Create app.py

app.py

@@ -0,0 +1,59 @@
+import streamlit as st
+import requests
+import pandas as pd
+
+# ✅ Replace with your Hugging Face backend URL
+BACKEND_URL = "https://<your-huggingface-space-name>.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.")