Delete app.py

app.py

@@ -1,109 +0,0 @@
-import gradio as gr
-import pandas as pd
-from datetime import datetime, timedelta
-import requests
-import json
-from mistralai.client import MistralClient
-from mistralai.models.chat_completion import ChatMessage
-import os
-
-# Initialize Mistral AI client
-# Make sure to set MISTRAL_API_KEY in your Hugging Face Space secrets
-client = MistralClient(api_key=os.environ.get('MISTRAL_API_KEY'))
-
-def fetch_nifty_data():
-    try:
-        end_date = datetime.now()
-        start_date = end_date - timedelta(days=15)
-        
-        url = f"https://query1.finance.yahoo.com/v8/finance/chart/%5ENSEI?period1={int(start_date.timestamp())}&period2={int(end_date.timestamp())}&interval=1d"
-        
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
-        }
-        
-        response = requests.get(url, headers=headers)
-        data = response.json()
-        
-        timestamps = data['chart']['result'][0]['timestamp']
-        quote = data['chart']['result'][0]['indicators']['quote'][0]
-        
-        df = pd.DataFrame({
-            'Date': [datetime.fromtimestamp(ts).strftime('%Y-%m-%d') for ts in timestamps],
-            'Open': quote['open'],
-            'High': quote['high'],
-            'Low': quote['low'],
-            'Close': quote['close'],
-            'Volume': quote['volume']
-        })
-        
-        numeric_columns = ['Open', 'High', 'Low', 'Close']
-        df[numeric_columns] = df[numeric_columns].round(2)
-        
-        return df
-    except Exception as e:
-        print(f"Error fetching data: {str(e)}")
-        return pd.DataFrame()
-
-def get_mistral_analysis(df):
-    try:
-        # Get last 10 days of data
-        last_10_days = df.tail(10)
-        
-        # Format data for prompt
-        data_str = "this is the last 10 days data for nifty index, Open\tHigh\tLow\tClose\n"
-        for _, row in last_10_days.iterrows():
-            data_str += f"{row['Open']}\t{row['High']}\t{row['Low']}\t{row['Close']}\n"
-        
-        data_str += "so i need you to give me the setup for today by priceaction levels"
-        
-        # Get analysis from Mistral AI
-        messages = [
-            ChatMessage(role="user", content=data_str)
-        ]
-        
-        response = client.chat(
-            model="mistral-tiny",
-            messages=messages
-        )
-        
-        return response.messages[0].content
-    except Exception as e:
-        return f"Error getting analysis: {str(e)}"
-
-def show_nifty_data_and_analysis():
-    df = fetch_nifty_data()
-    analysis = get_mistral_analysis(df) if not df.empty else "Unable to fetch data"
-    return df, analysis
-
-# Create Gradio interface with auto-refresh
-with gr.Blocks() as demo:
-    gr.Markdown("# NIFTY 50 Analysis with Mistral AI")
-    gr.Markdown("Displays the last 15 days of trading data and AI analysis for NIFTY 50 index")
-    
-    # Add refresh button
-    refresh_btn = gr.Button("Refresh Data and Analysis")
-    
-    # Add outputs
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown("### Historical Data")
-            output_table = gr.Dataframe()
-        
-        with gr.Column():
-            gr.Markdown("### Mistral AI Analysis")
-            analysis_output = gr.Textbox(label="Price Action Analysis", lines=10)
-    
-    # Set up refresh button click event
-    refresh_btn.click(
-        fn=show_nifty_data_and_analysis,
-        outputs=[output_table, analysis_output],
-    )
-    
-    # Initial load of data
-    demo.load(
-        fn=show_nifty_data_and_analysis,
-        outputs=[output_table, analysis_output],
-    )
-
-demo.launch()