OmPrakashSingh1704 commited on
Commit
bf24bdd
1 Parent(s): ffb922b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -13,7 +13,7 @@ import plotly.express as px
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  st.set_page_config(layout="wide")
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- @st.cache_resource(experimental_allow_widgets=True)
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  def login_huggingface(token):
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  login(token=token)
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@@ -34,7 +34,7 @@ mode = st.toggle(label="MART")
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  if 'ind' not in st.session_state:
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  st.session_state.ind = []
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- @st.cache_resource(experimental_allow_widgets=True,show_spinner=False)
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  def pygwalerapp(df):
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  return StreamlitRenderer(df)
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  def preprocess_text(text):
@@ -48,7 +48,7 @@ def get_recommendations(user_description, count_vectorizer, count_matrix):
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  cosine_similarities = cosine_similarity(user_vector, count_matrix).flatten()
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  similar_indices = cosine_similarities.argsort()[::-1]
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  return similar_indices
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- @st.cache_resource(experimental_allow_widgets=True,show_spinner=False)
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  def show_recipe(recipe):
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  with st.spinner("HANG TIGHT, RECIPE INCOMING..."):
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  name_and_dis = f'# {recipe["name"]}\n\n'
@@ -73,7 +73,7 @@ def show_recipe(recipe):
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  with col02:
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  cont = st.container(border=True, height=500)
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  cont.write(instructions)
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- @st.cache_resource(experimental_allow_widgets=True,show_spinner=False)
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  def cooking():
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  client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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@@ -312,7 +312,7 @@ def cooking():
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  st.empty()
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  if st.session_state.recipe_saved == True:
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  st.success("Recipe Saved!")
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- @st.cache_resource(experimental_allow_widgets=True,show_spinner=False)
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  def rsaved():
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  st.title("Saved Recipes")
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  def load_saved_recipes_from_pickle(directory_path):
@@ -356,7 +356,7 @@ def rsaved():
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  show_recipe(filtered_recipes[0])
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  else:
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  st.write("No recipe found.")
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- @st.cache_resource(experimental_allow_widgets=True,show_spinner=False)
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  def mart():
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  st.markdown("# :eyes: PEOPLE SEARCHING FOR...")
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  print(st.session_state.ind)
 
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  st.set_page_config(layout="wide")
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+ @st.cache_resource
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  def login_huggingface(token):
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  login(token=token)
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  if 'ind' not in st.session_state:
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  st.session_state.ind = []
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+ @st.cache_resource(show_spinner=False)
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  def pygwalerapp(df):
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  return StreamlitRenderer(df)
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  def preprocess_text(text):
 
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  cosine_similarities = cosine_similarity(user_vector, count_matrix).flatten()
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  similar_indices = cosine_similarities.argsort()[::-1]
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  return similar_indices
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+ @st.cache_resource(show_spinner=False)
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  def show_recipe(recipe):
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  with st.spinner("HANG TIGHT, RECIPE INCOMING..."):
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  name_and_dis = f'# {recipe["name"]}\n\n'
 
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  with col02:
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  cont = st.container(border=True, height=500)
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  cont.write(instructions)
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+ @st.cache_resource(show_spinner=False)
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  def cooking():
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  client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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  st.empty()
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  if st.session_state.recipe_saved == True:
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  st.success("Recipe Saved!")
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+ @st.cache_resource(show_spinner=False)
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  def rsaved():
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  st.title("Saved Recipes")
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  def load_saved_recipes_from_pickle(directory_path):
 
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  show_recipe(filtered_recipes[0])
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  else:
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  st.write("No recipe found.")
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+ @st.cache_resource(show_spinner=False)
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  def mart():
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  st.markdown("# :eyes: PEOPLE SEARCHING FOR...")
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  print(st.session_state.ind)