Update app.py

app.py

@@ -1,40 +1,40 @@
-import streamlit as st
-import plotly.graph_objs as go
-from main import CryptoCrew
-
-st.title("Crypto Analysis and Coaching")
-
-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"])
-        )
-        
+import streamlit as st
+import plotly.graph_objs as go
+from main import CryptoCrew
+
+st.title("Crypto Analysis and Coaching")
+
+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)