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Update app.py
Browse files
app.py
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@@ -2,24 +2,53 @@ import gradio as gr
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import google.generativeai as genai
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from PIL import Image
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import os
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# Configure the Gemini API
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genai.configure(api_key=os.environ.get("AIzaSyCFdxcKVO6VSxEBaNE2W3LIvRLPEPpyMGw"))
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# Set up the model
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def chat_with_gemini(history, user_message, image):
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history = history or []
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return history, history
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def clear_conversation():
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@@ -27,7 +56,7 @@ def clear_conversation():
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# Define the Gradio interface
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(label="Chat with Gemini")
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msg = gr.Textbox(label="Type your message here")
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clear = gr.Button("Clear")
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image_upload = gr.Image(type="pil", label="Upload an image (optional)")
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@@ -37,12 +66,4 @@ with gr.Blocks() as demo:
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# Launch the app
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if __name__ == "__main__":
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demo.launch()
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# Requirements for Hugging Face Spaces
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# requirements.txt
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'''
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gradio==3.50.2
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google-generativeai==0.3.1
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Pillow==10.0.0
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'''
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import google.generativeai as genai
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from PIL import Image
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import os
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import io
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# Configure the Gemini API
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genai.configure(api_key=os.environ.get("AIzaSyCFdxcKVO6VSxEBaNE2W3LIvRLPEPpyMGw"))
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# Set up the model
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generation_config = {
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"temperature": 1,
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"top_p": 0.95,
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"top_k": 64,
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"max_output_tokens": 8192,
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"response_mime_type": "text/plain",
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}
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model = genai.GenerativeModel(
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model_name="gemini-1.5-flash",
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generation_config=generation_config,
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)
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def image_to_byte_array(image: Image) -> bytes:
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imgByteArr = io.BytesIO()
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image.save(imgByteArr, format=image.format)
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imgByteArr = imgByteArr.getvalue()
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return imgByteArr
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def chat_with_gemini(history, user_message, image):
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history = history or []
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try:
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if image is not None:
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# Convert image to byte array
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image_bytes = image_to_byte_array(image)
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# Create a Content object for the image
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image_parts = [{"mime_type": "image/jpeg", "data": image_bytes}]
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prompt_parts = [user_message] + image_parts
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else:
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prompt_parts = [user_message]
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# Generate content
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response = model.generate_content(prompt_parts)
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response_text = response.text
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history.append((user_message, response_text))
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except Exception as e:
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error_message = f"An error occurred: {str(e)}"
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history.append((user_message, error_message))
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return history, history
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def clear_conversation():
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# Define the Gradio interface
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(label="Chat with Gemini 1.5 Flash")
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msg = gr.Textbox(label="Type your message here")
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clear = gr.Button("Clear")
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image_upload = gr.Image(type="pil", label="Upload an image (optional)")
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# Launch the app
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if __name__ == "__main__":
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demo.launch()
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