Update app.py

app.py

@@ -65,11 +65,6 @@ import urllib.request
 import gradio as gr
 from gradio import inputs, outputs
 
-DATASET_REPO_URL = "https://huggingface.co/datasets/Seetha/Visualization/level2.json"
-DATASET_REPO_ID = "Seetha/Visualization/level2.json"
-DATA_FILENAME = "level2.json"
-DATA_FILE = os.path.join("level2", DATA_FILENAME)
-HF_TOKEN = os.environ.get("HF_TOKEN")
 
 def main():
 
@@ -480,44 +475,6 @@ def main():
       fi.write(dat)
       fi.truncate()
 
-  # dataset = load_dataset("Seetha/Visualization")
-  # st.write(dataset)
-  # with open(DATA_FILE,'w') as f:
-     # json.dump(json_data, f)
-      #repo.push_to_hub()
-  # Write JSON to file
-  #with open(DATA_FILE, 'w') as f: #w+
-  # with urllib.request.urlopen('https://huggingface.co/datasets/Seetha/visual_files/raw/main/level2.json') as response:
-  #     data = response.read()
-  
-  # # with open('level2.json','w') as f:
-  # #   st.write(f.read())
-  # #   #st.write(f.write(json.dump(json_data)))
-  # #   #f.write(json.dump(json_data))
-  # #   json.dump(json_data, f)
-  # with open('level2.json', "w+") as f:
-  #   # data = f.read()
-  #   # #st.write(data)
-  #   # f.seek(0)
-  #   st.write(str(json_data))
-  #   json.dump(json_data, f)
-
-  # def store_message():
-  #   with open(DATA_FILE, "w") as f:
-  #       json.dump(json_data, f)
-  #       commit_url = repo.push_to_hub()
-  #       st.write(commit_url)
-
-  #   #return generate_html()
-  #with gr.Blocks() as demo:
-  # iface = gr.Interface(
-  #   save_feedback() 
-  # )
-
-  # iface.launch()
-
-    #f.truncate()
-
   df_final1.to_csv('predictions.csv')
   csv_file = "predictions.csv"
   json_file = "detailedResults.json"
@@ -542,71 +499,6 @@ def main():
     #data = json.load(fi)
     fi.write(json_data)
 
-  # # overriding/appending to the gradio template
-  # SCRIPT = """
-  #     <script>
-  #     if (!window.hasBeenRun) {
-  #           window.hasBeenRun = true;
-  #           console.log("should only happen once");
-  #           document.querySelector("button.submit").click();
-  #        }
-  #     </script>
-  #    """
-  # with open(os.path.join(gr.networking.STATIC_TEMPLATE_LIB, "frontend", "index.html"), "a") as f:
-  #   f.write(SCRIPT)
-
-  try:
-    hf_hub_download(
-        repo_id=DATASET_REPO_ID,
-        filename=DATA_FILENAME,
-        cache_dir=DATA_DIRNAME,
-        force_filename=DATA_FILENAME
-    )
-  except:
-    st.write("file not found")
-
-  repo = Repository(
-      local_dir="level2", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
-  )
-
-  # def generate_html() -> str:
-  #   with open(DATA_FILE) as csvfile:
-  #       reader = json.dumps(json_data)
-  #       rows = []
-  #       for row in reader:
-  #           rows.append(row)
-  #       rows.reverse()
-  #       if len(rows) == 0:
-  #           return "no messages yet"
-  #       else:
-  #           html = "<div class='chatbot'>"
-  #           for row in rows:
-  #               html += "<div>"
-  #               html += f"<span>{row['name']}</span>"
-  #               html += f"<span class='message'>{row['message']}</span>"
-  #               html += "</div>"
-  #           html += "</div>"
-  #           return html
-
-  def store_message():
-    if name and message:
-        with open(DATA_FILE, "a") as csvfile:
-            writer = json.dumps(json_data)
-            commit_url = repo.push_to_hub()
-   # return generate_html()
-
-  iface = gr.Interface(
-    store_message,
-    "html",
-    css="""
-    .message {background-color:cornflowerblue;color:white; padding:4px;margin:4px;border-radius:4px; }
-    """,
-    title="Reading/writing to a HuggingFace dataset repo from Spaces",
-    description=f"This is a demo of how to do simple *shared data persistence* in a Gradio Space, backed by a dataset repo.",
-    article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL})",
-  )
-
-  iface.launch()
   def convert_df(df):
 
   #IMPORTANT: Cache the conversion to prevent computation on every rerun