Create app.py

app.py

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+import streamlit as st
+
+# Create a Streamlit app
+st.title("AI Symptom Checker")
+st.write("Please enter your symptoms:")
+
+# Create a text input field
+symptoms_input = st.text_input("Symptoms:", value="", max_chars=500)
+
+# Create a button to trigger the API call
+submit_button = st.button("Check Symptoms")
+
+# Define the Google Gemini API call function
+def call_gemini_api(symptoms, api_key):
+    client = build('gemini', 'v1', developerKey=api_key)
+    request = {
+        'query': symptoms,
+        'languageCode': 'en-US',
+        'maxResults': 10
+    }
+    response = client.health().symptomChecker().query(body=request).execute()
+    results = response.get('results', [])
+    return results
+
+# Define the response processing function
+def process_response(results):
+    top_results = results[:3]
+    response_list = []
+    for result in top_results:
+        condition_name = result.get('condition', {}).get('name')
+        probability = result.get('probability')
+        response_string = f"**{condition_name}**: {probability:.2f}%"
+        response_list.append(response_string)
+    return response_list
+
+# Define the main function to call the API and process the response
+def check_symptoms(symptoms, api_key):
+    results = call_gemini_api(symptoms, api_key)
+    response_list = process_response(results)
+    return response_list
+
+# Get the API key from the environment variables
+api_key = st.secrets["AIzaSyBKkDeuMYrYSvwiRX4eyqJ8Vy8xfVwPfGQ"]
+
+# Call the main function when the button is clicked
+if submit_button:
+    symptoms = symptoms_input
+    response_list = check_symptoms(symptoms, api_key)
+    st.write("Possible conditions:")
+    for response in response_list:
+        st.write(response)