Update app.py

app.py

@@ -9,32 +9,30 @@ crypto = st.text_input("Enter the cryptocurrency you want to analyze:")
 if st.button("Analyze"):
     with st.spinner("Analyzing... This may take a few minutes."):
         crypto_crew = CryptoCrew(crypto)
-        result = crypto_crew.run()
-        
-        # 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)
+        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)