Upload app.py

app.py

@@ -0,0 +1,87 @@
+# 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=10
+                        )
+
+                        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()
+
+
+
+