mode 100644
index 0000000..63a8492
--- /dev/null
+++ b/src/genai/conversation.py
@@ -0,0 +1,59 @@
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+import os
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
+import google.generativeai as genai
+from langchain.vectorstores import FAISS
+from langchain_google_genai import ChatGoogleGenerativeAI
+from langchain.chains.question_answering import load_qa_chain
+from langchain.prompts import PromptTemplate
+from dotenv import load_dotenv
+
+def get_text_chunks(text):
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=10000, chunk_overlap=1000)
+    chunks = text_splitter.split_text(text)
+    return chunks
+
+
+def get_vector_store(text_chunks):
+    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
+    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings)
+    vector_store.save_local("faiss_index")
+
+
+def get_conversational_chain():
+
+    prompt_template = """
+    Answer the question as detailed as possible from the provided context, make sure to provide all the details, if the answer is not in
+    provided context just say, "answer is not available in the context", don't provide the wrong answer\n\n
+    Context:\n {context}?\n
+    Question: \n{question}\n
+
+    Answer:
+    """
+
+    model = ChatGoogleGenerativeAI(model="gemini-pro",
+                             temperature=0.3)
+
+    prompt = PromptTemplate(template = prompt_template, input_variables = ["context", "question"])
+    chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
+
+    return chain
+
+
+
+def user_input(user_question):
+    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
+    
+    new_db = FAISS.load_local("faiss_index", embeddings)
+    docs = new_db.similarity_search(user_question)
+
+    chain = get_conversational_chain()
+
+    
+    response = chain(
+        {"input_documents":docs, "question": user_question}
+        , return_only_outputs=True)
+
+    print(response)
+    st.write("Reply: ", response["output_text"])
+

From dd26845851b0ace2fa37ac1d043f30e5f865c5bf Mon Sep 17 00:00:00 2001
From: rajveer43 <rajveer.rathod1301@gmail.com>
Date: Thu, 28 Mar 2024 21:43:37 +0530
Subject: [PATCH 2/2] set env key

---
 src/genai/conversation.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/src/genai/conversation.py b/src/genai/conversation.py
index 63a8492..c94661f 100644
--- a/src/genai/conversation.py
+++ b/src/genai/conversation.py
@@ -8,6 +8,10 @@
 from langchain.prompts import PromptTemplate
 from dotenv import load_dotenv
 
+load_dotenv()
+os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
 def get_text_chunks(text):
     text_splitter = RecursiveCharacterTextSplitter(chunk_size=10000, chunk_overlap=1000)
     chunks = text_splitter.split_text(text)