Spaces:
Paused
Paused
| import os | |
| import sys | |
| from datetime import datetime | |
| from pathlib import Path | |
| import gradio as gr | |
| import plotly.graph_objects as go | |
| import uvicorn | |
| from dotenv import load_dotenv | |
| from fastapi import FastAPI | |
| from fastapi.staticfiles import StaticFiles | |
| from mistralai.client import ChatMessage, MistralClient | |
| # create a FastAPI app | |
| app = FastAPI() | |
| # create a static directory to store the static files | |
| static_dir = Path('./static') | |
| static_dir.mkdir(parents=True, exist_ok=True) | |
| # mount FastAPI StaticFiles server | |
| app.mount("/static", StaticFiles(directory=static_dir), name="static") | |
| # Gradio stuff | |
| # def predict(text_input): | |
| # file_name = f"{datetime.utcnow().strftime('%s')}.html" | |
| # file_path = static_dir / file_name | |
| # print(file_path) | |
| # with open(file_path, "w") as f: | |
| # f.write(f""" | |
| # <script src="https://cdn.tailwindcss.com"></script> | |
| # <body class="bg-gray-200 dark:text-white dark:bg-gray-900"> | |
| # <h1 class="text-3xl font-bold"> | |
| # Hello <i>{text_input}</i> From Gradio Iframe | |
| # </h1> | |
| # <h3>Filename: {file_name}</h3> | |
| # """) | |
| # iframe = f"""<iframe src="/static/{file_name}" width="100%" height="500px"></iframe>""" | |
| # link = f'<a href="/static/{file_name}" target="_blank">{file_name}</a>' | |
| # return link, iframe | |
| # with gr.Blocks() as block: | |
| # gr.Markdown(""" | |
| # ## Gradio + FastAPI + Static Server | |
| # This is a demo of how to use Gradio with FastAPI and a static server. | |
| # The Gradio app generates dynamic HTML files and stores them in a static directory. FastAPI serves the static files. | |
| # """) | |
| # with gr.Row(): | |
| # with gr.Column(): | |
| # text_input = gr.Textbox(label="Name") | |
| # markdown = gr.Markdown(label="Output Box") | |
| # new_btn = gr.Button("New") | |
| # with gr.Column(): | |
| # html = gr.HTML(label="HTML preview", show_label=True) | |
| # new_btn.click(fn=predict, inputs=[text_input], outputs=[markdown, html]) | |
| # Load environment variables | |
| load_dotenv() | |
| api_key = os.getenv('API_KEY') | |
| client = MistralClient(api_key=api_key) | |
| model = 'mistral-small' | |
| title = "Gaia Mistral Chat Demo" | |
| description = "Example of simple chatbot with Gradio and Mistral AI via its API" | |
| placeholder = "Posez moi une question sur l'agriculture" | |
| examples = ["Comment fait on pour produire du maïs ?", "Rédige moi une lettre pour faire un stage dans une exploitation agricole", "Comment reprendre une exploitation agricole ?"] | |
| def chat_with_mistral(user_input): | |
| messages = [ChatMessage(role="user", content=user_input)] | |
| chat_response = client.chat(model=model, messages=messages) | |
| return chat_response.choices[0].message.content | |
| def create_world_map( | |
| lat=45.5017, | |
| lon=-73.5673, | |
| ): | |
| fig = go.Figure(go.Scattermapbox | |
| ( | |
| lat=[lat], | |
| lon=[lon], | |
| mode='markers', | |
| marker=go.scattermapbox.Marker(size=14), | |
| text=['Montreal'], | |
| )) | |
| fig.update_layout( | |
| mapbox_style="open-street-map", | |
| hovermode='closest', | |
| mapbox=dict( | |
| bearing=0, | |
| center=go.layout.mapbox.Center( | |
| lat=lat, | |
| lon=lon, | |
| ), | |
| pitch=0, | |
| zoom=5 | |
| ), | |
| ) | |
| return fig | |
| with gr.Blocks() as demo: | |
| with gr.Column(): | |
| with gr.Row(): | |
| user_input = gr.Textbox(lines=2, placeholder=placeholder) | |
| send_chat_btn = gr.Button(value="Send") | |
| lat = gr.Number(value=45.5017, label="Latitude") | |
| lon = gr.Number(value=-73.5673, label="Longitude") | |
| update_map_btn = gr.Button(value="Update Map") | |
| chat_output = gr.Textbox(lines=2, placeholder="Réponse") | |
| # map: | |
| map = gr.Plot() | |
| demo.load(chat_with_mistral, user_input, chat_output) | |
| send_chat_btn.click(chat_with_mistral, user_input, chat_output) | |
| # map: | |
| demo.load(create_world_map, [lat, lon], map) | |
| update_map_btn.click(create_world_map, [lat, lon], map) | |
| # mount Gradio app to FastAPI app | |
| app = gr.mount_gradio_app(app, demo, path="/") | |
| # serve the app | |
| if __name__ == "__main__": | |
| uvicorn.run(app, host="0.0.0.0", port=7860) | |