Create app.py

app.py

@@ -0,0 +1,90 @@
+import os
+import streamlit as st
+from groq import Groq
+import PyPDF2
+import pdfplumber
+
+# Initialize Groq client
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+# Function to process PDF report
+def process_pdf(file):
+    text = ""
+    with pdfplumber.open(file) as pdf:
+        for page in pdf.pages:
+            text += page.extract_text()
+    return text
+
+# Function to query Groq API
+def query_groq(prompt):
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": prompt}],
+        model="llama-3.3-70b-versatile",
+    )
+    return chat_completion.choices[0].message.content
+
+# Streamlit interface
+st.set_page_config(page_title="vDoc", layout="wide")
+
+st.title("🌟 vDoc: Your Virtual Doctor 🌟")
+st.sidebar.header("User Input Options")
+
+# Input Section
+symptoms = st.sidebar.text_area("Describe your symptoms")
+uploaded_files = st.sidebar.file_uploader(
+    "Upload Medical Test Reports (PDF)", type=["pdf"], accept_multiple_files=True
+)
+medical_history = st.sidebar.text_area("Medical history or medications")
+
+if st.sidebar.button("Submit"):
+    st.subheader("Diagnosis")
+    
+    # Collect and process inputs
+    input_data = []
+    if symptoms:
+        input_data.append(f"Symptoms: {symptoms}")
+    if uploaded_files:
+        for file in uploaded_files:
+            report_text = process_pdf(file)
+            input_data.append(f"Test Report: {report_text}")
+    if medical_history:
+        input_data.append(f"Medical History: {medical_history}")
+
+    # Send inputs to Groq API for analysis
+    combined_input = "\n".join(input_data)
+    if combined_input:
+        response = query_groq(f"Diagnose the following medical issue:\n{combined_input}")
+        st.write(response)
+    else:
+        st.warning("Please provide at least one input for diagnosis.")
+
+# Chatbot Section
+st.subheader("🤖 Chat with vDoc")
+chat_input = st.text_input("Your question or response", "")
+if st.button("Ask"):
+    if chat_input:
+        chat_response = query_groq(chat_input)
+        st.write(chat_response)
+    else:
+        st.warning("Please enter a question or response.")
+
+# Additional Features
+st.sidebar.subheader("Additional Features")
+if st.sidebar.button("Explain Test Reports"):
+    if uploaded_files:
+        for file in uploaded_files:
+            report_text = process_pdf(file)
+            explanation = query_groq(f"Explain the following test report:\n{report_text}")
+            st.subheader(f"Explanation for {file.name}")
+            st.write(explanation)
+    else:
+        st.sidebar.warning("Upload test reports to get explanations.")
+
+medicine_name = st.sidebar.text_input("Enter Medicine Name for Details")
+if st.sidebar.button("Get Medicine Info"):
+    if medicine_name:
+        medicine_info = query_groq(f"Explain the use and details of the medicine: {medicine_name}")
+        st.subheader(f"Details about {medicine_name}")
+        st.write(medicine_info)
+    else:
+        st.sidebar.warning("Enter a medicine name to get details.")