Revert "Ui improvements"

This reverts commit 3d1de250d3917c06a64472d81101a7c1ecbb55ae.

app.py

@@ -396,104 +396,39 @@ def analyze_asset_sentiment(asset_input):
             None
         )
         
-# Update the Gradio interface with dark theme and improved UI
-custom_theme = gr.themes.Default(
-    primary_hue="emerald",
-    secondary_hue="emerald",
-    neutral_hue="slate",
-    font=[gr.themes.GoogleFont("Inter")],
-).set(
-    body_background_fill='*neutral_950',
-    button_primary_background_fill='linear-gradient(90deg, #059669 0%, #10b981 100%)',
-    button_primary_text_color='white',
-    block_background_fill='*neutral_900',
-    block_label_text_color='*primary_300',
-    block_title_text_color='*primary_300',
-    input_background_fill='*neutral_800',
-)
-
-with gr.Blocks(theme=custom_theme, css="footer {visibility: hidden}") as iface:
-    gr.Markdown("""
-    # 📈 Advanced Trading Analytics Suite
-    *AI-powered market analysis with real-time sentiment and technical indicators*
-    """)
+# Update the Gradio interface (change the output component type)
+with gr.Blocks(theme=gr.themes.Default()) as iface:
+    gr.Markdown("# Advanced Trading Analytics Suite")
     
-    with gr.Row(variant="panel"):
-        with gr.Column(scale=3):
-            input_asset = gr.Textbox(
-                label="🔍 Search Asset",
-                placeholder="Enter stock name or symbol (e.g., Apple or AAPL)...",
-                max_lines=1,
-                container=False
-            )
-        with gr.Column(scale=1):
-            analyze_btn = gr.Button("Analyze Now →", variant="primary", size="lg")
+    with gr.Row():
+        input_asset = gr.Textbox(
+            label="Asset Name/Ticker",
+            placeholder="Enter stock name or symbol...",
+            max_lines=1
+        )
+        analyze_btn = gr.Button("Analyze", variant="primary")
     
-    with gr.Tabs(selected=0):
-        with gr.TabItem("📰 News Sentiment", id=1):
-            gr.Markdown("### 📊 Sentiment Analysis from Latest News")
-            with gr.Row():
-                sentiment_summary = gr.Label(label="Overall Sentiment", 
-                                           value={"Positive": 0, "Neutral": 0, "Negative": 0},
-                                           num_top_classes=3)
-            articles_output = gr.HTML(label="Latest News Analysis")
+    with gr.Tabs():
+        with gr.TabItem("Sentiment Analysis"):
+            gr.Markdown("## News Sentiment Analysis")
+            articles_output = gr.HTML(label="Analyzed News Articles")  # Changed to HTML component
 
-        with gr.TabItem("📉 Technical Analysis", id=2):
-            with gr.Row():
-                with gr.Column(scale=2):
-                    gr.Markdown("### Price Chart")
-                    price_chart = gr.Plot(label="Technical Analysis")
-                with gr.Column(scale=1):
-                    gr.Markdown("### Key Indicators")
-                    ta_metrics = gr.DataFrame(
-                        headers=["Indicator", "Value"],
-                        datatype=["str", "number"],
-                        interactive=False,
-                        label="Technical Metrics"
-                    )
-        
-        with gr.TabItem("💡 Recommendation", id=3):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    gr.Markdown("### Trading Recommendation")
-                    recommendation_output = gr.Markdown()
-                with gr.Column(scale=1):
-                    gr.Markdown("### Risk Analysis")
-                    risk_indicators = gr.DataFrame(
-                        headers=["Risk Factor", "Severity"],
-                        datatype=["str", "str"],
-                        interactive=False
-                    )
+        with gr.TabItem("Technical Analysis"):
+            price_chart = gr.Plot(label="Price Analysis")
+            ta_json = gr.JSON(label="Technical Indicators")
 
-    # Add loading animation
-    analyze_btn.click(
-        lambda: gr.Loading(loader_args={
-            'text': '🔮 Analyzing market data...',
-            'spinner_type': 'dots',
-            'timeout': 10
-        }), 
-        outputs=[]
-    )
+        with gr.TabItem("Recommendation"):
+            recommendation_output = gr.Textbox(
+                lines=8,
+                label="Analysis Summary",
+                interactive=False
+            )
     
     analyze_btn.click(
         analyze_asset_sentiment,
         inputs=[input_asset],
-        outputs=[
-            articles_output, 
-            ta_metrics, 
-            recommendation_output, 
-            price_chart
-        ]
+        outputs=[articles_output, ta_json, recommendation_output, price_chart]
     )
     
-    # Additional callback for sentiment summary
-    def update_sentiment_summary(articles):
-        sentiments = [a['sentiment']['label'].lower() for a in articles]
-        return {
-            "Positive": sentiments.count('positive'),
-            "Neutral": sentiments.count('neutral'),
-            "Negative": sentiments.count('negative')
-        }
-    
 logging.info("Launching enhanced Gradio interface")
 iface.queue().launch()

requirements.txt

@@ -7,5 +7,4 @@ GoogleNews==1.6.14
 yfinance
 fuzzywuzzy
 matplotlib
-numpy
-python-Levenshtein
+numpy