adding pushing to hub

app.py

@@ -1,10 +1,23 @@
 import streamlit as st
-import gradio as gr
 import pandas as pd
-import os
+import os, csv
+from huggingface_hub import hf_hub_download, HfApi
 
 HF_TOKEN = os.getenv('HUGGING_FACE_HUB_TOKEN')
-hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "co2_submissions")
+api = HfApi()
+
+def write_to_csv(hardware, training_time, provider, carbon_intensity, dynamic_emissions):
+    with open('dynamic_emissions.csv','a', newline='') as f:
+        writer = csv.writer(f)
+        writer.writerow([hardware, training_time, provider, carbon_intensity, dynamic_emissions])
+    api.upload_file(
+        path_or_fileobj="dynamic_emissions.csv",
+        path_in_repo="dynamic_emissions.csv",
+        repo_id="sasha/co2_submissions",
+        repo_type="dataset",
+    )
+
+hf_hub_download(repo_id="sasha/co2_submissions", filename="dynamic_emissions.csv", repo_type="dataset")
 
 st.set_page_config(
     page_title="AI Carbon Calculator",
@@ -50,7 +63,7 @@ st.markdown('We will consider 3 aspects of your model: the dynamic emissions, id
 
 st.markdown('### Dynamic Emissions')
 with st.expander("Calculate the emissions produced by energy consumption of model training"):
-    with st.form(key='dynamic_emissions'):
+    with st.form(key='dynamic_emissions', clear_on_submit=True):
         col1, col2, col3, col4 = st.columns(4)
         with col1:
             hardware = st.selectbox('GPU used', TDP['name'].tolist())
@@ -78,9 +91,10 @@ with st.expander("Calculate the emissions produced by energy consumption of mode
         st.metric(label="Dynamic emissions", value=str(dynamic_emissions)+' kilograms of CO2eq')
         st.markdown('This is roughly equivalent to '+ str(round(dynamic_emissions/kg_per_mile,1)) + ' miles driven in an average US car'
             ' produced in 2021. [(Source: energy.gov)](https://www.energy.gov/eere/vehicles/articles/fotw-1223-january-31-2022-average-carbon-dioxide-emissions-2021-model-year)')
-        hf_writer.setup([hardware, training_time, provider, carbon_intensity, dynamic_emissions])
-        st.form_submit_button(label="Share my data", help="Submit the data from your model anonymously for research purposes!",
-        onclick=hf_writer.flag([hardware, training_time, provider, carbon_intensity, dynamic_emissions]))
+        st.form_submit_button(label="Share my data", help="Submit the data from your model anonymously for research purposes!",\
+        on_click = write_to_csv(hardware, training_time, provider, carbon_intensity, dynamic_emissions))
+
+