Update app.py

app.py

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+import openai
+import gradio as gr
+
+# Import all data modules
+from company_profile import company_profile
+from financials import financials
+from workforce import workforce
+# Import other modules as needed
+
+# Set up the OpenAI (GROQ) API
+openai.api_key = "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"
+openai.api_base = "https://api.groq.com/openai/v1"
+
+# Function to query the AI agent
+def query_ai(user_input):
+    # Contextual data from the application
+    context_data = f"""
+    Company Name: {company_profile['brand_name']}
+    Headquarters: {company_profile['headquarters']}
+    Founders: {', '.join(company_profile['founders'])}
+    Latest Valuation: {financials['latest_valuation']}
+    Total Funding: {financials['total_funding']}
+    Employees: {workforce['total_employees']}
+    """
+
+    # Call the OpenAI API
+    try:
+        response = openai.ChatCompletion.create(
+            model="llama-3.1-70b-versatile",
+            messages=[
+                {"role": "system", "content": "You are a Private Market Analysis AI Agent."},
+                {"role": "user", "content": f"{context_data}\n\n{user_input}"}
+            ]
+        )
+        return response.choices[0].message["content"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Gradio interface
+def chatbot_interface(user_input):
+    return query_ai(user_input)
+
+# Launch the Gradio app
+gr.Interface(
+    fn=chatbot_interface,
+    inputs="text",
+    outputs="text",
+    title="Satyam Market Analysis",
+    description="Ask me about private companies like Razorpay, including financials, products, and more!"
+).launch()