Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+from PIL import Image
+import os
+
+# Configure the Gemini API
+genai.configure(api_key=os.environ.get("AIzaSyCFdxcKVO6VSxEBaNE2W3LIvRLPEPpyMGw"))
+
+# Set up the model
+model = genai.GenerativeModel('gemini-pro-vision')
+
+def chat_with_gemini(history, user_message, image):
+    history = history or []
+    
+    if image is not None:
+        # If an image is uploaded, include it in the message
+        response = model.generate_content([user_message, image])
+    else:
+        # Text-only message
+        response = model.generate_content(user_message)
+    
+    history.append((user_message, response.text))
+    return history, history
+
+def clear_conversation():
+    return None
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot(label="Chat with Gemini")
+    msg = gr.Textbox(label="Type your message here")
+    clear = gr.Button("Clear")
+    image_upload = gr.Image(type="pil", label="Upload an image (optional)")
+
+    msg.submit(chat_with_gemini, [chatbot, msg, image_upload], [chatbot, chatbot])
+    clear.click(clear_conversation, outputs=[chatbot])
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()
+
+# Requirements for Hugging Face Spaces
+# requirements.txt
+'''
+gradio==3.50.2
+google-generativeai==0.3.1
+Pillow==10.0.0
+'''