Update app.py

app.py

@@ -2,38 +2,37 @@ import streamlit as st
 import plotly.graph_objs as go
 from main import CryptoCrew
 
-st.title("Crypto Analysis and Coaching")
+st.title("Crypto Analyst")
 
 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()  # 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.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.")
+        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)