Delete app.py

app.py

@@ -1,59 +0,0 @@
-import streamlit as st
-from transformers import pipeline, AutoTokenizer
-import base64
-
-# Load the GPT-2 text generation model from Hugging Face
-text_generator = pipeline("text-generation", model="Shruti9756/G24_Contract_Summarization_step3")
-
-# Increase the maximum token limit
-tokenizer = AutoTokenizer.from_pretrained("Shruti9756/G24_Contract_Summarization_step3")
-text_generator.model.config.max_position_embeddings = tokenizer.model_max_length
-
-# Function to generate text using the GPT-2 model
-def generate_text(prompt):
-    generated_text = text_generator(prompt, max_length=300, num_return_sequences=1, temperature=0.7)[0]['generated_text']
-    return generated_text
-
-# # Function to handle feedback and store it in a CSV file
-# def handle_feedback(feedback_data, feedback_file):
-#     # Your existing feedback handling logic remains the same
-
-# # Function to create a download link for a binary file
-# def get_binary_file_downloader_html(file_path, file_label):
-#     # Your existing file downloader logic remains the same
-
-# Main Streamlit app
-def main():
-    st.title("Text Generation with Feedback")
-
-    # Input area for prompt
-    prompt = st.text_area("Enter a prompt:", height=100)
-
-    # Button to generate text
-    if st.button("Generate Text"):
-        generated_text = generate_text(prompt)
-        st.subheader("Generated Text:")
-        st.write(generated_text)
-
-        # 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((prompt, generated_text, 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()