added select button for cultures

app.py

@@ -6,45 +6,6 @@ import pandas as pd
 
 
 import os
-
-title = "Démo GAIA - Les bénéfices de l'ombrage"
-description = "Example of simple chatbot with Gradio and Mistral AI via its API"
-# placeholder = "Posez moi une question sur l'agriculture"
-# examples = ["Je suis un agriculture basé pas loin de bordeaux et je cultive du mais et je cherche des recommandations d'autres cultures mieux adapté aux changements climatique ?",
-#             "Je suis un agriculteur basé au sud de la France vers Nice, je cherche des recommandations de cultures mieux adapté aux changements climatiques ?",]
-
-# #api_key = os.environ.get("MISTRAL_API_KEY")
-# #client = MistralClient(api_key=api_key)
-# #client = Mistral(api_key=api_key)
-# #model = 'open-mixtral-8x7b'
-# """
-# def chat_with_mistral(user_input, history):
-#     messages = [{"role": "user", "content": user_input}]
-
-#     chat_response = client.chat.complete(model=model, messages=messages)P
-#     return chat_response.choices[0].message.content
-# """
-
-# def chat_with_agrienergy(user_input, history):
-#     messages = [{"role": "user", "content": user_input}]
-#     result = kickoff(user_input=user_input)
-#     return f"{result}"
-
-# iface = gr.ChatInterface(
-#     fn=chat_with_agrienergy,
-#     chatbot=gr.Chatbot(height=300),
-#     textbox=gr.Textbox(placeholder=placeholder, container=False, scale=7),
-#     title=title,
-#     description=description,
-#     theme="soft",
-#     examples=examples,
-#     cache_examples=False,
-# )
-
-# iface.launch(share=True)
-
-
-# import gradio as gr
 from func_utils import *
 from summary_test import generate_irradiance_trend, get_mocked_summary
 
@@ -120,8 +81,8 @@ with gr.Blocks() as demo:
                             )
 
                         with gr.Row(elem_classes="box"):
-                            culture = gr.Textbox(
-                                label="Culture", scale=1, elem_classes="culture_box"
+                            culture = gr.Dropdown(
+                                label="Culture", scale=1, elem_classes="culture_box", choices=["Blé", "Colza", "Orge"]
                             )
 
                     with gr.Column(variant="panel", scale=3):

summary_test.py

@@ -103,10 +103,10 @@ def get_shaded_summary():
     import pandas as pd
     import numpy as np
 
-    from utils.soil_utils import find_nearest_point
+    from utils.soil_utils import find_nearest_point_to_city
 
     city = "Bourgogne Franche Comté"
-    closest_soil_features = find_nearest_point(city)
+    closest_soil_features = find_nearest_point_to_city(city)
     print(closest_soil_features)
 
     # Définir la période de 4 ans dans le passé + 15 ans dans le futur (19 ans)

utils/soil_utils.py

@@ -5,7 +5,7 @@ from shapely.geometry import Point
 
 load_dotenv()
 
-file_rmqs ='../data/soil_data/raw_data/rmqs.geojson'
+file_rmqs ='data/soil_data/raw_data/rmqs.geojson'
 df = gpd.read_file(file_rmqs)
 
 def get_city_coordinates(city_name):