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| # app.py (Streamlit frontend) | |
| import streamlit as st | |
| import requests | |
| from PyPDF2 import PdfReader | |
| import io | |
| API_URL = "http://localhost:5000/upload" | |
| def main(): | |
| st.title("Sentiment Analysis on Call Transcripts") | |
| uploaded_file = st.file_uploader("Upload your call transcript", type=["txt", "pdf"]) | |
| if uploaded_file: | |
| try: | |
| # Process the uploaded file | |
| if uploaded_file.name.endswith(".txt"): | |
| transcript = uploaded_file.read().decode('utf-8') | |
| elif uploaded_file.name.endswith(".pdf"): | |
| reader = PdfReader(uploaded_file) | |
| transcript = "" | |
| for page in reader.pages: | |
| transcript += page.extract_text() | |
| # Display the extracted text | |
| st.text_area("Uploaded Transcript", transcript, height=300) | |
| # Send the transcript for sentiment analysis | |
| if st.button("Analyze Sentiment"): | |
| with st.spinner("Analyzing sentiment..."): | |
| try: | |
| # Send the transcript directly as form data | |
| response = requests.post( | |
| API_URL, | |
| data={'transcript': transcript}, | |
| timeout=120 | |
| ) | |
| if response.status_code == 200: | |
| sentiment = response.json().get('sentiment', []) | |
| st.success("Analysis complete!") | |
| # Create a nice display for results | |
| st.subheader("Sentiment Results") | |
| for result in sentiment: | |
| score = result['score'] | |
| label = result['label'] | |
| # Create a progress bar for visualization | |
| st.write(f"{label}:") | |
| st.progress(score) | |
| st.write(f"Score: {score:.2f}") | |
| # Add interpretation | |
| if label == 'Overall Sentiment': | |
| if score > 0.6: | |
| st.info("📈 This text is predominantly positive") | |
| elif score < 0.4: | |
| st.info("📉 This text is predominantly negative") | |
| else: | |
| st.info("📊 This text is relatively neutral") | |
| elif label == 'Confidence': | |
| if score > 0.8: | |
| st.info("✨ High confidence in this analysis") | |
| elif score < 0.5: | |
| st.warning("⚠️ Take this analysis with a grain of salt") | |
| else: | |
| st.error(f"Error: {response.json().get('error', 'Unknown error')}") | |
| except requests.exceptions.ConnectionError: | |
| st.error("Could not connect to the server. Please make sure the Flask backend is running.") | |
| except requests.exceptions.Timeout: | |
| st.error("Request timed out. Please try again.") | |
| except Exception as e: | |
| st.error(f"An error occurred: {str(e)}") | |
| except Exception as e: | |
| st.error(f"Error processing file: {str(e)}") | |
| if __name__ == "__main__": | |
| main() | |