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Update app.py
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app.py
CHANGED
@@ -1,14 +1,29 @@
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import gradio as gr
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from utils import generate_response
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# Define chatbot interaction function
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def chat(user_input, chat_history):
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try:
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# Generate response
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response = generate_response(user_input)
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# Update chat history
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chat_history.append(("User", user_input))
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chat_history.append(("AI", response))
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# Format chat history for display with a conversational style
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formatted_history = "\n".join(
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[f"{role}: {message}" for role, message in chat_history]
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@@ -17,7 +32,7 @@ def chat(user_input, chat_history):
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except Exception as e:
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return f"Error: {e}", chat_history
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# Create Gradio interface with updated
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with gr.Blocks(css="""
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body {
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background-color: #f7f7f7;
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@@ -36,11 +51,12 @@ with gr.Blocks(css="""
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padding: 30px;
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border-radius: 15px;
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box-shadow: 0px 10px 30px rgba(0, 0, 0, 0.1);
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}
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.gradio-container .textbox, .gradio-container .button {
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background-color: #eeeeee;
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color: #333;
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border: 1px solid #
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border-radius: 10px;
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padding: 12px;
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font-size: 16px;
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@@ -60,10 +76,10 @@ with gr.Blocks(css="""
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#chatbox {
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height: 350px;
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overflow-y: auto;
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border:
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padding: 20px;
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border-radius: 10px;
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background-color: #
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color: #333;
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margin-bottom: 20px;
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font-size: 14px;
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@@ -86,8 +102,8 @@ with gr.Blocks(css="""
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margin-left: auto;
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}
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""") as demo:
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gr.Markdown("## 🤖 **Professional Groq Chatbot**")
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gr.Markdown("Type your message below to
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# Define layout with vertical alignment
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with gr.Column():
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elem_id="chatbox",
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)
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# State to hold chat history
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chat_history = gr.State([])
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# Button functionalities
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submit_button.click(
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fn=chat,
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inputs=[user_input, chat_history],
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outputs=[chatbot_output, chat_history],
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)
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import gradio as gr
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from utils import generate_response
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# Placeholder function for image description (replace this with a real model or API)
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def describe_image(image):
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# This is a placeholder. In a real implementation, use a model like CLIP or other image captioning models.
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# You can integrate an API or a pre-trained model to generate descriptions for images.
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return "This is a placeholder description for the uploaded image."
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# Define chatbot interaction function
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def chat(user_input, chat_history, image):
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try:
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# Generate text response
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response = generate_response(user_input)
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# If an image is uploaded, describe it
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if image is not None:
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image_description = describe_image(image)
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response += f"\n\n[Image Description]: {image_description}"
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else:
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image_description = "No image uploaded."
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# Update chat history
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chat_history.append(("User", user_input))
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chat_history.append(("AI", response))
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# Format chat history for display with a conversational style
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formatted_history = "\n".join(
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[f"{role}: {message}" for role, message in chat_history]
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except Exception as e:
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return f"Error: {e}", chat_history
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# Create Gradio interface with updated light boundary design and image upload
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with gr.Blocks(css="""
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body {
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background-color: #f7f7f7;
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padding: 30px;
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border-radius: 15px;
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box-shadow: 0px 10px 30px rgba(0, 0, 0, 0.1);
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border: 1px solid #dcdcdc; /* Light border */
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}
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.gradio-container .textbox, .gradio-container .button {
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background-color: #eeeeee;
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color: #333;
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border: 1px solid #dcdcdc; /* Light border */
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border-radius: 10px;
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padding: 12px;
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font-size: 16px;
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#chatbox {
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height: 350px;
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overflow-y: auto;
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border: 1px solid #dcdcdc; /* Light border */
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padding: 20px;
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border-radius: 10px;
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background-color: #f9f9f9;
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color: #333;
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margin-bottom: 20px;
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font-size: 14px;
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margin-left: auto;
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}
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""") as demo:
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gr.Markdown("## 🤖 **Professional Groq Chatbot with Image Description**")
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gr.Markdown("Type your message below or upload an image to get a description!")
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# Define layout with vertical alignment
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with gr.Column():
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elem_id="chatbox",
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)
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# Image upload component
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image_input = gr.Image(
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label="Upload Image for Description",
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type="pil", # PIL (Python Imaging Library) type for image input
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interactive=True,
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elem_id="image-upload",
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)
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# State to hold chat history
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chat_history = gr.State([])
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# Button functionalities
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submit_button.click(
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fn=chat,
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inputs=[user_input, chat_history, image_input],
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outputs=[chatbot_output, chat_history],
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)
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