app.py

app.py

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+
+import gradio as gr
+import requests
+import pandas as pd
+import plotly.graph_objs as go
+from transformers import pipeline
+
+# Load ChatGPT model (adjust to use a model supported in Hugging Face Spaces)
+chatgpt = pipeline("text-generation", model="gpt2")  # Change "gpt2" to "chatgpt" if available
+
+# Function to fetch and process data from GPT model
+def fetch_and_process_data(prompt):
+    response = chatgpt(prompt, max_length=200, do_sample=True)[0]['generated_text']
+    return response
+
+# Function to fetch historical price data from CoinGecko
+def fetch_historical_data(coin_id, from_timestamp, to_timestamp):
+    url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart/range?vs_currency=usd&from={from_timestamp}&to={to_timestamp}"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        prices = data['prices']
+        return prices
+    else:
+        return f"Error fetching historical data for {coin_id}"
+
+# Function to convert dates to timestamps
+def date_to_timestamp(date_str):
+    return int(pd.Timestamp(date_str).timestamp())
+
+# Function to plot historical prices using Plotly
+def plot_historical_prices(coin_name, from_date, to_date):
+    from_timestamp = date_to_timestamp(from_date)
+    to_timestamp = date_to_timestamp(to_date)
+    
+    prices = fetch_historical_data(coin_name, from_timestamp, to_timestamp)
+    
+    if isinstance(prices, str):  # In case of error
+        return prices
+    
+    df = pd.DataFrame(prices, columns=['timestamp', 'price'])
+    df['date'] = pd.to_datetime(df['timestamp'], unit='ms')
+    
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=df['date'], y=df['price'], mode='lines', name=coin_name))
+    fig.update_layout(title=f'{coin_name.capitalize()} Prices from {from_date} to {to_date}', xaxis_title='Date', yaxis_title='Price (USD)')
+    return fig
+
+# Top 100 Cryptocurrencies (by CoinGecko IDs)
+top_100_cryptos = [
+    'bitcoin', 'ethereum', 'binancecoin', 'ripple', 'solana', 'cardano', 'dogecoin', 'polygon', 'polkadot', 'tron',
+    # Add more top coins as necessary
+]
+
+# Function to display both ChatGPT response and price chart
+def combined_analysis(prompt, coin_name, from_date, to_date):
+    # Fetch ChatGPT response
+    chatgpt_response = fetch_and_process_data(prompt)
+    
+    # Fetch and plot historical price data
+    price_chart = plot_historical_prices(coin_name, from_date, to_date)
+    
+    return chatgpt_response, price_chart
+
+# Create Gradio Interface
+interface = gr.Interface(
+    fn=combined_analysis,
+    inputs=[
+        gr.Textbox(label="Enter a prompt for ChatGPT"),
+        gr.Dropdown(choices=top_100_cryptos, label="Select Cryptocurrency"),
+        gr.Textbox(value="2024-01-01", label="From Date (YYYY-MM-DD)"),
+        gr.Textbox(value="2025-12-31", label="To Date (YYYY-MM-DD)")
+    ],
+    outputs=[
+        gr.Textbox(label="ChatGPT Response"),
+        gr.Plot(label="Cryptocurrency Price Chart")
+    ],
+    title="ChatGPT and Cryptocurrency Analysis",
+    description="This tool provides real-time cryptocurrency analysis and allows you to interact with ChatGPT for insights."
+)
+
+# Launch Gradio app
+interface.launch(server_name="0.0.0.0")