Delete app.py

app.py

@@ -1,62 +0,0 @@
-import streamlit as st
-import requests
-import pandas as pd
-
-# ✅ Replace with your Hugging Face backend URL
-# ✅ Use the deployed backend Space URL
-BACKEND_URL = "https://manishkumaryadav-news-summarize.hf.space/analyze"
-
-
-
-st.title("📊 News Sentiment Analysis & TTS in Hindi")
-
-# Input field for company name
-company_name = st.text_input("Enter Company Name", "")
-
-if st.button("Analyze"):
-    if not company_name:
-        st.warning("⚠️ Please enter a company name.")
-    else:
-        st.info(f"🔍 Analyzing news for {company_name}...")
-
-        # Send request to Flask backend
-        response = requests.post(
-            BACKEND_URL,
-            json={"company_name": company_name}
-        )
-
-        if response.status_code == 200:
-            data = response.json()
-
-            st.success("✅ Analysis Complete!")
-
-            # ✅ Display Sentiment Summary
-            st.subheader("📊 Sentiment Summary")
-            st.json(data["sentiment_summary"])
-
-            # ✅ Display Articles
-            st.subheader("📰 Extracted Articles")
-            
-            df = pd.DataFrame(data["articles"])
-            
-            for _, article in df.iterrows():
-                st.markdown(f"### [{article['title']}]({article['url']})")
-                st.write(f"**Summary:** {article['summary']}")
-                st.write("---")
-
-            # ✅ Display Hindi TTS Audio
-            st.subheader("🔊 Hindi TTS Audio Output")
-
-            audio_file_url = f"{BACKEND_URL}/{data['audio_file']}"
-            
-            st.audio(audio_file_url, format="audio/mp3")
-
-            st.download_button(
-                label="⬇️ Download Hindi TTS Audio",
-                data=requests.get(audio_file_url).content,
-                file_name=f"{company_name}_TTS.mp3",
-                mime="audio/mpeg"
-            )
-            
-        else:
-            st.error("❌ Error analyzing news. Please try again.")