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README.md

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----
-title: Great Offer
-emoji: 🚀
-colorFrom: yellow
-colorTo: gray
-sdk: streamlit
-sdk_version: 1.43.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Great Offer Generator
+
+A Streamlit web application that uses Google's Gemini AI to generate compelling offers based on your skills and services.
+
+## Features
+
+- Transform your skills into professional offers
+- Customize your target audience
+- Adjust creativity level for different outputs
+- Beautiful, responsive UI
+
+## Requirements
+
+- Python 3.7+
+- Streamlit
+- Google Generative AI Python SDK
+- Python-dotenv
+
+## Setup
+
+1. Clone this repository
+2. Install the required packages:
+   ```
+   pip install -r requirements.txt
+   ```
+3. Create a `.env` file in the root directory with your Google API key:
+   ```
+   GOOGLE_API_KEY=your_api_key_here
+   ```
+4. Run the application:
+   ```
+   streamlit run app.py
+   ```
+
+## How to Use
+
+1. Enter your skills in the "Your Skills" text area
+2. Describe your product or service in the "Product/Service" text area
+3. (Optional) Expand the "Advanced Settings" section to customize your target audience and adjust the creativity level
+4. Click the "Generate Offer" button
+5. View your generated offer
+
+## Deployment
+
+This app can be deployed on Streamlit Cloud, Hugging Face Spaces, or any other platform that supports Streamlit applications.
+
+## License
+
+MIT
+
+## Acknowledgements
+
+- Built with Streamlit
+- Powered by Google Gemini AI

app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+from styles import get_custom_css
+
+# Load environment variables
+load_dotenv()
+
+# Configure Google Gemini API
+genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
+model = genai.GenerativeModel('gemini-pro')
+
+# Custom CSS
+st.markdown(get_custom_css(), unsafe_allow_html=True)
+
+# App title and description
+st.title('🚀 Great Offer Generator')
+st.markdown('''### Transform your skills into compelling offers!''')
+
+# Main input section
+skills = st.text_area('💪 Your Skills', height=100, 
+                    help='List your key skills and expertise')
+product_service = st.text_area('🎯 Product/Service', height=100,
+                             help='Describe your product or service')
+
+# Accordion for additional settings
+with st.expander('⚙️ Advanced Settings'):
+    target_audience = st.text_area('👥 Target Audience', height=100,
+                                help='Describe your ideal customer or client')
+    temperature = st.slider('🌡️ Creativity Level', min_value=0.0, max_value=1.0, value=0.7,
+                         help='Higher values make the output more creative but less focused')
+
+# Generate button
+if st.button('Generate Offer 🎉'):
+    if not skills or not product_service:
+        st.error('Please fill in both Skills and Product/Service fields')
+    else:
+        with st.spinner('Creating your perfect offer...'):
+            prompt = f"""Based on the following information, create a compelling offer:
+            Skills: {skills}
+            Product/Service: {product_service}
+            Target Audience: {target_audience if target_audience else 'General audience'}
+            
+            Please create a professional and engaging offer that highlights the value proposition
+            and appeals to the target audience. Include a clear call to action."""
+            
+            try:
+                response = model.generate_content(prompt, temperature=temperature)
+                st.success('✨ Your offer is ready!')
+                st.markdown('### 📝 Generated Offer')
+                st.markdown(response.text)
+            except Exception as e:
+                st.error(f'An error occurred: {str(e)}')
+
+# Footer
+st.markdown('---')
+st.markdown('Made with ❤️ using Streamlit and Google Gemini AI')

requirements.txt

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+streamlit==1.32.0
+google-generativeai==0.3.2
+python-dotenv==1.0.1

styles.py

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+def get_custom_css():
+    return """
+<style>
+    .stApp {
+        background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
+    }
+    .main {
+        padding: 2rem;
+    }
+    .stMarkdown {
+        color: #2c3e50;
+    }
+    .stButton>button {
+        background-color: #3498db;
+        color: white;
+        border-radius: 5px;
+        padding: 0.5rem 2rem;
+        transition: all 0.3s ease;
+    }
+    .stButton>button:hover {
+        background-color: #2980b9;
+        transform: translateY(-2px);
+    }
+    .stTextInput>div>div>input {
+        border-radius: 5px;
+    }
+</style>
+"""