Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
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import gradio as gr
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import requests
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API_KEY = "2d19ae2e41864ddf81690cc806ffe941" # Replace with your AIMLAPI API key
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def call_aimlapi(messages):
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url = "https://api.aimlapi.com/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json"
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}
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data = {
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"model": "gpt-4o-mini",
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"messages": messages
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}
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response = requests.post(url, headers=headers, json=data)
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if response.status_code == 200:
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return response.json()["choices"][0]["message"]["content"]
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else:
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return f"Error: {response.status_code} - {response.text}"
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def get_solution(animal_type, species, age, gender, weight, info_type, issue_desc, symptoms):
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# Build a detailed prompt with symptom info (if health selected)
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symptom_text = ""
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if info_type.lower() == "health" and symptoms:
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symptom_text = f"\nSymptoms reported: {', '.join(symptoms)}"
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user_message = f"""
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Animal type: {animal_type}
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Species: {species}
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Age: {age}
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Gender: {gender}
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Weight: {weight}
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Information requested: {info_type}
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Description: {issue_desc}
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{symptom_text}
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Please provide a detailed, clear, and helpful answer based on these details.
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Include:
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- Emergency warnings if any critical symptoms are present.
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- Nutrition tips if relevant.
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- Breed-specific information if applicable.
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- Safe natural remedies and medicines (with a disclaimer to consult a vet).
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- And any other useful advice.
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Make the response friendly and easy to understand.
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"""
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messages = [
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{"role": "system", "content": "You are a knowledgeable and helpful veterinary assistant."},
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{"role": "user", "content": user_message}
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]
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answer = call_aimlapi(messages)
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return answer
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# Common symptoms for health issues (can be expanded)
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COMMON_SYMPTOMS = [
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"Coughing", "Vomiting", "Diarrhea", "Lethargy", "Loss of appetite",
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"Limping", "Excessive scratching", "Swelling", "Discharge from eyes or nose",
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"Difficulty breathing", "Seizures", "Excessive thirst", "Weight loss"
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]
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with gr.Blocks() as demo:
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gr.Markdown("# 🐾 Pet & Animal Healthcare AI Assistant")
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with gr.Row():
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animal_type = gr.Dropdown(choices=["Pet", "Domestic", "Wild"], label="Animal Type", value="Pet", interactive=True)
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species = gr.Textbox(label="Species (e.g., dog, cat, cow, lion)", placeholder="Enter species", interactive=True)
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with gr.Row():
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age = gr.Number(label="Age (years)", value=1, interactive=True, precision=1)
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gender = gr.Dropdown(choices=["Male", "Female", "Unknown"], label="Gender", value="Unknown", interactive=True)
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weight = gr.Number(label="Weight (kg)", value=1, interactive=True, precision=1)
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info_type = gr.Dropdown(
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choices=["Health", "Nutrition", "Breed", "Other"],
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label="Information Requested",
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value="Health",
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interactive=True
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)
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issue_desc = gr.Textbox(label="Describe your issue or question (1-2 lines)", lines=3, placeholder="Enter description here...")
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symptoms = gr.CheckboxGroup(
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choices=COMMON_SYMPTOMS,
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label="Select symptoms (only if Health info requested)",
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visible=True
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)
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def toggle_symptoms_visibility(info_type):
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return gr.update(visible=(info_type == "Health"))
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info_type.change(fn=toggle_symptoms_visibility, inputs=info_type, outputs=symptoms)
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submit_btn = gr.Button("Get Solution")
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output = gr.Textbox(label="AI Solution", lines=20)
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submit_btn.click(
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fn=get_solution,
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inputs=[animal_type, species, age, gender, weight, info_type, issue_desc, symptoms],
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outputs=output
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)
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if __name__ == "__main__":
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demo.launch()
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