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disease_detection.py
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<<<<<<< HEAD
import google.generativeai as genai
from pathlib import Path
import gradio as gr
from dotenv import load_dotenv
import os
import re
# Load environment variables
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# Configuration and functions remain unchanged
generation_config = {
"temperature": 0.4,
"top_p": 1,
"top_k": 32,
"max_output_tokens": 4096,
}
safety_settings = [
{"category": f"HARM_CATEGORY_{category}", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}
for category in ["HARASSMENT", "HATE_SPEECH", "SEXUALLY_EXPLICIT", "DANGEROUS_CONTENT"]
]
model = genai.GenerativeModel(
model_name="gemini-1.5-flash",
generation_config=generation_config,
safety_settings=safety_settings,
)
def read_image_data(file_path):
image_path = Path(file_path)
if not image_path.exists():
raise FileNotFoundError(f"Could not find image: {image_path}")
return {"mime_type": "image/jpeg", "data": image_path.read_bytes()}
def clean_response_text(response_text):
clean_text = re.sub(r'[*,]+', '', response_text)
return clean_text
def generate_gemini_response(prompt, image_path, language):
language_prompt = f"Provide the following response in {language}: {prompt}"
image_data = read_image_data(image_path)
response = model.generate_content([language_prompt, image_data])
return clean_response_text(response.text)
def get_common_diseases(state, location, area):
region_prompt = f"""
As an expert plant pathologist, provide a short and concise response about common plant diseases that affect plants in the region specified below:
**Area:** {area}
**Location:** {location}
**State:** {state}
Focus on providing common diseases relevant to the specified region in under 100 words.
"""
response = model.generate_content(region_prompt)
return clean_response_text(response.text)
input_prompt = """
As a highly skilled plant pathologist, your expertise is indispensable in our pursuit of maintaining optimal plant health..."""
def process_uploaded_files(files, language, state, location, area):
file_path = files[0] if files else None
image_response = (
generate_gemini_response(input_prompt, file_path, language)
if file_path and language
else "Error: Missing file or language selection."
)
region_response = (
get_common_diseases(state, location, area)
if state and location and area
else "Error: Missing region information."
)
return file_path, image_response, region_response
# Enhanced Gradio UI with Green and White Theme
with gr.Blocks(css="""
body {
font-family: 'Roboto', sans-serif;
background: #ffffff;
color: #2e7d32;
}
.gradio-container {
max-width: 1200px;
margin: 0 auto;
padding: 20px;
border-radius: 10px;
background: #e8f5e9;
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.1);
}
#header {
text-align: center;
padding: 20px;
background: linear-gradient(90deg, #81c784, #4caf50);
color: white;
border-radius: 10px;
margin-bottom: 20px;
}
#header h1 {
font-size: 2.5rem;
margin: 0;
}
.btn {
background: #388e3c;
color: white;
border: none;
padding: 10px 20px;
border-radius: 5px;
cursor: pointer;
transition: transform 0.3s, background-color 0.3s;
}
.btn:hover {
background: #2e7d32;
transform: scale(1.05);
}
.output-section {
padding: 20px;
border-radius: 10px;
background: white;
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.05);
margin-bottom: 20px;
}
.sidebar {
background: #c8e6c9;
border-radius: 10px;
padding: 15px;
margin-right: 20px;
}
.main-content {
background: white;
border-radius: 10px;
padding: 20px;
}
""") as app:
gr.HTML("""
<div id="header">
<h1>🌱 Plant Health Diagnosis</h1>
<p>Analyze plant images and get regional disease insights</p>
</div>
""")
with gr.Row():
with gr.Column(elem_classes="sidebar"):
gr.Textbox(label="Area", placeholder="Enter the area", elem_id="area")
gr.Textbox(label="Location", placeholder="Enter the location", elem_id="location")
gr.Textbox(label="State", placeholder="Enter the state", elem_id="state")
gr.Dropdown(
["English", "Hindi", "Malayalam", "Tamil", "Telugu"],
label="Select Language",
value="English",
elem_id="language"
)
gr.UploadButton("Upload Plant Image", file_types=["image"], elem_classes="btn")
with gr.Column(elem_classes="main-content"):
gr.Image(label="Uploaded Image Preview", interactive=False)
gr.Textbox(label="AI Analysis", interactive=False, elem_classes="output-section")
gr.Textbox(label="Regional Disease Insights", interactive=False, elem_classes="output-section")
