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app-structure.py

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+import streamlit as st
+import google.generativeai as genai
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import os
+import json
+
+# Configure page
+st.set_page_config(
+    page_title="HerCorners",
+    page_icon="👑",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+# Initialize API keys safely
+def initialize_apis():
+    try:
+        # For Gemini
+        genai.configure(api_key=st.secrets["GEMINI_API_KEY"])
+        
+        # For Hugging Face
+        os.environ["HUGGINGFACE_API_TOKEN"] = st.secrets["HUGGINGFACE_API_KEY"]
+        
+        return True
+    except Exception as e:
+        st.error(f"Error initializing APIs: {str(e)}")
+        return False
+
+# Create configuration file for API settings
+def create_config():
+    config = {
+        "gemini_model": "gemini-pro",
+        "huggingface_model": "google/gemma-7b",
+        "max_tokens": 1000,
+        "temperature": 0.7
+    }
+    return config
+
+# Main application class
+class HerCorners:
+    def __init__(self):
+        self.config = create_config()
+        self.apis_initialized = initialize_apis()
+        
+    def generate_gemini_response(self, prompt):
+        try:
+            model = genai.GenerativeModel(self.config["gemini_model"])
+            response = model.generate_content(prompt)
+            return response.text
+        except Exception as e:
+            st.error(f"Error generating response: {str(e)}")
+            return None
+
+    # Add other methods here...
+
+# Main execution
+def main():
+    app = HerCorners()
+    
+    if not app.apis_initialized:
+        st.warning("Please configure your API keys in the Space settings.")
+        st.info("""
+        To add your API keys:
+        1. Go to your Space Settings
+        2. Navigate to 'Secrets'
+        3. Add GEMINI_API_KEY and HUGGINGFACE_API_KEY
+        """)
+        return
+        
+    # Rest of your application code...
+
+if __name__ == "__main__":
+    main()

readme.txt

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+# HerCorners - AI-Powered Women's Empowerment Platform
+
+## Setup Instructions
+1. Create a new Space on Hugging Face
+2. Choose Streamlit as the SDK
+3. Add your API keys in the Space settings
+4. Deploy the application
+
+## Environment Variables
+Add these in your Hugging Face Space settings under "Repository Secrets":
+- GEMINI_API_KEY
+- HUGGINGFACE_API_KEY

requirements.txt

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+streamlit==1.31.0
+google-generativeai==0.3.1
+transformers==4.36.2
+torch==2.1.2
+python-dotenv==1.0.0
+sounddevice==0.4.6
+librosa==0.10.1
+soundfile==0.12.1
+numpy==1.24.3
+pandas==2.1.4
+plotly==5.18.0
+Pillow==10.2.0
+streamlit-lottie==0.0.5
+requests==2.31.0
+python-multipart==0.0.6

secrets.txt

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+GEMINI_API_KEY = "your-gemini-api-key"
+HUGGINGFACE_API_KEY = "your-huggingface-api-key"