Update app.py

app.py

@@ -401,53 +401,53 @@ company_name = st.text_input("Enter Company Name", "Tesla")
 model_provider = st.selectbox("Model Provider", options=["Ollama", "Groq"])
 
 if st.button("Fetch Sentiment Data"):
-    web_results = fetch_from_web(company_name)
-
-    if "sources" not in web_results:
-        return {"error": "No sources found."}
+    try:
+        web_results = fetch_from_web(company_name)
 
-    sentiment_output = [
-        analyze_sentiment(article, model_provider)
-        for article in web_results["sources"][:5]
-    ]
+        if "sources" not in web_results:
+            st.error("No sources found.")
+        else:
+            sentiment_output = [
+                analyze_sentiment(article, model_provider)
+                for article in web_results["sources"][:5]
+            ]
 
-    comparative_sentiment = generate_comparative_sentiment(sentiment_output)
+            comparative_sentiment = generate_comparative_sentiment(sentiment_output)
 
-    positive_summary, negative_summary, neutral_summary = get_summaries_by_sentiment(
-        sentiment_output
-    )
+            positive_summary, negative_summary, neutral_summary = get_summaries_by_sentiment(
+                sentiment_output
+            )
 
-    final_report = generate_final_report(
-        positive_summary,
-        negative_summary,
-        neutral_summary,
-        comparative_sentiment,
-        model_provider,
-    )
+            final_report = generate_final_report(
+                positive_summary,
+                negative_summary,
+                neutral_summary,
+                comparative_sentiment,
+                model_provider,
+            )
 
-    hindi_translation = translate(final_report, model_provider)
-    audio_path = text_to_speech(hindi_translation)
+            hindi_translation = translate(final_report, model_provider)
+            audio_path = text_to_speech(hindi_translation)
 
-    output_dict = {
-        "company_name": company_name,
-        "articles": sentiment_output,
-        "comparative_sentiment": comparative_sentiment,
-        "final_report": final_report,
-        "hindi_translation": hindi_translation,
-        "audio_url": audio_path,
-    }
+            output_dict = {
+                "company_name": company_name,
+                "articles": sentiment_output,
+                "comparative_sentiment": comparative_sentiment,
+                "final_report": final_report,
+                "hindi_translation": hindi_translation,
+                "audio_url": audio_path,
+            }
 
-    st.subheader("Company Name")
-    st.write(output_dict.get("company_name"))
+            st.subheader("Company Name")
+            st.write(output_dict.get("company_name"))
 
-    st.subheader("Final Report")
-    st.write(output_dict.get("final_report"))
+            st.subheader("Final Report")
+            st.write(output_dict.get("final_report"))
 
-    st.subheader("🔊 Audio Output")
-    audio_file = "output.mp3"
-        if audio_file:
-        st.audio(audio_file)
+            st.subheader("🔊 Audio Output")
+            audio_file = "output.mp3"
+            if audio_file:
+                st.audio(audio_file)
 
     except requests.exceptions.RequestException as e:
         st.error(f"Error fetching data: {e}")
-