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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()
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