Update app.py

app.py

@@ -4,7 +4,7 @@ import os
 from groq import Groq
 from duckduckgo_search import DDGS
 
-# List of Groq models (defined globally to avoid NameError)
+# List of Groq models
 groq_models = [
     "qwen-2.5-32b",
     "qwen-2.5-coder-32b",
@@ -27,14 +27,81 @@ groq_models = [
     "mixtral-8x7b-32768"
 ]
 
+# Function to format JSON into readable Markdown
+def format_json_to_markdown(data):
+    markdown = "# Company Overview\n\n"
+
+    # Profile Section
+    profile = data.get("research", {}).get("profile", {})
+    markdown += "## Company Profile\n"
+    markdown += f"- **Company Name**: {profile.get('company_name', 'N/A')}\n"
+    markdown += f"- **Business Description**: {profile.get('business_description', 'N/A')}\n"
+    markdown += f"- **Headquarters**: {profile.get('headquarters', 'N/A')}\n"
+    markdown += f"- **Founded Year**: {profile.get('founded_year', 'N/A')}\n"
+    markdown += f"- **CEO**: {profile.get('ceo', 'N/A')}\n"
+    markdown += f"- **Employees**: {profile.get('employees', 'N/A')}\n"
+    markdown += f"- **Target Market**: {profile.get('target_market', 'N/A')}\n"
+    markdown += f"- **Products/Services**: \n"
+    for service in profile.get('products_services', []):
+        markdown += f"  - {service}\n"
+    markdown += f"- **Business Model**: {profile.get('business_model', 'N/A')}\n"
+    markdown += f"- **Growth Strategy**: {profile.get('growth_strategy', 'N/A')}\n\n"
+
+    # Financials Section
+    financials = data.get("research", {}).get("financials", {})
+    markdown += "## Financial Highlights\n"
+    markdown += f"- **Revenue**: {financials.get('revenue', {}).get('₹ Crores', 'N/A') or financials.get('revenue', {}).get('total_revenue_2024', 'N/A')} ₹ Crores\n"
+    markdown += f"- **Revenue Growth**: {financials.get('revenue_growth', 'N/A')}% \n"
+    markdown += f"- **Net Income**: {financials.get('net_income', {}).get('₹ Crores', 'N/A') or financials.get('net_income', {}).get('2024', 'N/A')} ₹ Crores\n"
+    markdown += f"- **Profit Margin**: {financials.get('profit_margin', 'N/A')}% \n"
+    markdown += f"- **Debt to Equity**: {financials.get('debt_to_equity', 'N/A')}\n"
+
+    # Key Ratios Table
+    ratios = financials.get("key_ratios", {})
+    if ratios:
+        markdown += "\n### Key Financial Ratios\n"
+        markdown += "| Ratio            | Value       |\n"
+        markdown += "|-------------------|-------------|\n"
+        for key, value in ratios.items():
+            markdown += f"| {key.replace('_', ' ').title()} | {value} |\n"
+
+    # IPO Details Section
+    ipo = data.get("research", {}).get("ipo_details", {})
+    markdown += "\n## IPO Details\n"
+    markdown += f"- **IPO Date**: {ipo.get('ipo_date', 'N/A')}\n"
+    markdown += f"- **Price Range**: {ipo.get('price_range', 'N/A')}\n"
+    markdown += f"- **Final Price**: {ipo.get('final_price', 'N/A')} ₹\n"
+    markdown += f"- **Shares Offered**: {ipo.get('shares_offered', 'N/A')}\n"
+    markdown += f"- **Total Raised**: {ipo.get('total_raised', 'N/A')} ₹ Crores\n"
+    markdown += f"- **Use of Proceeds**: {ipo.get('use_of_proceeds', 'N/A')}\n"
+    markdown += f"- **Lock-Up Period**: {ipo.get('lock_up_period', 'N/A')}\n\n"
+
+    # Recommendation Section
+    recommendation = data.get("recommendation", {})
+    markdown += "## Investment Recommendation\n"
+    markdown += f"- **Recommendation**: {recommendation.get('recommendation', 'N/A')}\n"
+    markdown += f"- **Confidence Level**: {recommendation.get('confidence_level', 'N/A')}/10\n"
+    markdown += f"- **Price Targets**: Low: {recommendation.get('price_targets', {}).get('low', 'N/A')} | Base: {recommendation.get('price_targets', {}).get('base', 'N/A')} | High: {recommendation.get('price_targets', {}).get('high', 'N/A')} ₹\n"
+    markdown += f"- **Investment Horizon**: {recommendation.get('investment_horizon', 'N/A')}\n"
+    markdown += f"- **Key Metrics to Watch**: \n"
+    for metric in recommendation.get('key_metrics_to_watch', []):
+        markdown += f"  - {metric}\n"
+    markdown += f"- **Entry Strategy**: {recommendation.get('entry_strategy', 'N/A')}\n"
+    markdown += f"- **Exit Conditions**: \n"
+    for condition in recommendation.get('exit_conditions', []):
+        markdown += f"  - {condition}\n"
+    markdown += f"- **Summary Rationale**: {recommendation.get('summary_rationale', 'N/A')}\n"
+
+    return markdown
+
 # Function to convert JSON to formatted text
 def json_to_text(filename):
     try:
-        if not filename:
-            return "Please select a JSON file."
+        if not filename or filename == "No JSON files found":
+            return "Please select a valid JSON file."
         with open(filename, 'r') as json_file:
             data = json.load(json_file)
-        return json.dumps(data, indent=2)
+        return format_json_to_markdown(data)
     except (FileNotFoundError, json.JSONDecodeError) as e:
         return f"Error: Could not load JSON file - {str(e)}"
 
@@ -67,7 +134,7 @@ def chat_with_json(api_key, model_name, filename, question):
             temperature=1,
             max_completion_tokens=1024,
             top_p=1,
-            stream=False  # Set to False for simplicity; can be True for streaming
+            stream=False
         )
         answer = completion.choices[0].message.content
 
@@ -91,7 +158,7 @@ iface = gr.Interface(
     inputs=gr.Dropdown(choices=get_json_files(), label="Select JSON File"),
     outputs=gr.Markdown(),
     title="JSON to Text",
-    description="Convert a JSON file to formatted text."
+    description="Convert a JSON file to a formatted, readable overview."
 )
 
 # Gradio Interface for Chat with JSON