Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,7 @@
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import gradio as gr
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import yfinance as yf
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def fetch_data(symbol, req_type):
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try:
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@@ -7,7 +9,6 @@ def fetch_data(symbol, req_type):
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if req_type.lower() == "info":
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info = ticker.info
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# Build HTML table from info dict
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rows = "".join(
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f"<tr><td><b>{key}</b></td><td>{value}</td></tr>"
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for key, value in info.items()
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@@ -23,8 +24,111 @@ def fetch_data(symbol, req_type):
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</body>
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</html>
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"""
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else:
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# Default static response
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html_response = f"""
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<html>
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<head><title>Stock Data for {symbol}</title></head>
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@@ -36,6 +140,7 @@ def fetch_data(symbol, req_type):
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</body>
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</html>
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"""
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except Exception as e:
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html_response = f"<html><body><h1>Error</h1><p>{str(e)}</p></body></html>"
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import gradio as gr
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import yfinance as yf
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import plotly.graph_objs as go
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import pandas as pd
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def fetch_data(symbol, req_type):
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try:
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if req_type.lower() == "info":
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info = ticker.info
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rows = "".join(
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f"<tr><td><b>{key}</b></td><td>{value}</td></tr>"
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for key, value in info.items()
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</body>
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</html>
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"""
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elif req_type.lower() == "daily":
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df = yf.download(symbol, period="1y", interval="1d")
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if df.empty:
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return f"<html><body><h1>No daily data for {symbol}</h1></body></html>"
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fig = go.Figure()
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# Candlestick
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fig.add_trace(go.Candlestick(
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x=df.index,
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open=df['Open'],
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high=df['High'],
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low=df['Low'],
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close=df['Close'],
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name="Price"
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))
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# Volume as bar chart
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fig.add_trace(go.Bar(
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x=df.index,
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y=df['Volume'],
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name="Volume",
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marker_color='lightblue',
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yaxis="y2"
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))
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# Layout with secondary y-axis
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fig.update_layout(
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title=f"Daily Candlestick Chart for {symbol}",
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xaxis_title="Date",
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yaxis_title="Price",
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yaxis2=dict(title="Volume", overlaying="y", side="right", showgrid=False),
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xaxis_rangeslider_visible=False,
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height=600
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)
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chart_html = fig.to_html(full_html=False)
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# Data table
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table_html = df.tail(30).to_html(classes="dataframe", border=1)
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html_response = f"""
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<html>
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<head><title>Daily Data for {symbol}</title></head>
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<body>
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<h1>Daily Data for {symbol}</h1>
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{chart_html}
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<h2>Recent Daily Data (last 30 rows)</h2>
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{table_html}
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</body>
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</html>
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"""
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elif req_type.lower() == "intraday":
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df = yf.download(symbol, period="1d", interval="5m")
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if df.empty:
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return f"<html><body><h1>No intraday data for {symbol}</h1></body></html>"
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fig = go.Figure()
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# Candlestick
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fig.add_trace(go.Candlestick(
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x=df.index,
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open=df['Open'],
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high=df['High'],
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low=df['Low'],
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close=df['Close'],
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name="Price"
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))
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# Volume
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fig.add_trace(go.Bar(
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x=df.index,
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y=df['Volume'],
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name="Volume",
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marker_color='orange',
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yaxis="y2"
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))
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fig.update_layout(
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title=f"Intraday Candlestick Chart for {symbol}",
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xaxis_title="Time",
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yaxis_title="Price",
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yaxis2=dict(title="Volume", overlaying="y", side="right", showgrid=False),
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xaxis_rangeslider_visible=False,
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height=600
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)
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chart_html = fig.to_html(full_html=False)
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table_html = df.tail(50).to_html(classes="dataframe", border=1)
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html_response = f"""
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<html>
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<head><title>Intraday Data for {symbol}</title></head>
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<body>
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<h1>Intraday Data for {symbol}</h1>
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{chart_html}
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<h2>Recent Intraday Data (last 50 rows)</h2>
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{table_html}
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</body>
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</html>
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"""
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else:
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html_response = f"""
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<html>
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<head><title>Stock Data for {symbol}</title></head>
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</body>
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</html>
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"""
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except Exception as e:
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html_response = f"<html><body><h1>Error</h1><p>{str(e)}</p></body></html>"
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