Update app.py

change api key location

app.py

@@ -77,7 +77,6 @@ def get_vectorstore(text_chunks):
         A FAISS vector store containing the embeddings of the text chunks.
 
     """
-    # embeddings = OpenAIEmbeddings()
     model = "BAAI/bge-base-en-v1.5"
     encode_kwargs = {
         "normalize_embeddings": True
@@ -106,7 +105,7 @@ def get_conversation_chain(vectorstore):
     """
     llm = HuggingFaceHub(
         repo_id="mistralai/Mistral-7B-Instruct-v0.1",
-        model_kwargs={"temperature": 0.5, "max_length": 512},
+        model_kwargs={"temperature": 0.5, "max_length": 1024},
     )
     # llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo-0613")
 
@@ -154,14 +153,6 @@ def main():
 
     st.write(css, unsafe_allow_html=True)
 
-    # set huggingface hub token in st.text_input widget
-    # then hide the input
-    huggingface_token = st.text_input("Enter your HuggingFace Hub token", type="password")
-    #openai_api_key = st.text_input("Enter your OpenAI API key", type="password")
-
-    # set this key as an environment variable
-    os.environ["HUGGINGFACEHUB_API_TOKEN"] = huggingface_token
-    #os.environ["OPENAI_API_KEY"] = openai_api_key
 
     if "conversation" not in st.session_state:
         st.session_state.conversation = None
@@ -174,6 +165,14 @@ def main():
         handle_userinput(user_question)
 
     with st.sidebar:
+        # set huggingface hub token in st.text_input widget
+        # then hide the input
+        huggingface_token = st.text_input("Enter your HuggingFace Hub token", type="password")
+        #openai_api_key = st.text_input("Enter your OpenAI API key", type="password")
+
+        # set this key as an environment variable
+        os.environ["HUGGINGFACEHUB_API_TOKEN"] = huggingface_token
+        #os.environ["OPENAI_API_KEY"] = openai_api_key
         st.subheader("Your documents")
         pdf_docs = st.file_uploader(
             "Upload your PDFs here and click on 'Process'", accept_multiple_files=True