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README.md

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+---
+title: MiniCapstone 2
+emoji: 🏆
+colorFrom: indigo
+colorTo: green
+sdk: gradio
+sdk_version: 5.1.0
+app_file: app.py
+pinned: false
+short_description: 100x Enchancing EmailGenie
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import pandas as pd
+
+# Function to generate email
+def generate_email(recipient_name, recipient_role, company_name, industry):
+    return (f"Hello {recipient_name},\n\n"
+            f"I hope this email finds you well. My name is Niket, and I'm reaching out to you regarding opportunities at {company_name} in the {industry} sector. "
+            "I believe we could explore potential collaboration. Would you be available for a coffee chat next week?\n\n"
+            "Looking forward to hearing from you!\n\n"
+            "Best,\nNiket")
+
+# Function to save user profile to Excel
+def save_user_profile(industry, target_audience, personal_info):
+    try:
+        df = pd.read_excel("user_profiles.xlsx")
+    except FileNotFoundError:
+        df = pd.DataFrame(columns=["Industry", "Target Audience", "Personal Info"])
+    
+    new_profile = pd.DataFrame({
+        "Industry": [industry],
+        "Target Audience": [target_audience],
+        "Personal Info": [personal_info]
+    })
+    
+    df = pd.concat([df, new_profile], ignore_index=True)
+    df.to_excel("user_profiles.xlsx", index=False)
+
+# Placeholder function for connecting to email client
+def connect_email_client(email_service):
+    return f"Connected to {email_service} successfully!"
+
+# Placeholder function for analytics
+def get_analytics():
+    return "Analytics data: Open rates, response rates, conversion metrics..."
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# EmailGenie - Your AI Email Generator")
+    
+    # User Profile Setup
+    gr.Markdown("### User Profile Setup")
+    industry = gr.Textbox(label="Industry", placeholder="Enter your industry")
+    target_audience = gr.Textbox(label="Target Audience", placeholder="Who are you targeting?")
+    personal_info = gr.Textbox(label="Personal Info", placeholder="Any relevant personal info")
+    save_button = gr.Button("Save Profile")
+    save_button.click(fn=save_user_profile, inputs=[industry, target_audience, personal_info])
+    
+    # Email Generation Section
+    gr.Markdown("### Generate Your Email")
+    recipient_name = gr.Textbox(label="Recipient's Name", placeholder="Enter the recipient's name")
+    recipient_role = gr.Textbox(label="Recipient's Role", placeholder="Enter the recipient's role")
+    company_name = gr.Textbox(label="Company Name", placeholder="Enter the company name")
+    output = gr.Textbox(label="Generated Email", interactive=False)
+    
+    generate_button = gr.Button("Generate Email")
+    generate_button.click(fn=generate_email, inputs=[recipient_name, recipient_role, company_name, industry], outputs=output)
+    
+    # Connect Email Client Section
+    gr.Markdown("### Connect Email Client")
+    email_service = gr.Dropdown(label="Select Email Client", choices=["SendGrid", "Resend"])
+    connect_button = gr.Button("Connect Email Client")
+    connect_output = gr.Textbox(label="Connection Status", interactive=False)  # Create output component
+    
+    connect_button.click(fn=connect_email_client, inputs=[email_service], outputs=connect_output)  # Updated outputs
+
+    # Analytics Dashboard Section
+    gr.Markdown("### Email Analytics")
+    analytics_button = gr.Button("Get Analytics")
+    analytics_output = gr.Textbox(label="Analytics Output", interactive=False)
+    analytics_button.click(fn=get_analytics, inputs=[], outputs=analytics_output)
+
+demo.launch()