Update app.py

app.py

@@ -11,28 +11,29 @@ if st.button("Analyze"):
         crypto_crew = CryptoCrew(crypto)
         result = crypto_crew.run()  # This now runs the synchronous wrapper method
 
-    # Display summary
-    st.subheader("Analysis Summary")
-    st.write(result["summary"])
-
-    # Visualize sentiment
-    st.subheader("Sentiment Analysis")
-    sentiment_data = result["sentiment"]
-    sentiment_categories = list(sentiment_data.keys())
-    sentiment_values = [1 if v == "Positive" else (-1 if v == "Negative" else 0) for v in sentiment_data.values()]
-    colors = ['red' if v < 0 else 'green' if v > 0 else 'gray' for v in sentiment_values]
-
-    fig = go.Figure(data=[go.Bar(
-        x=sentiment_categories,
-        y=sentiment_values,
-        marker_color=colors
-    )])
-
-    fig.update_layout(
-        title="Sentiment Analysis",
-        xaxis_title="Category",
-        yaxis_title="Sentiment (Negative to Positive)",
-        yaxis=dict(tickvals=[-1, 0, 1], ticktext=["Negative", "Neutral", "Positive"])
-    )
-
-    st.plotly_chart(fig)
+        # Display summary
+        st.subheader("Analysis Summary")
+        st.write(result["summary"])
+
+        # Visualize sentiment
+        st.subheader("Sentiment Analysis")
+        sentiment_data = result.get("sentiment", {})
+        sentiment_categories = list(sentiment_data.keys())
+        sentiment_values = [1 if v == "Positive" else (-1 if v == "Negative" else 0) for v in sentiment_data.values()]
+        colors = ['red' if v < 0 else 'green' if v > 0 else 'gray' for v in sentiment_values]
+
+        if sentiment_categories and sentiment_values:
+            fig = go.Figure(data=[go.Bar(
+                x=sentiment_categories,
+                y=sentiment_values,
+                marker_color=colors
+            )])
+            fig.update_layout(
+                title="Sentiment Analysis",
+                xaxis_title="Category",
+                yaxis_title="Sentiment (Negative to Positive)",
+                yaxis=dict(tickvals=[-1, 0, 1], ticktext=["Negative", "Neutral", "Positive"])
+            )
+            st.plotly_chart(fig)
+        else:
+            st.write("No sentiment data available.")