Update app.py

app.py

@@ -5,10 +5,10 @@ import requests
 import os
 import datetime
 import tempfile
-from transformers import pipeline
+import numpy as np  # Added for smoothing historical prices
 
 # Your Hugging Face API Token (set this safely)
-HF_TOKEN = os.getenv("HUGGINGFACE_TOKEN")  # Recommended: use environment variable
+HF_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
 
 # Mistral Inference API URL
 API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
@@ -39,6 +39,7 @@ sector_averages = {
     "Energy": {"P/E Ratio": 12, "P/S Ratio": 1.2, "P/B Ratio": 1.3},
 }
 
+
 # Safe Request Function
 def safe_request(url):
     try:
@@ -215,7 +216,7 @@ with gr.Blocks(theme=theme) as iface:
         growth = gr.Number(label="Assumed Growth Rate", value=0.1)
         book = gr.Number(label="Assumed Book Value", value=500000000)
 
-    with gr.Tabs():
+    with gr.Tabs() as tabs:
         with gr.Tab("AI Research Summary"):
             output_summary = gr.Textbox()
         with gr.Tab("Company Snapshot"):
@@ -240,13 +241,20 @@ with gr.Blocks(theme=theme) as iface:
                     outputs=[user_question]
                 )
 
-    submit_btn = gr.Button("Run Analysis")
-    download_btn = gr.Button("Download Report")
-    file_output = gr.File()
+    with gr.Row():
+        submit_btn = gr.Button("Run Analysis")
+        reset_btn = gr.Button("Reset All Fields")
+        download_btn = gr.Button("Download Report")
+        file_output = gr.File()
 
     submit_btn.click(fn=stock_research, inputs=[symbol, eps, growth, book],
                      outputs=[output_summary, output_info, output_ratios, output_sector, output_chart])
 
+    def reset_fields():
+        return "", 5.0, 0.1, 500000000, "", "", "", "", None
+
+    reset_btn.click(fn=reset_fields, inputs=[], outputs=[symbol, eps, growth, book, output_summary, output_info, output_ratios, output_sector, output_chart])
+
 
 
 if __name__ == "__main__":