Delete app.py

app.py

@@ -1,76 +0,0 @@
-import streamlit as st
-import pandas as pd
-from transformers import pipeline, AutoTokenizer
-import base64
-
-# Load the EasyTerms/legalSummerizerET model from Hugging Face
-summarizer = pipeline("summarization", model="EasyTerms/legalSummerizerET")
-
-# Increase the maximum token limit
-tokenizer = AutoTokenizer.from_pretrained("EasyTerms/legalSummerizerET")
-summarizer.model.config.max_position_embeddings = tokenizer.model_max_length
-
-# Function to generate summary using the EasyTerms/legalSummerizerET model
-def generate_summary(contract_text):
-    summary = summarizer(contract_text, max_length=512, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True)
-    return summary[0]['summary_text']
-
-# Function to handle feedback and store it in a CSV file
-def handle_feedback(feedback_data, feedback_file):
-    feedback_df = pd.DataFrame(feedback_data, columns=['Contract', 'Summary', '👍', '👎'])
-
-    # Save the dataframe to the feedback CSV file
-    feedback_df.to_csv(feedback_file, mode='a', index=False, header=not st.session_state.feedback_csv_exists)
-
-    # Display a feedback collected message
-    st.success("Feedback collected successfully!")
-
-    # Display a download button for the user
-    download_button = st.button("Download Feedback CSV")
-
-    # If the download button is clicked, initiate the download
-    if download_button:
-        st.markdown(get_binary_file_downloader_html(feedback_file, 'Feedback Data'), unsafe_allow_html=True)
-
-# Function to create a download link for a binary file
-def get_binary_file_downloader_html(file_path, file_label):
-    with open(file_path, 'rb') as file:
-        file_content = file.read()
-    b64 = base64.b64encode(file_content).decode()
-    return f'<a href="data:file/csv;base64,{b64}" download="{file_label}.csv">Click here to download {file_label}</a>'
-
-# Main Streamlit app
-def main():
-    st.title("Legal Contract Summarizer with Feedback")
-
-    # Input area for legal contract
-    contract_text = st.text_area("Enter the legal contract:", height=200)  # Increase the height to handle larger contracts
-
-    # Button to generate summary
-    if st.button("Generate Summary"):
-        summary = generate_summary(contract_text)
-        st.subheader("Generated Summary:")
-        st.write(summary)
-
-        # Feedback section
-        st.subheader("Feedback:")
-        thumbs_up = st.button("👍")
-        thumbs_down = st.button("👎")
-
-        chosen = "👍" if thumbs_up else None
-        rejected = "👎" if thumbs_down else None
-
-        feedback_data.append((contract_text, summary, chosen, rejected))
-
-        # Handle feedback data
-        if feedback_data:
-            feedback_file = 'feedback.csv'
-            st.session_state.feedback_csv_exists = True
-            handle_feedback(feedback_data, feedback_file)
-
-# Initialize feedback data
-feedback_data = []
-
-# Run the app
-if __name__ == "__main__":
-    main()