app.py

app.py

@@ -4,8 +4,8 @@ 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
+# Load GPT-2 model (adjust if you're using a different supported model)
+chatgpt = pipeline("text-generation", model="gpt2")
 
 # Function to fetch and process data from GPT model
 def fetch_and_process_data(prompt):
@@ -42,8 +42,12 @@ def plot_historical_prices(coin_name, from_date, to_date):
     
     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
+    fig.update_layout(title=f'{coin_name.capitalize()} Prices from {from_date} to {to_date}', 
+                      xaxis_title='Date', 
+                      yaxis_title='Price (USD)')
+    
+    # Return the plot as an HTML div element
+    return fig.to_html()
 
 # Top 100 Cryptocurrencies (by CoinGecko IDs)
 top_100_cryptos = [
@@ -72,7 +76,7 @@ interface = gr.Interface(
     ],
     outputs=[
         gr.Textbox(label="ChatGPT Response"),
-        gr.Plot(label="Cryptocurrency Price Chart")
+        gr.HTML(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."