app.launch()
=======
import google.generativeai as genai
from pathlib import Path
import gradio as gr
from dotenv import load_dotenv
import os
import re
# Load environment variables
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# Configuration and functions remain unchanged
generation_config = {
"temperature": 0.4,
"top_p": 1,
"top_k": 32,
"max_output_tokens": 4096,
}
safety_settings = [
{"category": f"HARM_CATEGORY_{category}", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}
for category in ["HARASSMENT", "HATE_SPEECH", "SEXUALLY_EXPLICIT", "DANGEROUS_CONTENT"]
]
model = genai.GenerativeModel(
model_name="gemini-1.5-flash",
generation_config=generation_config,
safety_settings=safety_settings,
)
def read_image_data(file_path):
image_path = Path(file_path)
if not image_path.exists():
raise FileNotFoundError(f"Could not find image: {image_path}")
return {"mime_type": "image/jpeg", "data": image_path.read_bytes()}
def clean_response_text(response_text):
clean_text = re.sub(r'[*,]+', '', response_text)
return clean_text
def generate_gemini_response(prompt, image_path, language):
language_prompt = f"Provide the following response in {language}: {prompt}"
image_data = read_image_data(image_path)
response = model.generate_content([language_prompt, image_data])
return clean_response_text(response.text)
def get_common_diseases(state, location, area):
region_prompt = f"""
As an expert plant pathologist, provide a short and concise response about common plant diseases that affect plants in the region specified below:
**Area:** {area}
**Location:** {location}
**State:** {state}
Focus on providing common diseases relevant to the specified region in under 100 words.
"""
response = model.generate_content(region_prompt)
return clean_response_text(response.text)
input_prompt = """
As a highly skilled plant pathologist, your expertise is indispensable in our pursuit of maintaining optimal plant health..."""
def process_uploaded_files(files, language, state, location, area):
file_path = files[0] if files else None
image_response = (
generate_gemini_response(input_prompt, file_path, language)
if file_path and language
else "Error: Missing file or language selection."
)
region_response = (
get_common_diseases(state, location, area)
if state and location and area
else "Error: Missing region information."
)
return file_path, image_response, region_response
# Enhanced Gradio UI with Green and White Theme
with gr.Blocks(css="""
body {
font-family: 'Roboto', sans-serif;
background: #ffffff;
color: #2e7d32;
}
.gradio-container {
max-width: 1200px;
margin: 0 auto;
padding: 20px;
border-radius: 10px;
background: #e8f5e9;
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.1);
}
#header {
text-align: center;
padding: 20px;
background: linear-gradient(90deg, #81c784, #4caf50);
color: white;
border-radius: 10px;
margin-bottom: 20px;
}
#header h1 {
font-size: 2.5rem;
margin: 0;
}
.btn {
background: #388e3c;
color: white;
border: none;
padding: 10px 20px;
border-radius: 5px;
cursor: pointer;
transition: transform 0.3s, background-color 0.3s;
}
.btn:hover {
background: #2e7d32;
transform: scale(1.05);
}
.output-section {
padding: 20px;
border-radius: 10px;
background: white;
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.05);
margin-bottom: 20px;
}
.sidebar {
background: #c8e6c9;
border-radius: 10px;
padding: 15px;
margin-right: 20px;
}
.main-content {
background: white;
border-radius: 10px;
padding: 20px;
}
""") as app:
gr.HTML("""
<div id="header">
<h1>🌱 Plant Health Diagnosis</h1>
<p>Analyze plant images and get regional disease insights</p>
</div>
""")
with gr.Row():
with gr.Column(elem_classes="sidebar"):
gr.Textbox(label="Area", placeholder="Enter the area", elem_id="area")
gr.Textbox(label="Location", placeholder="Enter the location", elem_id="location")
gr.Textbox(label="State", placeholder="Enter the state", elem_id="state")
gr.Dropdown(
["English", "Hindi", "Malayalam", "Tamil", "Telugu"],
label="Select Language",
value="English",
elem_id="language"
)
gr.UploadButton("Upload Plant Image", file_types=["image"], elem_classes="btn")
with gr.Column(elem_classes="main-content"):
gr.Image(label="Uploaded Image Preview", interactive=False)
gr.Textbox(label="AI Analysis", interactive=False, elem_classes="output-section")
gr.Textbox(label="Regional Disease Insights", interactive=False, elem_classes="output-section")
app.launch()
>>>>>>> f2163d61f39c5991650498c1a71b1e6280d8f15b