app.py

import gradio as gr
import os
from tweet_analyzer import TweetDatasetProcessor
from dotenv import load_dotenv

load_dotenv()

class TwitterCloneApp:
    def __init__(self):
        self.processor = None
        
    def process_upload(self, file):
        """Process uploaded PDF file and analyze personality"""
        try:
            self.processor = TweetDatasetProcessor()
            text = self.processor.extract_text_from_pdf(file.name)
            df = self.processor.process_pdf_content(text)
            personality_analysis = self.processor.analyze_personality()
            
            return f"Processed {len(df)} tweets\n\nPersonality Analysis:\n{personality_analysis}"
        except Exception as e:
            return f"Error processing file: {str(e)}"
    
    def generate_tweet(self, context):
        """Generate a new tweet based on the analyzed personality"""
        if not self.processor:
            return "Please upload and analyze a dataset first."
        
        try:
            tweet = self.processor.generate_tweet(context)
            return tweet
        except Exception as e:
            return f"Error generating tweet: {str(e)}"
    
    def create_interface(self):
        """Create the Gradio interface"""
        with gr.Blocks(title="Twitter Personality Cloner") as interface:
            gr.Markdown("# Twitter Personality Cloner")
            gr.Markdown("Upload a PDF file containing tweets to analyze the author's personality and generate new tweets in their style.")
            
            with gr.Tab("Analyze Personality"):
                file_input = gr.File(label="Upload PDF Dataset", file_types=[".pdf"])
                analyze_button = gr.Button("Analyze Dataset")
                analysis_output = gr.Textbox(label="Analysis Results", lines=10)
                
                analyze_button.click(
                    fn=self.process_upload,
                    inputs=file_input,
                    outputs=analysis_output
                )
            
            with gr.Tab("Generate Tweets"):
                context_input = gr.Textbox(label="Context (optional)", placeholder="Enter topic or context for the tweet")
                generate_button = gr.Button("Generate Tweet")
                tweet_output = gr.Textbox(label="Generated Tweet")
                
                generate_button.click(
                    fn=self.generate_tweet,
                    inputs=context_input,
                    outputs=tweet_output
                )
        
        return interface

def main():
    app = TwitterCloneApp()
    interface = app.create_interface()
    interface.launch(share=True)

if __name__ == "__main__":
    main()