import gradio as gr from PIL import Image from inference.main import MultiModalPhi2 # gr.themes.builder() messages = [] multimodal_phi2 = MultiModalPhi2( modelname_or_path="GunaKoppula/Llava-Phi2", temperature=0.2, max_new_tokens=1024, device="cpu", ) def add_content(chatbot, text, image, audio_upload, audio_mic) -> gr.Chatbot: textflag, imageflag, audioflag = False, False, False if text not in ["", None]: chatbot.append((text, None)) textflag = True if image is not None: chatbot.append(((image,), None)) imageflag = True if audio_mic is not None: chatbot.append(((audio_mic,), None)) audioflag = True else: if audio_upload is not None: chatbot.append(((audio_upload,), None)) audioflag = True if not any([textflag, imageflag, audioflag]): # Raise an error if neither text nor file is provided raise gr.Error("Enter a valid text, image or audio") return chatbot def clear_data(): return {prompt: None, image: None, audio_upload: None, audio_mic: None, chatbot: []} def run(history, text, image, audio_upload, audio_mic): if text in [None, ""]: text = None if audio_upload is not None: audio = audio_upload elif audio_mic is not None: audio = audio_mic else: audio = None print("text", text) print("image", image) print("audio", audio) if image is not None: image = Image.open(image) outputs = multimodal_phi2(text, audio, image) # outputs = "" history.append((None, outputs.title())) return history, None, None, None, None with gr.Blocks(theme='Taithrah/Minimal') as demo: with gr.Column(): gr.Markdown("## MulitModal implementation of [Phi2](https://huggingface.co/microsoft/phi-2) model from Scratch") gr.Markdown("Please find the source code and training details [here](https://github.com/GunaKoppula/ERAV1-CAPSTONE).") with gr.Row(): chatbot = gr.Chatbot( avatar_images=("🧑", "🤖"), height=550, ) with gr.Row(): with gr.Column(scale=4): # Creating a column with a scale of 6 with gr.Box(): with gr.Column(): with gr.Row(): # Adding a Textbox with a placeholder "write prompt" prompt = gr.Textbox( placeholder="Enter Prompt", lines=2, label="Query", value=None ) # Creating a column with a scale of 2 with gr.Row(): # Adding image image = gr.Image(type="filepath", value=None) # Creating a column with a scale of 2 with gr.Row(): # Add audio audio_upload = gr.Audio(source="upload", type="filepath") audio_mic = gr.Microphone(source="microphone", type="filepath", format="mp3") # Adding a Button with gr.Row(): submit = gr.Button() with gr.Row(): clear = gr.Button(value="Clear") submit.click( add_content, inputs=[chatbot, prompt, image, audio_upload, audio_mic], outputs=[chatbot], ).success( run, inputs=[chatbot, prompt, image, audio_upload, audio_mic], outputs=[chatbot, prompt, image, audio_upload, audio_mic], ) clear.click( clear_data, outputs=[prompt, image, audio_upload, audio_mic, chatbot], ) demo.launch()