Update app.py

app.py

@@ -49,28 +49,6 @@ def response_generate(text,query):
     qa = RetrievalQA.from_chain_type(llm = GoogleGenerativeAI(model="gemini-pro", google_api_key=GOOGLE_API_KEY ), chain_type='stuff', retriever=retriever)
     return qa.run(query_text)
 
-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, google_api_key=GOOGLE_API_KEY)
-    prompt = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
-    chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
-    return chain
-
-def user_call(query):
-    embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
-    db3 = Chroma(persist_directory="./chroma_db", embedding_function=embeddings)
-    docs = db3.similarity_search(query)
-    chain = get_conversational_chain()
-    response = chain({"input_documents": docs, "question": query}, return_only_outputs=True)
-    #st.write("Reply: ", response["output_text"])
-
 def main():
     st.header("Chat with your pdf💁")